Sample QA case studies

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14industries

6detail sections

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SaaS — B2B platform: 85% test automation in 6 months

Client QA Case Study — Sample project and results

Project management SaaS, 12K companies · 6 months, team of 5

Challenge: Weekly releases were blocked by manual regression and flaky tests. Customers reported multi-tenant data issues.

1 · Test cases

2100 designed; 2100 executed; 2024 passed (96.4%); 1785 automation scripts.

ID	Module	Scenario	Type	Priority	Initial result
TC-TEN-005	Tenancy	Tenant A export excludes Tenant B tasks	Security	P1	Fail, bug raised
TC-API-118	API	Create project contract matches schema	API	P1	Pass
TC-BIL-020	Billing	Plan upgrade prorates invoice	Functional	P1	Pass
TC-UI-210	Boards	Drag card keeps order after refresh	UI	P2	Pass

2 · Bug reports

130 defects reported. Test history: the case table shows an initial test run. The linked defect was then fixed and verified in a later retest; the initial failed result is retained for traceability.

Jira-style issue record: APP-1190 — Export includes another workspace's tasks

Steps: Run TC-TEN-005: Create 2 workspaces, run CSV export in workspace A

Expected: Only workspace A rows

Actual: Rows from workspace B included

Critical severity · Fixed and verified

Release notes · v8.30.0

Tenant filter enforced at data layer
Quality gate added to pipeline
APP-1190 export leak
APP-1204 webhook retry loop
APP-1221 low: dark mode contrast

Four case rows selected from the modeled suite; their pass/fail ratio is not the full-suite pass rate.

3 · Technology

Playwright, Jest, GitHub Actions, Allure

Test environment: 4 browsers, 6 OS versions, 18 devices, and a CI/CD pipeline with quality gates.

4 · Outcome

Metric	Before	After
Release frequency	Every 2 weeks	Twice a week
Automation coverage	22%	85%
Flaky tests	31%	<2%

5 · How we would approach your project

Test pyramid redesign: unit, API, UI
Multi-tenant isolation and permission testing
Flaky test cleanup and parallel execution
Quality gates in the CI/CD pipeline

Multi-tenant data isolation
API and integration contract testing
Automated regression in CI/CD
Subscription, billing and permissions
Upgrade and migration safety

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Fintech — Payments app: zero critical bugs after launch

Client QA Case Study — Sample project and results

Mid-size digital wallet, 400K users · 5 months, team of 4

Challenge: Frequent payment failures and slow releases. Manual regression took 4 days and critical bugs reached users.

1 · Test cases

1240 designed; 1240 executed; 1186 passed (95.6%); 540 automation scripts.

ID	Module	Scenario	Type	Priority	Initial result
TC-PAY-014	Payments	Card payment with 3-D Secure	Functional	P1	Pass
TC-PAY-052	Refunds	Partial refund updates ledger	Functional	P1	Pass
TC-SEC-009	Auth	Session expires after 15 min idle	Security	P1	Pass
TC-API-077	Payments API	Duplicate request is idempotent	API	P2	Fail, bug raised

2 · Bug reports

94 defects reported. Test history: the case table shows an initial test run. The linked defect was then fixed and verified in a later retest; the initial failed result is retained for traceability.

Jira-style issue record: PAY-482 — Duplicate debit when payment request is retried

Steps: Run TC-API-077: Submit payment, drop network at confirmation, retry

Expected: One debit only

Actual: Customer charged twice

Critical severity · Fixed and verified

Release notes · v2.4.1

Idempotency keys added to all payment calls
Ledger reconciliation job added
PAY-482 duplicate debit
PAY-497 refund rounding error
PAY-510 low: receipt PDF font on Android 9

Four case rows selected from the modeled suite; their pass/fail ratio is not the full-suite pass rate.

3 · Technology

Postman, REST Assured, Selenium, OWASP ZAP, Jenkins

Test environment: 4 browsers, 6 OS versions, 18 devices, and a CI/CD pipeline with quality gates.

4 · Outcome

Metric	Before	After
Production defects / release	18	5
Regression time	4 days	1 day
Failed transactions	2.1%	0.4%

5 · How we would approach your project

Risk-based test plan around transactions, refunds and reconciliation
API test suite for 140 payment endpoints
Security and PCI-DSS test pass with a third-party scan
Automated regression wired into CI/CD

PCI-DSS compliance and secure card data handling
Transaction integrity, rounding and reconciliation
Fraud, auth and session security (penetration testing)
Concurrency and idempotency of payments
Third-party API and bank integration

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Healthcare — Patient portal: HIPAA-ready and fully audited

Client QA Case Study — Sample project and results

Regional telehealth provider · 4 months, team of 3

Challenge: Portal handled sensitive records but had no structured testing for privacy, access roles or data integrity.

1 · Test cases

960 designed; 960 executed; 931 passed (97.0%); 310 automation scripts.

ID	Module	Scenario	Type	Priority	Initial result
TC-ACC-003	Access	Billing role cannot read patient notes	Security	P1	Fail, bug raised
TC-FHR-021	Integration	FHIR patient resource sync	Integration	P1	Pass
TC-AUD-006	Audit	Record view is logged with user and time	Compliance	P1	Pass
TC-A11Y-012	Booking	Form usable with screen reader	Accessibility	P2	Pass

2 · Bug reports

72 defects reported. Test history: the case table shows an initial test run. The linked defect was then fixed and verified in a later retest; the initial failed result is retained for traceability.

Jira-style issue record: HLT-215 — Patient notes visible to unauthorised role

Steps: Run TC-ACC-003: Login as Billing role, open /patient/notes URL directly

Expected: 403 access denied

Actual: Notes displayed

Critical severity · Fixed and verified

Release notes · v1.8.0

Role permissions enforced on server side
Full audit trail for record access
HLT-215 notes exposure
HLT-231 appointment timezone shift
HLT-244 low: tooltip overlap on iPad

Four case rows selected from the modeled suite; their pass/fail ratio is not the full-suite pass rate.

3 · Technology

Cypress, JMeter, Axe, SoapUI, TestRail

Test environment: 4 browsers, 6 OS versions, 18 devices, and a CI/CD pipeline with quality gates.

4 · Outcome

Metric	Before	After
Access-control defects	23	0
Support tickets / month	310	112
Accessibility issues	47	3

5 · How we would approach your project

Role-based access and audit-trail testing
HL7/FHIR integration verification
Accessibility testing to WCAG 2.1 AA
Performance tests for peak appointment hours

HIPAA / GDPR privacy and audit trails
HL7 / FHIR and EHR integration accuracy
Role-based access control
Accessibility (WCAG 2.1 AA)
Data integrity and backup/restore

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EdTech — Learning platform: stable live classes for 10K learners

Client QA Case Study — Sample project and results

Online learning platform, 250K students · 4 months, team of 4

Challenge: Live classes dropped on exam days, quizzes lost answers, and accessibility gaps blocked school contracts.

1 · Test cases

1050 designed; 1050 executed; 1012 passed (96.4%); 430 automation scripts.

ID	Module	Scenario	Type	Priority	Initial result
TC-LIV-004	Live class	500 learners join in 60 seconds	Performance	P1	Pass
TC-QZ-017	Quiz	Answers saved on connection drop	Functional	P1	Fail, bug raised
TC-A11Y-008	Course page	Navigable by keyboard only	Accessibility	P1	Pass
TC-GRD-025	Grading	Weighted score matches rubric	Functional	P2	Pass

2 · Bug reports

82 defects reported. Test history: the case table shows an initial test run. The linked defect was then fixed and verified in a later retest; the initial failed result is retained for traceability.

Jira-style issue record: EDU-304 — Quiz answers lost after network drop

Steps: Run TC-QZ-017: Start quiz, disable network at question 5, reconnect

Expected: Answers restored

Actual: Answers cleared

Critical severity · Fixed and verified

Four case rows selected from the modeled suite; their pass/fail ratio is not the full-suite pass rate.

3 · Technology

k6, Cypress, Axe, BrowserStack, Jira

Test environment: 4 browsers, 6 OS versions, 18 devices, and a CI/CD pipeline with quality gates.

4 · Outcome

Metric	Before	After
Live-class failures	11%	3.3%
Lost quiz answers	1.4%	0%
Accessibility issues	52	4

5 · How we would approach your project

Load tests simulating 10K learners joining at once
Quiz and grading accuracy suites
Screen-reader and keyboard accessibility testing
Video quality checks on 3G, 4G and Wi-Fi

Peak load during live classes and exams
Quiz, grading and progress accuracy
Video streaming across networks and devices
Accessibility and student data privacy (FERPA, COPPA)
LMS and third-party tool integration (LTI)

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E-commerce — Black Friday ready: 5× traffic, no downtime

Client QA Case Study — Sample project and results

Online fashion retailer · 3 months, team of 3

Challenge: Previous sale events crashed checkout and lost an estimated six figures in revenue.

1 · Test cases

1480 designed; 1480 executed; 1401 passed (94.7%); 820 automation scripts.

ID	Module	Scenario	Type	Priority	Initial result
TC-CHK-008	Checkout	Second promo code is rejected without freezing checkout	Functional	P1	Fail, bug raised
TC-CHK-031	Checkout	Payment gateway timeout recovery	Functional	P1	Pass
TC-PRF-002	Load	5x traffic for 60 min, p95 under 2s	Performance	P1	Pass
TC-UI-044	Cart	Safari iOS 16 cart layout	Compatibility	P2	Pass

2 · Bug reports

117 defects reported. Test history: the case table shows an initial test run. The linked defect was then fixed and verified in a later retest; the initial failed result is retained for traceability.

Jira-style issue record: SHP-733 — Checkout freezes when 2 promo codes applied

Steps: Run TC-CHK-008: Add item, apply SAVE10 then FREESHIP quickly

Expected: Second code rejected with message

Actual: Spinner never ends, order blocked

Critical severity · Fixed and verified

Release notes · v5.12.0

Checkout service scaled and cached
Promo validation rewritten
SHP-733 checkout freeze
SHP-751 stock count mismatch
SHP-768 low: wishlist icon misaligned

Four case rows selected from the modeled suite; their pass/fail ratio is not the full-suite pass rate.

3 · Technology

k6, Playwright, BrowserStack, Grafana

Test environment: 4 browsers, 6 OS versions, 18 devices, and a CI/CD pipeline with quality gates.

4 · Outcome

Metric	Before	After
Checkout error rate	6.5%	0.3%
Page load (p95)	5.8 s	1.9 s
Conversion rate	2.2%	2.6%

5 · How we would approach your project

Load and stress testing up to 5× expected peak
Checkout, cart and promo-code test suites
Payment gateway and cross-device matrix
Real-user monitoring set up for launch day

Checkout, cart, coupons and tax logic
Peak-load and stress testing
Payment gateway and fraud checks
Cross-browser and mobile device matrix
SEO, speed and Core Web Vitals

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CRM — CRM migration: 1.2M records moved with zero loss

Client QA Case Study — Sample project and results

Sales CRM used by 3,000 teams · 5 months, team of 4

Challenge: A platform migration risked duplicate and missing customer records, and integrations with email and telephony kept breaking.

1 · Test cases

1320 designed; 1320 executed; 1271 passed (96.3%); 610 automation scripts.

ID	Module	Scenario	Type	Priority	Initial result
TC-MIG-002	Migration	Record counts match source	Data	P1	Pass
TC-DUP-011	Contacts	Merging duplicate contacts preserves both activity histories	Functional	P1	Fail, bug raised
TC-WF-030	Automation	Lead routed by region rule	Functional	P1	Pass
TC-INT-044	Email sync	Reply appears on contact timeline	Integration	P2	Pass

2 · Bug reports

99 defects reported. Test history: the case table shows an initial test run. The linked defect was then fixed and verified in a later retest; the initial failed result is retained for traceability.

Jira-style issue record: CRM-871 — Merged contacts lose activity history

Steps: Run TC-DUP-011: Merge two contacts that each have notes and calls

Expected: Combined history on one record

Actual: Only primary history kept

Critical severity · Fixed and verified

Four case rows selected from the modeled suite; their pass/fail ratio is not the full-suite pass rate.

3 · Technology

Postman, Playwright, Talend Data Quality, JMeter, Jira

Test environment: 4 browsers, 6 OS versions, 18 devices, and a CI/CD pipeline with quality gates.

4 · Outcome

Metric	Before	After
Duplicate records	6.8%	0.2%
Sync errors / week	240	81
Dashboard load time	7.4 s	4.8 s

5 · How we would approach your project

Migration reconciliation: record counts and field-level checks
Workflow and lead-routing rule tests
Integration tests for email, calendar and telephony
Performance tests on large accounts

Data migration and deduplication accuracy
Workflow, automation and lead-routing rules
Email, calendar and telephony integrations
Role-based access and data visibility
Reporting and dashboard correctness

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ERP — ERP rollout: 14 modules integrated, 99.8% data accuracy

Client QA Case Study — Sample project and results

Manufacturing group, 6 plants · 8 months, team of 6

Challenge: Inventory, finance and procurement modules were rolled out together with no end-to-end testing. Month-end close kept failing.

1 · Test cases

1860 designed; 1860 executed; 1790 passed (96.2%); 720 automation scripts.

ID	Module	Scenario	Type	Priority	Initial result
TC-O2C-006	Order to cash	Sales order creates invoice and ledger entry	E2E	P1	Pass
TC-P2P-012	Procurement	Three-way match on goods receipt	E2E	P1	Pass
TC-FIN-031	Finance	Multi-currency invoice tax uses the invoice currency	Functional	P1	Fail, bug raised
TC-INV-044	Inventory	Stock transfer updates both plants	Integration	P2	Pass

2 · Bug reports

128 defects reported. Test history: the case table shows an initial test run. The linked defect was then fixed and verified in a later retest; the initial failed result is retained for traceability.

Jira-style issue record: ERP-2210 — Wrong tax on multi-currency invoice

Steps: Run TC-FIN-031: Create EUR invoice for a USD-based plant

Expected: Tax in correct currency

Actual: Tax calculated in USD

Critical severity · Fixed and verified

Four case rows selected from the modeled suite; their pass/fail ratio is not the full-suite pass rate.

3 · Technology

Tricentis Tosca, SoapUI, JMeter, TestRail, Jira

Test environment: 4 browsers, 6 OS versions, 18 devices, and a CI/CD pipeline with quality gates.

4 · Outcome

Metric	Before	After
UAT cycle	8 weeks	2 weeks
Month-end close issues	37	3
Ledger mismatches	1.9%	0.2%

5 · How we would approach your project

End-to-end flows: order to cash, procure to pay
Ledger and tax calculation verification
Integration and data migration tests across 14 modules
UAT planning and defect triage support

End-to-end business flows (order to cash, procure to pay)
Financial calculation and ledger accuracy
Multi-module integration and data migration
Role, approval and segregation-of-duties checks
UAT support and month-end load

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AI/ML — AI assistant: 90% fewer wrong answers

Client QA Case Study — Sample project and results

Recommendation engine and support chatbot · 4 months, team of 3

Challenge: The chatbot invented answers and the recommendation model drifted after launch. No one could prove model quality.

1 · Test cases

890 designed; 890 executed; 845 passed (94.9%); 560 automation scripts.

ID	Module	Scenario	Type	Priority	Initial result
TC-MOD-003	Model	Accuracy at or above 90% on golden set	Evaluation	P1	Pass
TC-BIA-007	Fairness	Result gap across groups under 3%	Bias	P1	Pass
TC-SAF-015	Chatbot	Refund answer is grounded in an existing knowledge-base policy	Evaluation	P1	Fail, bug raised
TC-DRF-020	Data	Input drift alert triggers at threshold	Monitoring	P2	Pass

2 · Bug reports

62 defects reported. Test history: the case table shows an initial test run. The linked defect was then fixed and verified in a later retest; the initial failed result is retained for traceability.

Jira-style issue record: AI-146 — Chatbot cites policy that does not exist

Steps: Run TC-SAF-015: Ask about refund policy for digital goods

Expected: Answer grounded in knowledge base

Actual: Invented 90-day policy

Critical severity · Fixed and verified

Four case rows selected from the modeled suite; their pass/fail ratio is not the full-suite pass rate.

3 · Technology

Python, pytest, Great Expectations, MLflow, Evidently, Jira

Test environment: 4 browsers, 6 OS versions, 18 devices, and a CI/CD pipeline with quality gates.

4 · Outcome

Metric	Before	After
Hallucinated answers	12%	1.2%
Model accuracy	78%	92%
Response time (p95)	4.1 s	1.6 s

5 · How we would approach your project

Golden test sets and automated model evaluation
Bias and fairness checks across user groups
Prompt-injection and safety testing
Data drift monitoring after release

Model accuracy, precision and recall against test sets
Bias and fairness testing
Data quality and drift monitoring
Hallucination, prompt-injection and safety tests
Latency and cost under load

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AI & LLM Testing — Support chatbot: 91% fewer hallucinations

Client QA Case Study — Sample project and results

AI & LLM Testing company, 300K users · 4 months, team of 2

Challenge: Bot invented policies and prices.

1 · Test cases

1120 designed; 1120 executed; 1081 passed (96.5%); 851 automation scripts.

ID	Module	Scenario	Type	Priority	Initial result
AIL-TC-10	RAG	Hallucination and groundedness (RAG) evaluation	Evaluation	P1	Pass
AIL-TC-17	Security	Prompt-injection, jailbreak and data-leak red teaming	Security	P1	Fail, bug raised
AIL-TC-24	Prompts	Prompt and model-upgrade regression suites	Regression	P1	Pass
AIL-TC-31	Safety	Bias, toxicity and safety evaluation	Evaluation	P1	Pass

2 · Bug reports

84 defects reported. Test history: the case table shows an initial test run. The linked defect was then fixed and verified in a later retest; the initial failed result is retained for traceability.

Jira-style issue record: AIL-140 — Critical defect found in: prompt-injection, jailbreak and data-leak red teaming

Steps: Run AIL-TC-17 with a standard user flow

Expected: Result matches the requirement

Actual: Behavior deviates from the requirement

Critical severity · Fixed and verified

Four case rows selected from the modeled suite; their pass/fail ratio is not the full-suite pass rate.

3 · Technology

Python, promptfoo, DeepEval, Ragas, LangSmith, Jira

Test environment: 4 browsers, 6 OS versions, 18 devices, and a CI/CD pipeline with quality gates.

4 · Outcome

Metric	Before	After
Production defects / quarter	5	2
Regression time	3 days	1 day
Automation coverage	15%	76%

5 · How we would approach your project

Hallucination and groundedness (RAG) evaluation
Prompt-injection, jailbreak and data-leak red teaming
Prompt and model-upgrade regression suites
Bias, toxicity and safety evaluation

Hallucination and groundedness (RAG) evaluation
Prompt-injection, jailbreak and data-leak red teaming
Prompt and model-upgrade regression suites
Bias, toxicity and safety evaluation
Latency, cost and token usage under load

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Blockchain/Crypto — Crypto wallet launch: zero critical vulnerabilities

Client QA Case Study — Sample project and results

DeFi wallet and swap platform · 3 months, team of 3

Challenge: A launch deadline with real user funds at stake and no independent testing of contracts or wallet flows.

1 · Test cases

780 designed; 780 executed; 751 passed (96.3%); 390 automation scripts.

ID	Module	Scenario	Type	Priority	Initial result
TC-SC-004	Contract	Withdraw blocks reentrancy	Security	P1	Fail, bug raised
TC-TX-012	Swap	Slippage limit respected	Functional	P1	Pass
TC-WAL-020	Wallet	Seed phrase restore matches address	Functional	P1	Pass
TC-GAS-033	Transactions	Gas estimate within 10% of actual	Performance	P2	Pass

2 · Bug reports

52 defects reported. Test history: the case table shows an initial test run. The linked defect was then fixed and verified in a later retest; the initial failed result is retained for traceability.

Jira-style issue record: BLK-77 — Reentrancy possible in withdraw function

Steps: Run TC-SC-004: Call withdraw from malicious contract fallback

Expected: Second call reverts

Actual: Balance drained twice

Critical severity · Fixed and verified

Four case rows selected from the modeled suite; their pass/fail ratio is not the full-suite pass rate.

3 · Technology

Hardhat, Foundry, Slither, MythX, Postman, Jira

Test environment: 4 browsers, 6 OS versions, 18 devices, and a CI/CD pipeline with quality gates.

4 · Outcome

Metric	Before	After
Critical vulnerabilities	5	0
Failed transactions	4.2%	1.7%
Contract path coverage	54%	100%

5 · How we would approach your project

Smart contract unit and fuzz tests
Static and dynamic security analysis
Wallet, gas and transaction flow testing
Testnet load and failure simulation

Smart contract logic and security audit support
Transaction, gas and wallet flow testing
Reentrancy, overflow and access-control checks
Node, network and consensus behavior
Exchange and third-party API integration

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GovTech — Citizen portal: accessible, secure and ready for 50K users

Client QA Case Study — Sample project and results

National services portal · 6 months, team of 5

Challenge: The portal had to meet accessibility law, pass a security audit and survive deadline-day traffic.

1 · Test cases

1010 designed; 1010 executed; 980 passed (97.0%); 350 automation scripts.

ID	Module	Scenario	Type	Priority	Initial result
TC-A11Y-002	Forms	Screen reader reads all fields	Accessibility	P1	Fail, bug raised
TC-SEC-010	Login	Account locks after 5 failed attempts	Security	P1	Pass
TC-LD-018	Portal	50K users at deadline, p95 under 3 s	Performance	P1	Pass
TC-LNG-025	Content	All pages available in 3 languages	Functional	P2	Pass

2 · Bug reports

81 defects reported. Test history: the case table shows an initial test run. The linked defect was then fixed and verified in a later retest; the initial failed result is retained for traceability.

Jira-style issue record: GOV-412 — Application form fails with screen reader

Steps: Run TC-A11Y-002: Open form with NVDA and tab to date field

Expected: Field announced with label

Actual: Field silent, cannot submit

Critical severity · Fixed and verified

Four case rows selected from the modeled suite; their pass/fail ratio is not the full-suite pass rate.

3 · Technology

JMeter, Axe, OWASP ZAP, Selenium, Jira

Test environment: 4 browsers, 6 OS versions, 18 devices, and a CI/CD pipeline with quality gates.

4 · Outcome

Metric	Before	After
Accessibility violations	118	0
Page load at peak	9.2 s	2.4 s
Security findings	21	0

5 · How we would approach your project

Accessibility audits and assistive-technology testing
Security testing against OWASP Top 10
Load tests for deadline-day peaks
Low-bandwidth and multi-language checks

Accessibility (WCAG 2.1 AA, Section 508)
Security and data-protection compliance
Citizen-scale load testing
Multi-language and low-bandwidth support
Legacy system integration

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HRTech — Payroll platform: 100% calculation accuracy in 3 countries

Client QA Case Study — Sample project and results

HR and payroll SaaS, 1,800 companies · 5 months, team of 4

Challenge: Tax and leave rules differed by country and small errors caused wrong payslips and angry employees.

1 · Test cases

1150 designed; 1150 executed; 1114 passed (96.9%); 640 automation scripts.

ID	Module	Scenario	Type	Priority	Initial result
TC-PAY-005	Payroll	Part-year employee overtime tax matches the prorated rule table	Functional	P1	Fail, bug raised
TC-LVE-014	Leave	Carry-over capped per country	Functional	P1	Pass
TC-SEC-022	Access	Manager cannot see peers salary	Security	P1	Pass
TC-INT-031	Integration	Bank file format accepted	Integration	P2	Pass

2 · Bug reports

87 defects reported. Test history: the case table shows an initial test run. The linked defect was then fixed and verified in a later retest; the initial failed result is retained for traceability.

Jira-style issue record: HR-562 — Overtime tax wrong for part-year employees

Steps: Run TC-PAY-005: Run payroll for employee hired mid-month with overtime

Expected: Prorated tax

Actual: Full-month tax applied

Critical severity · Fixed and verified

Four case rows selected from the modeled suite; their pass/fail ratio is not the full-suite pass rate.

3 · Technology

Cypress, REST Assured, Postman, TestRail, Jira

Test environment: 4 browsers, 6 OS versions, 18 devices, and a CI/CD pipeline with quality gates.

4 · Outcome

Metric	Before	After
Payslip errors	2.6%	0%
Calculation defects / release	14	4
Payroll support tickets	190	52

5 · How we would approach your project

Rule-based test cases per country and tax year
Parallel run: old vs new payroll results
Access and privacy testing for employee data
Integration tests for ATS, banking and SSO

Payroll, tax and benefit calculation accuracy
Country and region rule coverage
Sensitive employee data privacy and access
Approval workflows and leave logic
ATS, payroll and SSO integrations

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InsurTech — Insurance platform: 68% fewer quote errors

Client QA Case Study — Sample project and results

Digital insurer, auto and health policies · 6 months, team of 5

Challenge: Complex premium rules and a new claims workflow produced wrong quotes and slow claim approvals.

1 · Test cases

1280 designed; 1280 executed; 1229 passed (96.0%); 590 automation scripts.

ID	Module	Scenario	Type	Priority	Initial result
TC-QTE-006	Quote	Combined multi-car and loyalty discount respects the cap	Functional	P1	Fail, bug raised
TC-CLM-015	Claims	Claim moves to review above threshold	Functional	P1	Pass
TC-PAY-024	Payments	Refund posts to original method	Integration	P1	Pass
TC-AUD-030	Compliance	Every policy change logged	Compliance	P2	Pass

2 · Bug reports

102 defects reported. Test history: the case table shows an initial test run. The linked defect was then fixed and verified in a later retest; the initial failed result is retained for traceability.

Jira-style issue record: INS-933 — Discount applied twice on multi-car policy

Steps: Run TC-QTE-006: Quote 3 cars with multi-car and loyalty discount

Expected: Combined discount capped

Actual: Both discounts stacked

Critical severity · Fixed and verified

Four case rows selected from the modeled suite; their pass/fail ratio is not the full-suite pass rate.

3 · Technology

Selenium, REST Assured, Postman, TestRail, Jira

Test environment: 4 browsers, 6 OS versions, 18 devices, and a CI/CD pipeline with quality gates.

4 · Outcome

Metric	Before	After
Wrong quotes	3.1%	1%
Claims flow testing	4 days	1 day
Claim processing time	9 days	5 days

5 · How we would approach your project

Premium calculation tests with rule tables
Policy and claims lifecycle end-to-end tests
Document upload and payment integration checks
Regulatory audit-trail verification

Premium and quote calculation rules
Policy and claims lifecycle flows
Regulatory and audit compliance
Document and payment integrations
Fraud and eligibility rules

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Mobile Applications — Fleet tracking app: reliable in the real world

Client QA Case Study — Sample project and results

Logistics company, 2,000 vehicles · 4 months, team of 4

Challenge: Drivers lost location data on weak networks and dispatchers saw outdated statuses.

1 · Test cases

1120 designed; 1120 executed; 1068 passed (95.4%); 460 automation scripts.

ID	Module	Scenario	Type	Priority	Initial result
TC-SYN-011	Sync	Offline trip data syncs after reconnect	Functional	P1	Fail, bug raised
TC-GPS-004	Tracking	Location updates every 10s on 3G	Performance	P1	Pass
TC-ERP-019	Integration	Delivery status pushed to ERP	Integration	P1	Pass
TC-DEV-033	Devices	Low-memory Android 10 no crash	Compatibility	P2	Pass

2 · Bug reports

109 defects reported. Test history: the case table shows an initial test run. The linked defect was then fixed and verified in a later retest; the initial failed result is retained for traceability.

Jira-style issue record: FLT-318 — Trip data lost after losing signal in tunnel

Steps: Run TC-SYN-011: Start trip, enable airplane mode 2 min, restore

Expected: Queued points uploaded

Actual: Points discarded

Critical severity · Fixed and verified

Release notes · v3.6.0

Local queue with retry for location data
New dispatcher status screen
FLT-318 data loss offline
FLT-322 duplicate delivery events
FLT-340 low: map label truncated

Four case rows selected from the modeled suite; their pass/fail ratio is not the full-suite pass rate.

3 · Technology

Appium, Charles Proxy, JMeter, Firebase Test Lab

Test environment: 12 device models across Android and iOS, including weak-network and offline checks.

4 · Outcome

Metric	Before	After
Sync failures	9%	1.8%
Crash-free sessions	94%	99.6%
Late status updates	14%	2%

5 · How we would approach your project

Poor-network and offline-mode testing
Real-device lab across Android and iOS
Integration tests for GPS, telematics and ERP
Load tests for real-time updates

Real-device and OS version coverage
Poor network and offline behavior
Battery, memory and performance
App store release and update flows
Push notifications, permissions and deep links

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SaaS — Project tool: regression cut from 3 days to 4 hours

Client QA Case Study — Sample project and results

SaaS company, 100K users · 5 months, team of 2

Challenge: Slow manual regression blocked weekly releases.

1 · Test cases

1620 designed; 1620 executed; 1563 passed (96.5%); 1264 automation scripts.

ID	Module	Scenario	Type	Priority	Initial result
SAA-TC-10	Tenancy	Multi-tenant data isolation	Security	P1	Pass
SAA-TC-17	API	API and integration contract testing	API	P1	Fail, bug raised
SAA-TC-24	CI/CD	Automated regression in CI/CD	Regression	P1	Pass
SAA-TC-31	Billing	Subscription, billing and permissions	Functional	P1	Pass

2 · Bug reports

98 defects reported. Test history: the case table shows an initial test run. The linked defect was then fixed and verified in a later retest; the initial failed result is retained for traceability.

Jira-style issue record: SAA-100 — Critical defect found in: api and integration contract testing

Steps: Run SAA-TC-17 with a standard user flow

Expected: Result matches the requirement

Actual: Behavior deviates from the requirement

Critical severity · Fixed and verified

Four case rows selected from the modeled suite; their pass/fail ratio is not the full-suite pass rate.

3 · Technology

Playwright, Jest, GitHub Actions, Allure

Test environment: 4 browsers, 6 OS versions, 18 devices, and a CI/CD pipeline with quality gates.

4 · Outcome

Metric	Before	After
Production defects / quarter	8	3
Regression time	3 days	4 hours
Automation coverage	15%	78%

5 · How we would approach your project

Multi-tenant data isolation
API and integration contract testing
Automated regression in CI/CD
Subscription, billing and permissions

Multi-tenant data isolation
API and integration contract testing
Automated regression in CI/CD
Subscription, billing and permissions
Upgrade and migration safety

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Fintech — Neobank app: secure onboarding and KYC

Client QA Case Study — Sample project and results

Fintech company, 150K users · 4 months, team of 4

Challenge: Drop-offs and failed identity checks at signup.

1 · Test cases

1090 designed; 1090 executed; 1052 passed (96.5%); 665 automation scripts.

ID	Module	Scenario	Type	Priority	Initial result
FIN-TC-10	Card data	PCI-DSS compliance and secure card data handling	Security	P1	Pass
FIN-TC-17	Transactions	Transaction integrity, rounding and reconciliation	Functional	P1	Fail, bug raised
FIN-TC-24	Authentication	Fraud, auth and session security (penetration testing)	Security	P1	Pass
FIN-TC-31	Payments	Concurrency and idempotency of payments	API	P1	Pass

2 · Bug reports

88 defects reported. Test history: the case table shows an initial test run. The linked defect was then fixed and verified in a later retest; the initial failed result is retained for traceability.

Jira-style issue record: FIN-110 — Critical defect found in: transaction integrity, rounding and reconciliation

Steps: Run FIN-TC-17 with a standard user flow

Expected: Result matches the requirement

Actual: Behavior deviates from the requirement

Critical severity · Fixed and verified

Four case rows selected from the modeled suite; their pass/fail ratio is not the full-suite pass rate.

3 · Technology

Postman, REST Assured, Selenium, OWASP ZAP, Jenkins

Test environment: 4 browsers, 6 OS versions, 18 devices, and a CI/CD pipeline with quality gates.

4 · Outcome

Metric	Before	After
Production defects / quarter	6	2
Regression time	5 days	1 day
Automation coverage	15%	61%

5 · How we would approach your project

PCI-DSS compliance and secure card data handling
Transaction integrity, rounding and reconciliation
Fraud, auth and session security (penetration testing)
Concurrency and idempotency of payments

PCI-DSS compliance and secure card data handling
Transaction integrity, rounding and reconciliation
Fraud, auth and session security (penetration testing)
Concurrency and idempotency of payments
Third-party API and bank integration

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Healthcare — EHR integration: HL7 and FHIR verified

Client QA Case Study — Sample project and results

Healthcare company, 150K users · 5 months, team of 2

Challenge: Lab results mismatched between systems.

1 · Test cases

1180 designed; 1180 executed; 1139 passed (96.5%); 696 automation scripts.

ID	Module	Scenario	Type	Priority	Initial result
HEA-TC-10	Privacy	HIPAA / GDPR privacy and audit trails	Compliance	P1	Pass
HEA-TC-17	Interoperability	HL7 / FHIR and EHR integration accuracy	Integration	P1	Fail, bug raised
HEA-TC-24	Access	Role-based access control	Security	P1	Pass
HEA-TC-31	Accessibility	Accessibility (WCAG 2.1 AA)	Accessibility	P1	Pass

2 · Bug reports

94 defects reported. Test history: the case table shows an initial test run. The linked defect was then fixed and verified in a later retest; the initial failed result is retained for traceability.

Jira-style issue record: HEA-110 — Critical defect found in: hl7 / fhir and ehr integration accuracy

Steps: Run HEA-TC-17 with a standard user flow

Expected: Result matches the requirement

Actual: Behavior deviates from the requirement

Critical severity · Fixed and verified

Four case rows selected from the modeled suite; their pass/fail ratio is not the full-suite pass rate.

3 · Technology

Cypress, JMeter, Axe, SoapUI, TestRail

Test environment: 4 browsers, 6 OS versions, 18 devices, and a CI/CD pipeline with quality gates.

4 · Outcome

Metric	Before	After
Production defects / quarter	6	2
Regression time	3 days	1 day
Automation coverage	15%	59%

5 · How we would approach your project

HIPAA / GDPR privacy and audit trails
HL7 / FHIR and EHR integration accuracy
Role-based access control
Accessibility (WCAG 2.1 AA)

HIPAA / GDPR privacy and audit trails
HL7 / FHIR and EHR integration accuracy
Role-based access control
Accessibility (WCAG 2.1 AA)
Data integrity and backup/restore

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EdTech — Exam platform: 20K simultaneous test takers

Client QA Case Study — Sample project and results

EdTech company, 450K users · 4 months, team of 2

Challenge: Exam servers slowed under load.

1 · Test cases

1240 designed; 1240 executed; 1197 passed (96.5%); 843 automation scripts.

ID	Module	Scenario	Type	Priority	Initial result
EDT-TC-10	Live classes	Peak load during live classes and exams	Performance	P1	Pass
EDT-TC-17	Assessment	Quiz, grading and progress accuracy	Functional	P1	Fail, bug raised
EDT-TC-24	Video	Video streaming across networks and devices	Compatibility	P1	Pass
EDT-TC-31	Accessibility and privacy	Accessibility and student data privacy (FERPA, COPPA)	Compliance	P1	Pass

2 · Bug reports

91 defects reported. Test history: the case table shows an initial test run. The linked defect was then fixed and verified in a later retest; the initial failed result is retained for traceability.

Jira-style issue record: EDT-170 — Critical defect found in: quiz, grading and progress accuracy

Steps: Run EDT-TC-17 with a standard user flow

Expected: Result matches the requirement

Actual: Behavior deviates from the requirement

Critical severity · Fixed and verified

Four case rows selected from the modeled suite; their pass/fail ratio is not the full-suite pass rate.

3 · Technology

k6, Cypress, Axe, BrowserStack, Jira

Test environment: 4 browsers, 6 OS versions, 18 devices, and a CI/CD pipeline with quality gates.

4 · Outcome

Metric	Before	After
Production defects / quarter	5	2
Regression time	3 days	1 day
Automation coverage	15%	68%

5 · How we would approach your project

Peak load during live classes and exams
Quiz, grading and progress accuracy
Video streaming across networks and devices
Accessibility and student data privacy (FERPA, COPPA)

Peak load during live classes and exams
Quiz, grading and progress accuracy
Video streaming across networks and devices
Accessibility and student data privacy (FERPA, COPPA)
LMS and third-party tool integration (LTI)

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E-commerce — Marketplace: multi-vendor checkout verified

Client QA Case Study — Sample project and results

E-commerce company, 100K users · 6 months, team of 4

Challenge: Split payments and payouts failed.

1 · Test cases

1710 designed; 1710 executed; 1650 passed (96.5%); 1231 automation scripts.

ID	Module	Scenario	Type	Priority	Initial result
ECO-TC-10	Checkout	Checkout, cart, coupons and tax logic	Functional	P1	Pass
ECO-TC-17	Load	Peak-load and stress testing	Performance	P1	Fail, bug raised
ECO-TC-24	Payments	Payment gateway and fraud checks	Integration	P1	Pass
ECO-TC-31	Devices	Cross-browser and mobile device matrix	Compatibility	P1	Pass

2 · Bug reports

121 defects reported. Test history: the case table shows an initial test run. The linked defect was then fixed and verified in a later retest; the initial failed result is retained for traceability.

Jira-style issue record: ECO-100 — Critical defect found in: peak-load and stress testing

Steps: Run ECO-TC-17 with a standard user flow

Expected: Result matches the requirement

Actual: Behavior deviates from the requirement

Critical severity · Fixed and verified

Four case rows selected from the modeled suite; their pass/fail ratio is not the full-suite pass rate.

3 · Technology

k6, Playwright, BrowserStack, Grafana

Test environment: 4 browsers, 6 OS versions, 18 devices, and a CI/CD pipeline with quality gates.

4 · Outcome

Metric	Before	After
Production defects / quarter	8	3
Regression time	5 days	1 day
Automation coverage	15%	72%

5 · How we would approach your project

Checkout, cart, coupons and tax logic
Peak-load and stress testing
Payment gateway and fraud checks
Cross-browser and mobile device matrix

Checkout, cart, coupons and tax logic
Peak-load and stress testing
Payment gateway and fraud checks
Cross-browser and mobile device matrix
SEO, speed and Core Web Vitals

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CRM — Real estate CRM: lead routing 100% accurate

Client QA Case Study — Sample project and results

CRM company, 400K users · 3 months, team of 4

Challenge: Leads assigned to the wrong agent.

1 · Test cases

870 designed; 870 executed; 840 passed (96.6%); 539 automation scripts.

ID	Module	Scenario	Type	Priority	Initial result
CRM-TC-10	Data migration	Data migration and deduplication accuracy	Data	P1	Pass
CRM-TC-17	Workflow	Workflow, automation and lead-routing rules	Functional	P1	Fail, bug raised
CRM-TC-24	Integrations	Email, calendar and telephony integrations	Integration	P1	Pass
CRM-TC-31	Access	Role-based access and data visibility	Security	P1	Pass

2 · Bug reports

64 defects reported. Test history: the case table shows an initial test run. The linked defect was then fixed and verified in a later retest; the initial failed result is retained for traceability.

Jira-style issue record: CRM-160 — Critical defect found in: workflow, automation and lead-routing rules

Steps: Run CRM-TC-17 with a standard user flow

Expected: Result matches the requirement

Actual: Behavior deviates from the requirement

Critical severity · Fixed and verified

Four case rows selected from the modeled suite; their pass/fail ratio is not the full-suite pass rate.

3 · Technology

Postman, Playwright, Talend Data Quality, JMeter, Jira

Test environment: 4 browsers, 6 OS versions, 18 devices, and a CI/CD pipeline with quality gates.

4 · Outcome

Metric	Before	After
Production defects / quarter	3	1
Regression time	5 days	1 day
Automation coverage	15%	62%

5 · How we would approach your project

Data migration and deduplication accuracy
Workflow, automation and lead-routing rules
Email, calendar and telephony integrations
Role-based access and data visibility

Data migration and deduplication accuracy
Workflow, automation and lead-routing rules
Email, calendar and telephony integrations
Role-based access and data visibility
Reporting and dashboard correctness

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ERP — Retail ERP: inventory synced across 120 stores

Client QA Case Study — Sample project and results

ERP company, 150K users · 6 months, team of 2

Challenge: Stock counts differed per location.

1 · Test cases

1540 designed; 1540 executed; 1486 passed (96.5%); 1063 automation scripts.

ID	Module	Scenario	Type	Priority	Initial result
ERP-TC-10	Business flows	End-to-end business flows (order to cash, procure to pay)	E2E	P1	Pass
ERP-TC-17	Finance	Financial calculation and ledger accuracy	Functional	P1	Fail, bug raised
ERP-TC-24	Integration	Multi-module integration and data migration	Integration	P1	Pass
ERP-TC-31	Access	Role, approval and segregation-of-duties checks	Security	P1	Pass

2 · Bug reports

102 defects reported. Test history: the case table shows an initial test run. The linked defect was then fixed and verified in a later retest; the initial failed result is retained for traceability.

Jira-style issue record: ERP-110 — Critical defect found in: financial calculation and ledger accuracy

Steps: Run ERP-TC-17 with a standard user flow

Expected: Result matches the requirement

Actual: Behavior deviates from the requirement

Critical severity · Fixed and verified

Four case rows selected from the modeled suite; their pass/fail ratio is not the full-suite pass rate.

3 · Technology

Tricentis Tosca, SoapUI, JMeter, TestRail, Jira

Test environment: 4 browsers, 6 OS versions, 18 devices, and a CI/CD pipeline with quality gates.

4 · Outcome

Metric	Before	After
Production defects / quarter	5	2
Regression time	3 days	1 day
Automation coverage	15%	69%

5 · How we would approach your project

End-to-end business flows (order to cash, procure to pay)
Financial calculation and ledger accuracy
Multi-module integration and data migration
Role, approval and segregation-of-duties checks

End-to-end business flows (order to cash, procure to pay)
Financial calculation and ledger accuracy
Multi-module integration and data migration
Role, approval and segregation-of-duties checks
UAT support and month-end load

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AI/ML — Fraud model: 18% fewer false positives

Client QA Case Study — Sample project and results

AI/ML company, 300K users · 3 months, team of 2

Challenge: Legitimate customers blocked by the model.

1 · Test cases

760 designed; 760 executed; 733 passed (96.4%); 547 automation scripts.

ID	Module	Scenario	Type	Priority	Initial result
AIM-TC-10	Model	Model accuracy, precision and recall against test sets	Evaluation	P1	Pass
AIM-TC-17	Fairness	Bias and fairness testing	Bias	P1	Fail, bug raised
AIM-TC-24	Data	Data quality and drift monitoring	Monitoring	P1	Pass
AIM-TC-31	Safety	Hallucination, prompt-injection and safety tests	Security	P1	Pass

2 · Bug reports

54 defects reported. Test history: the case table shows an initial test run. The linked defect was then fixed and verified in a later retest; the initial failed result is retained for traceability.

Jira-style issue record: AIM-140 — Critical defect found in: bias and fairness testing

Steps: Run AIM-TC-17 with a standard user flow

Expected: Result matches the requirement

Actual: Behavior deviates from the requirement

Critical severity · Fixed and verified

Four case rows selected from the modeled suite; their pass/fail ratio is not the full-suite pass rate.

3 · Technology

Python, pytest, Great Expectations, MLflow, Evidently, Jira

Test environment: 4 browsers, 6 OS versions, 18 devices, and a CI/CD pipeline with quality gates.

4 · Outcome

Metric	Before	After
Production defects / quarter	3	1
Regression time	3 days	1 day
Automation coverage	15%	72%

5 · How we would approach your project

Model accuracy, precision and recall against test sets
Bias and fairness testing
Data quality and drift monitoring
Hallucination, prompt-injection and safety tests

Model accuracy, precision and recall against test sets
Bias and fairness testing
Data quality and drift monitoring
Hallucination, prompt-injection and safety tests
Latency and cost under load

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AI & LLM Testing — RAG knowledge assistant: grounded answers

Client QA Case Study — Sample project and results

AI & LLM Testing company, 500K users · 4 months, team of 2

Challenge: Answers were not backed by documents.

1 · Test cases

980 designed; 980 executed; 946 passed (96.5%); 706 automation scripts.

ID	Module	Scenario	Type	Priority	Initial result
AIL-TC-11	RAG	Hallucination and groundedness (RAG) evaluation	Evaluation	P1	Pass
AIL-TC-18	Security	Prompt-injection, jailbreak and data-leak red teaming	Security	P1	Fail, bug raised
AIL-TC-25	Prompts	Prompt and model-upgrade regression suites	Regression	P1	Pass
AIL-TC-32	Safety	Bias, toxicity and safety evaluation	Evaluation	P1	Pass

2 · Bug reports

71 defects reported. Test history: the case table shows an initial test run. The linked defect was then fixed and verified in a later retest; the initial failed result is retained for traceability.

Jira-style issue record: AIL-180 — Critical defect found in: prompt-injection, jailbreak and data-leak red teaming

Steps: Run AIL-TC-18 with a standard user flow

Expected: Result matches the requirement

Actual: Behavior deviates from the requirement

Critical severity · Fixed and verified

Four case rows selected from the modeled suite; their pass/fail ratio is not the full-suite pass rate.

3 · Technology

Python, promptfoo, DeepEval, Ragas, LangSmith, Jira

Test environment: 4 browsers, 6 OS versions, 18 devices, and a CI/CD pipeline with quality gates.

4 · Outcome

Metric	Before	After
Production defects / quarter	3	1
Regression time	3 days	1 day
Automation coverage	15%	72%

5 · How we would approach your project

Hallucination and groundedness (RAG) evaluation
Prompt-injection, jailbreak and data-leak red teaming
Prompt and model-upgrade regression suites
Bias, toxicity and safety evaluation

Hallucination and groundedness (RAG) evaluation
Prompt-injection, jailbreak and data-leak red teaming
Prompt and model-upgrade regression suites
Bias, toxicity and safety evaluation
Latency, cost and token usage under load

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Blockchain/Crypto — NFT marketplace: minting and royalties verified

Client QA Case Study — Sample project and results

Blockchain/Crypto company, 100K users · 3 months, team of 2

Challenge: Royalties not paid on resale.

1 · Test cases

720 designed; 720 executed; 695 passed (96.5%); 403 automation scripts.

ID	Module	Scenario	Type	Priority	Initial result
BLO-TC-10	Contracts	Smart contract logic and security audit support	Security	P1	Pass
BLO-TC-17	Transactions	Transaction, gas and wallet flow testing	Functional	P1	Fail, bug raised
BLO-TC-24	Contract security	Reentrancy, overflow and access-control checks	Security	P1	Pass
BLO-TC-31	Network	Node, network and consensus behavior	Integration	P1	Pass

2 · Bug reports

49 defects reported. Test history: the case table shows an initial test run. The linked defect was then fixed and verified in a later retest; the initial failed result is retained for traceability.

Jira-style issue record: BLO-100 — Critical defect found in: transaction, gas and wallet flow testing

Steps: Run BLO-TC-17 with a standard user flow

Expected: Result matches the requirement

Actual: Behavior deviates from the requirement

Critical severity · Fixed and verified

Four case rows selected from the modeled suite; their pass/fail ratio is not the full-suite pass rate.

3 · Technology

Hardhat, Foundry, Slither, MythX, Postman, Jira

Test environment: 4 browsers, 6 OS versions, 18 devices, and a CI/CD pipeline with quality gates.

4 · Outcome

Metric	Before	After
Production defects / quarter	3	1
Regression time	3 days	1 day
Automation coverage	15%	56%

5 · How we would approach your project

Smart contract logic and security audit support
Transaction, gas and wallet flow testing
Reentrancy, overflow and access-control checks
Node, network and consensus behavior

Smart contract logic and security audit support
Transaction, gas and wallet flow testing
Reentrancy, overflow and access-control checks
Node, network and consensus behavior
Exchange and third-party API integration

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GovTech — Tax portal: filing season load of 80K users

Client QA Case Study — Sample project and results

GovTech company, 150K users · 6 months, team of 2

Challenge: Portal crashed on the filing deadline.

1 · Test cases

1360 designed; 1360 executed; 1312 passed (96.5%); 911 automation scripts.

ID	Module	Scenario	Type	Priority	Initial result
GOV-TC-10	Accessibility	Accessibility (WCAG 2.1 AA, Section 508)	Accessibility	P1	Pass
GOV-TC-17	Security	Security and data-protection compliance	Security	P1	Fail, bug raised
GOV-TC-24	Load	Citizen-scale load testing	Performance	P1	Pass
GOV-TC-31	Locales	Multi-language and low-bandwidth support	Compatibility	P1	Pass

2 · Bug reports

98 defects reported. Test history: the case table shows an initial test run. The linked defect was then fixed and verified in a later retest; the initial failed result is retained for traceability.

Jira-style issue record: GOV-110 — Critical defect found in: security and data-protection compliance

Steps: Run GOV-TC-17 with a standard user flow

Expected: Result matches the requirement

Actual: Behavior deviates from the requirement

Critical severity · Fixed and verified

Four case rows selected from the modeled suite; their pass/fail ratio is not the full-suite pass rate.

3 · Technology

JMeter, Axe, OWASP ZAP, Selenium, Jira

Test environment: 4 browsers, 6 OS versions, 18 devices, and a CI/CD pipeline with quality gates.

4 · Outcome

Metric	Before	After
Production defects / quarter	5	2
Regression time	3 days	1 day
Automation coverage	15%	67%

5 · How we would approach your project

Accessibility (WCAG 2.1 AA, Section 508)
Security and data-protection compliance
Citizen-scale load testing
Multi-language and low-bandwidth support

Accessibility (WCAG 2.1 AA, Section 508)
Security and data-protection compliance
Citizen-scale load testing
Multi-language and low-bandwidth support
Legacy system integration

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HRTech — Recruiting ATS: resume parsing accuracy

Client QA Case Study — Sample project and results

HRTech company, 150K users · 4 months, team of 4

Challenge: Candidates parsed with missing data.

1 · Test cases

910 designed; 910 executed; 878 passed (96.5%); 573 automation scripts.

ID	Module	Scenario	Type	Priority	Initial result
HRT-TC-10	Payroll	Payroll, tax and benefit calculation accuracy	Functional	P1	Pass
HRT-TC-17	Country rules	Country and region rule coverage	Functional	P1	Fail, bug raised
HRT-TC-24	Privacy	Sensitive employee data privacy and access	Security	P1	Pass
HRT-TC-31	Workflow	Approval workflows and leave logic	Functional	P1	Pass

2 · Bug reports

70 defects reported. Test history: the case table shows an initial test run. The linked defect was then fixed and verified in a later retest; the initial failed result is retained for traceability.

Jira-style issue record: HRT-110 — Critical defect found in: country and region rule coverage

Steps: Run HRT-TC-17 with a standard user flow

Expected: Result matches the requirement

Actual: Behavior deviates from the requirement

Critical severity · Fixed and verified

Four case rows selected from the modeled suite; their pass/fail ratio is not the full-suite pass rate.

3 · Technology

Cypress, REST Assured, Postman, TestRail, Jira

Test environment: 4 browsers, 6 OS versions, 18 devices, and a CI/CD pipeline with quality gates.

4 · Outcome

Metric	Before	After
Production defects / quarter	5	2
Regression time	5 days	1 day
Automation coverage	15%	63%

5 · How we would approach your project

Payroll, tax and benefit calculation accuracy
Country and region rule coverage
Sensitive employee data privacy and access
Approval workflows and leave logic

Payroll, tax and benefit calculation accuracy
Country and region rule coverage
Sensitive employee data privacy and access
Approval workflows and leave logic
ATS, payroll and SSO integrations

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InsurTech — Health claims: auto-adjudication verified

Client QA Case Study — Sample project and results

InsurTech company, 400K users · 6 months, team of 4

Challenge: Valid claims sent to manual review.

1 · Test cases

1410 designed; 1410 executed; 1361 passed (96.5%); 959 automation scripts.

ID	Module	Scenario	Type	Priority	Initial result
INS-TC-10	Quotes	Premium and quote calculation rules	Functional	P1	Pass
INS-TC-17	Policy and claims	Policy and claims lifecycle flows	E2E	P1	Fail, bug raised
INS-TC-24	Audit	Regulatory and audit compliance	Compliance	P1	Pass
INS-TC-31	Documents and payments	Document and payment integrations	Integration	P1	Pass

2 · Bug reports

101 defects reported. Test history: the case table shows an initial test run. The linked defect was then fixed and verified in a later retest; the initial failed result is retained for traceability.

Jira-style issue record: INS-160 — Critical defect found in: policy and claims lifecycle flows

Steps: Run INS-TC-17 with a standard user flow

Expected: Result matches the requirement

Actual: Behavior deviates from the requirement

Critical severity · Fixed and verified

Four case rows selected from the modeled suite; their pass/fail ratio is not the full-suite pass rate.

3 · Technology

Selenium, REST Assured, Postman, TestRail, Jira

Test environment: 4 browsers, 6 OS versions, 18 devices, and a CI/CD pipeline with quality gates.

4 · Outcome

Metric	Before	After
Production defects / quarter	5	2
Regression time	5 days	1 day
Automation coverage	15%	68%

5 · How we would approach your project

Premium and quote calculation rules
Policy and claims lifecycle flows
Regulatory and audit compliance
Document and payment integrations

Premium and quote calculation rules
Policy and claims lifecycle flows
Regulatory and audit compliance
Document and payment integrations
Fraud and eligibility rules

6 · Book a free 30-minute call

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Mobile Applications — Food delivery app: 40 devices, zero crashes

Client QA Case Study — Sample project and results

Mobile Applications company, 250K users · 4 months, team of 4

Challenge: Crashes on older Android models.

1 · Test cases

1290 designed; 1290 executed; 1245 passed (96.5%); 942 automation scripts.

ID	Module	Scenario	Type	Priority	Initial result
MOB-TC-10	Devices	Real-device and OS version coverage	Compatibility	P1	Pass
MOB-TC-17	Offline sync	Poor network and offline behavior	Functional	P1	Fail, bug raised
MOB-TC-24	Resources	Battery, memory and performance	Performance	P1	Pass
MOB-TC-31	Release	App store release and update flows	Compatibility	P1	Pass

2 · Bug reports

92 defects reported. Test history: the case table shows an initial test run. The linked defect was then fixed and verified in a later retest; the initial failed result is retained for traceability.

Jira-style issue record: MOB-130 — Critical defect found in: poor network and offline behavior

Steps: Run MOB-TC-17 with a standard user flow

Expected: Result matches the requirement

Actual: Behavior deviates from the requirement

Critical severity · Fixed and verified

Four case rows selected from the modeled suite; their pass/fail ratio is not the full-suite pass rate.

3 · Technology

Appium, Charles Proxy, JMeter, Firebase Test Lab

Test environment: 40 device models, including older Android versions, with crash and compatibility checks.

4 · Outcome

Metric	Before	After
Production defects / quarter	5	2
Regression time	5 days	1 day
Automation coverage	15%	73%

5 · How we would approach your project

Real-device and OS version coverage
Poor network and offline behavior
Battery, memory and performance
App store release and update flows

Real-device and OS version coverage
Poor network and offline behavior
Battery, memory and performance
App store release and update flows
Push notifications, permissions and deep links

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SaaS — Billing engine: no more invoice errors

Client QA Case Study — Sample project and results

SaaS company, 300K users · 3 months, team of 2

Challenge: Proration bugs caused wrong invoices.

1 · Test cases

940 designed; 940 executed; 907 passed (96.5%); 602 automation scripts.

ID	Module	Scenario	Type	Priority	Initial result
SAA-TC-11	Tenancy	Multi-tenant data isolation	Security	P1	Pass
SAA-TC-18	API	API and integration contract testing	API	P1	Fail, bug raised
SAA-TC-25	CI/CD	Automated regression in CI/CD	Regression	P1	Pass
SAA-TC-32	Billing	Subscription, billing and permissions	Functional	P1	Pass

2 · Bug reports

71 defects reported. Test history: the case table shows an initial test run. The linked defect was then fixed and verified in a later retest; the initial failed result is retained for traceability.

Jira-style issue record: SAA-140 — Critical defect found in: api and integration contract testing

Steps: Run SAA-TC-18 with a standard user flow

Expected: Result matches the requirement

Actual: Behavior deviates from the requirement

Critical severity · Fixed and verified

Four case rows selected from the modeled suite; their pass/fail ratio is not the full-suite pass rate.

3 · Technology

Playwright, Jest, GitHub Actions, Allure

Test environment: 4 browsers, 6 OS versions, 18 devices, and a CI/CD pipeline with quality gates.

4 · Outcome

Metric	Before	After
Production defects / quarter	5	2
Regression time	3 days	1 day
Automation coverage	15%	64%

5 · How we would approach your project

Multi-tenant data isolation
API and integration contract testing
Automated regression in CI/CD
Subscription, billing and permissions

Multi-tenant data isolation
API and integration contract testing
Automated regression in CI/CD
Subscription, billing and permissions
Upgrade and migration safety

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Fintech — Lending platform: accurate loan calculations

Client QA Case Study — Sample project and results

Fintech company, 350K users · 5 months, team of 4

Challenge: Interest and repayment schedule errors.

1 · Test cases

1310 designed; 1310 executed; 1264 passed (96.5%); 917 automation scripts.

ID	Module	Scenario	Type	Priority	Initial result
FIN-TC-11	Card data	PCI-DSS compliance and secure card data handling	Security	P1	Pass
FIN-TC-18	Transactions	Transaction integrity, rounding and reconciliation	Functional	P1	Fail, bug raised
FIN-TC-25	Authentication	Fraud, auth and session security (penetration testing)	Security	P1	Pass
FIN-TC-32	Payments	Concurrency and idempotency of payments	API	P1	Pass

2 · Bug reports

96 defects reported. Test history: the case table shows an initial test run. The linked defect was then fixed and verified in a later retest; the initial failed result is retained for traceability.

Jira-style issue record: FIN-150 — Critical defect found in: transaction integrity, rounding and reconciliation

Steps: Run FIN-TC-18 with a standard user flow

Expected: Result matches the requirement

Actual: Behavior deviates from the requirement

Critical severity · Fixed and verified

Four case rows selected from the modeled suite; their pass/fail ratio is not the full-suite pass rate.

3 · Technology

Postman, REST Assured, Selenium, OWASP ZAP, Jenkins

Test environment: 4 browsers, 6 OS versions, 18 devices, and a CI/CD pipeline with quality gates.

4 · Outcome

Metric	Before	After
Production defects / quarter	8	3
Regression time	5 days	1 day
Automation coverage	15%	70%

5 · How we would approach your project

PCI-DSS compliance and secure card data handling
Transaction integrity, rounding and reconciliation
Fraud, auth and session security (penetration testing)
Concurrency and idempotency of payments

PCI-DSS compliance and secure card data handling
Transaction integrity, rounding and reconciliation
Fraud, auth and session security (penetration testing)
Concurrency and idempotency of payments
Third-party API and bank integration

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Healthcare — Telemedicine app: reliable video visits

Client QA Case Study — Sample project and results

Healthcare company, 350K users · 3 months, team of 2

Challenge: Calls dropped on weak connections.

1 · Test cases

860 designed; 860 executed; 830 passed (96.5%); 542 automation scripts.

ID	Module	Scenario	Type	Priority	Initial result
HEA-TC-11	Privacy	HIPAA / GDPR privacy and audit trails	Compliance	P1	Pass
HEA-TC-18	Interoperability	HL7 / FHIR and EHR integration accuracy	Integration	P1	Fail, bug raised
HEA-TC-25	Access	Role-based access control	Security	P1	Pass
HEA-TC-32	Accessibility	Accessibility (WCAG 2.1 AA)	Accessibility	P1	Pass

2 · Bug reports

69 defects reported. Test history: the case table shows an initial test run. The linked defect was then fixed and verified in a later retest; the initial failed result is retained for traceability.

Jira-style issue record: HEA-150 — Critical defect found in: hl7 / fhir and ehr integration accuracy

Steps: Run HEA-TC-18 with a standard user flow

Expected: Result matches the requirement

Actual: Behavior deviates from the requirement

Critical severity · Fixed and verified

Four case rows selected from the modeled suite; their pass/fail ratio is not the full-suite pass rate.

3 · Technology

Cypress, JMeter, Axe, SoapUI, TestRail

Test environment: 4 browsers, 6 OS versions, 18 devices, and a CI/CD pipeline with quality gates.

4 · Outcome

Metric	Before	After
Production defects / quarter	3	1
Regression time	3 days	1 day
Automation coverage	15%	63%

5 · How we would approach your project

HIPAA / GDPR privacy and audit trails
HL7 / FHIR and EHR integration accuracy
Role-based access control
Accessibility (WCAG 2.1 AA)

HIPAA / GDPR privacy and audit trails
HL7 / FHIR and EHR integration accuracy
Role-based access control
Accessibility (WCAG 2.1 AA)
Data integrity and backup/restore

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EdTech — Language app: offline lessons that sync

Client QA Case Study — Sample project and results

EdTech company, 400K users · 3 months, team of 2

Challenge: Progress lost when learners went offline.

1 · Test cases

780 designed; 780 executed; 753 passed (96.5%); 468 automation scripts.

ID	Module	Scenario	Type	Priority	Initial result
EDT-TC-11	Live classes	Peak load during live classes and exams	Performance	P1	Pass
EDT-TC-18	Assessment	Quiz, grading and progress accuracy	Functional	P1	Fail, bug raised
EDT-TC-25	Video	Video streaming across networks and devices	Compatibility	P1	Pass
EDT-TC-32	Accessibility and privacy	Accessibility and student data privacy (FERPA, COPPA)	Compliance	P1	Pass

2 · Bug reports

58 defects reported. Test history: the case table shows an initial test run. The linked defect was then fixed and verified in a later retest; the initial failed result is retained for traceability.

Jira-style issue record: EDT-160 — Critical defect found in: quiz, grading and progress accuracy

Steps: Run EDT-TC-18 with a standard user flow

Expected: Result matches the requirement

Actual: Behavior deviates from the requirement

Critical severity · Fixed and verified

Four case rows selected from the modeled suite; their pass/fail ratio is not the full-suite pass rate.

3 · Technology

k6, Cypress, Axe, BrowserStack, Jira

Test environment: 4 browsers, 6 OS versions, 18 devices, and a CI/CD pipeline with quality gates.

4 · Outcome

Metric	Before	After
Production defects / quarter	3	1
Regression time	3 days	1 day
Automation coverage	15%	60%

5 · How we would approach your project

Peak load during live classes and exams
Quiz, grading and progress accuracy
Video streaming across networks and devices
Accessibility and student data privacy (FERPA, COPPA)

Peak load during live classes and exams
Quiz, grading and progress accuracy
Video streaming across networks and devices
Accessibility and student data privacy (FERPA, COPPA)
LMS and third-party tool integration (LTI)

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E-commerce — Grocery app: delivery slots without double booking

Client QA Case Study — Sample project and results

E-commerce company, 250K users · 3 months, team of 4

Challenge: Same slot sold to multiple customers.

1 · Test cases

930 designed; 930 executed; 897 passed (96.5%); 605 automation scripts.

ID	Module	Scenario	Type	Priority	Initial result
ECO-TC-11	Checkout	Checkout, cart, coupons and tax logic	Functional	P1	Pass
ECO-TC-18	Load	Peak-load and stress testing	Performance	P1	Fail, bug raised
ECO-TC-25	Payments	Payment gateway and fraud checks	Integration	P1	Pass
ECO-TC-32	Devices	Cross-browser and mobile device matrix	Compatibility	P1	Pass

2 · Bug reports

74 defects reported. Test history: the case table shows an initial test run. The linked defect was then fixed and verified in a later retest; the initial failed result is retained for traceability.

Jira-style issue record: ECO-130 — Critical defect found in: peak-load and stress testing

Steps: Run ECO-TC-18 with a standard user flow

Expected: Result matches the requirement

Actual: Behavior deviates from the requirement

Critical severity · Fixed and verified

Four case rows selected from the modeled suite; their pass/fail ratio is not the full-suite pass rate.

3 · Technology

k6, Playwright, BrowserStack, Grafana

Test environment: 4 browsers, 6 OS versions, 18 devices, and a CI/CD pipeline with quality gates.

4 · Outcome

Metric	Before	After
Production defects / quarter	3	1
Regression time	5 days	1 day
Automation coverage	15%	65%

5 · How we would approach your project

Checkout, cart, coupons and tax logic
Peak-load and stress testing
Payment gateway and fraud checks
Cross-browser and mobile device matrix

Checkout, cart, coupons and tax logic
Peak-load and stress testing
Payment gateway and fraud checks
Cross-browser and mobile device matrix
SEO, speed and Core Web Vitals

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CRM — B2B CRM: Salesforce sync tested end to end

Client QA Case Study — Sample project and results

CRM company, 450K users · 5 months, team of 2

Challenge: Contacts out of sync between systems.

1 · Test cases

1240 designed; 1240 executed; 1197 passed (96.5%); 880 automation scripts.

ID	Module	Scenario	Type	Priority	Initial result
CRM-TC-11	Data migration	Data migration and deduplication accuracy	Data	P1	Pass
CRM-TC-18	Workflow	Workflow, automation and lead-routing rules	Functional	P1	Fail, bug raised
CRM-TC-25	Integrations	Email, calendar and telephony integrations	Integration	P1	Pass
CRM-TC-32	Access	Role-based access and data visibility	Security	P1	Pass

2 · Bug reports

87 defects reported. Test history: the case table shows an initial test run. The linked defect was then fixed and verified in a later retest; the initial failed result is retained for traceability.

Jira-style issue record: CRM-170 — Critical defect found in: workflow, automation and lead-routing rules

Steps: Run CRM-TC-18 with a standard user flow

Expected: Result matches the requirement

Actual: Behavior deviates from the requirement

Critical severity · Fixed and verified

Four case rows selected from the modeled suite; their pass/fail ratio is not the full-suite pass rate.

3 · Technology

Postman, Playwright, Talend Data Quality, JMeter, Jira

Test environment: 4 browsers, 6 OS versions, 18 devices, and a CI/CD pipeline with quality gates.

4 · Outcome

Metric	Before	After
Production defects / quarter	5	2
Regression time	3 days	1 day
Automation coverage	15%	71%

5 · How we would approach your project

Data migration and deduplication accuracy
Workflow, automation and lead-routing rules
Email, calendar and telephony integrations
Role-based access and data visibility

Data migration and deduplication accuracy
Workflow, automation and lead-routing rules
Email, calendar and telephony integrations
Role-based access and data visibility
Reporting and dashboard correctness

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ERP — Finance ERP: month-end close in 2 days

Client QA Case Study — Sample project and results

ERP company, 250K users · 5 months, team of 2

Challenge: Reconciliation errors delayed the close.

1 · Test cases

1380 designed; 1380 executed; 1332 passed (96.5%); 883 automation scripts.

ID	Module	Scenario	Type	Priority	Initial result
ERP-TC-11	Business flows	End-to-end business flows (order to cash, procure to pay)	E2E	P1	Pass
ERP-TC-18	Finance	Financial calculation and ledger accuracy	Functional	P1	Fail, bug raised
ERP-TC-25	Integration	Multi-module integration and data migration	Integration	P1	Pass
ERP-TC-32	Access	Role, approval and segregation-of-duties checks	Security	P1	Pass

2 · Bug reports

95 defects reported. Test history: the case table shows an initial test run. The linked defect was then fixed and verified in a later retest; the initial failed result is retained for traceability.

Jira-style issue record: ERP-130 — Critical defect found in: financial calculation and ledger accuracy

Steps: Run ERP-TC-18 with a standard user flow

Expected: Result matches the requirement

Actual: Behavior deviates from the requirement

Critical severity · Fixed and verified

Four case rows selected from the modeled suite; their pass/fail ratio is not the full-suite pass rate.

3 · Technology

Tricentis Tosca, SoapUI, JMeter, TestRail, Jira

Test environment: 4 browsers, 6 OS versions, 18 devices, and a CI/CD pipeline with quality gates.

4 · Outcome

Metric	Before	After
Production defects / quarter	5	2
Regression time	3 days	1 day
Automation coverage	15%	64%

5 · How we would approach your project

End-to-end business flows (order to cash, procure to pay)
Financial calculation and ledger accuracy
Multi-module integration and data migration
Role, approval and segregation-of-duties checks

End-to-end business flows (order to cash, procure to pay)
Financial calculation and ledger accuracy
Multi-module integration and data migration
Role, approval and segregation-of-duties checks
UAT support and month-end load

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AI/ML — Computer vision QA: defect detection accuracy

Client QA Case Study — Sample project and results

AI/ML company, 150K users · 3 months, team of 2

Challenge: Accuracy dropped under new lighting.

1 · Test cases

640 designed; 640 executed; 618 passed (96.6%); 422 automation scripts.

ID	Module	Scenario	Type	Priority	Initial result
AIM-TC-11	Model	Model accuracy, precision and recall against test sets	Evaluation	P1	Pass
AIM-TC-18	Fairness	Bias and fairness testing	Bias	P1	Fail, bug raised
AIM-TC-25	Data	Data quality and drift monitoring	Monitoring	P1	Pass
AIM-TC-32	Safety	Hallucination, prompt-injection and safety tests	Security	P1	Pass

2 · Bug reports

47 defects reported. Test history: the case table shows an initial test run. The linked defect was then fixed and verified in a later retest; the initial failed result is retained for traceability.

Jira-style issue record: AIM-110 — Critical defect found in: bias and fairness testing

Steps: Run AIM-TC-18 with a standard user flow

Expected: Result matches the requirement

Actual: Behavior deviates from the requirement

Critical severity · Fixed and verified

Four case rows selected from the modeled suite; their pass/fail ratio is not the full-suite pass rate.

3 · Technology

Python, pytest, Great Expectations, MLflow, Evidently, Jira

Test environment: 4 browsers, 6 OS versions, 18 devices, and a CI/CD pipeline with quality gates.

4 · Outcome

Metric	Before	After
Production defects / quarter	3	1
Regression time	3 days	1 day
Automation coverage	15%	66%

5 · How we would approach your project

Model accuracy, precision and recall against test sets
Bias and fairness testing
Data quality and drift monitoring
Hallucination, prompt-injection and safety tests

Model accuracy, precision and recall against test sets
Bias and fairness testing
Data quality and drift monitoring
Hallucination, prompt-injection and safety tests
Latency and cost under load

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AI & LLM Testing — LLM copilot: prompt-injection red teaming

Client QA Case Study — Sample project and results

AI & LLM Testing company, 350K users · 3 months, team of 2

Challenge: Users bypassed safety instructions.

1 · Test cases

860 designed; 860 executed; 830 passed (96.5%); 602 automation scripts.

ID	Module	Scenario	Type	Priority	Initial result
AIL-TC-12	RAG	Hallucination and groundedness (RAG) evaluation	Evaluation	P1	Pass
AIL-TC-19	Security	Prompt-injection, jailbreak and data-leak red teaming	Security	P1	Fail, bug raised
AIL-TC-26	Prompts	Prompt and model-upgrade regression suites	Regression	P1	Pass
AIL-TC-33	Safety	Bias, toxicity and safety evaluation	Evaluation	P1	Pass

2 · Bug reports

64 defects reported. Test history: the case table shows an initial test run. The linked defect was then fixed and verified in a later retest; the initial failed result is retained for traceability.

Jira-style issue record: AIL-150 — Critical defect found in: prompt-injection, jailbreak and data-leak red teaming

Steps: Run AIL-TC-19 with a standard user flow

Expected: Result matches the requirement

Actual: Behavior deviates from the requirement

Critical severity · Fixed and verified

Four case rows selected from the modeled suite; their pass/fail ratio is not the full-suite pass rate.

3 · Technology

Python, promptfoo, DeepEval, Ragas, LangSmith, Jira

Test environment: 4 browsers, 6 OS versions, 18 devices, and a CI/CD pipeline with quality gates.

4 · Outcome

Metric	Before	After
Production defects / quarter	3	1
Regression time	3 days	1 day
Automation coverage	15%	70%

5 · How we would approach your project

Hallucination and groundedness (RAG) evaluation
Prompt-injection, jailbreak and data-leak red teaming
Prompt and model-upgrade regression suites
Bias, toxicity and safety evaluation

Hallucination and groundedness (RAG) evaluation
Prompt-injection, jailbreak and data-leak red teaming
Prompt and model-upgrade regression suites
Bias, toxicity and safety evaluation
Latency, cost and token usage under load

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Blockchain/Crypto — Staking platform: reward math audited

Client QA Case Study — Sample project and results

Blockchain/Crypto company, 350K users · 3 months, team of 2

Challenge: Rewards miscalculated in edge cases.

1 · Test cases

680 designed; 680 executed; 656 passed (96.5%); 408 automation scripts.

ID	Module	Scenario	Type	Priority	Initial result
BLO-TC-11	Contracts	Smart contract logic and security audit support	Security	P1	Pass
BLO-TC-18	Transactions	Transaction, gas and wallet flow testing	Functional	P1	Fail, bug raised
BLO-TC-25	Contract security	Reentrancy, overflow and access-control checks	Security	P1	Pass
BLO-TC-32	Network	Node, network and consensus behavior	Integration	P1	Pass

2 · Bug reports

44 defects reported. Test history: the case table shows an initial test run. The linked defect was then fixed and verified in a later retest; the initial failed result is retained for traceability.

Jira-style issue record: BLO-150 — Critical defect found in: transaction, gas and wallet flow testing

Steps: Run BLO-TC-18 with a standard user flow

Expected: Result matches the requirement

Actual: Behavior deviates from the requirement

Critical severity · Fixed and verified

Four case rows selected from the modeled suite; their pass/fail ratio is not the full-suite pass rate.

3 · Technology

Hardhat, Foundry, Slither, MythX, Postman, Jira

Test environment: 4 browsers, 6 OS versions, 18 devices, and a CI/CD pipeline with quality gates.

4 · Outcome

Metric	Before	After
Production defects / quarter	3	1
Regression time	3 days	1 day
Automation coverage	15%	60%

5 · How we would approach your project

Smart contract logic and security audit support
Transaction, gas and wallet flow testing
Reentrancy, overflow and access-control checks
Node, network and consensus behavior

Smart contract logic and security audit support
Transaction, gas and wallet flow testing
Reentrancy, overflow and access-control checks
Node, network and consensus behavior
Exchange and third-party API integration

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GovTech — Digital ID: secure and accessible sign-up

Client QA Case Study — Sample project and results

GovTech company, 250K users · 5 months, team of 2

Challenge: Identity checks failed on older devices.

1 · Test cases

1020 designed; 1020 executed; 984 passed (96.5%); 622 automation scripts.

ID	Module	Scenario	Type	Priority	Initial result
GOV-TC-11	Accessibility	Accessibility (WCAG 2.1 AA, Section 508)	Accessibility	P1	Pass
GOV-TC-18	Security	Security and data-protection compliance	Security	P1	Fail, bug raised
GOV-TC-25	Load	Citizen-scale load testing	Performance	P1	Pass
GOV-TC-32	Locales	Multi-language and low-bandwidth support	Compatibility	P1	Pass

2 · Bug reports

77 defects reported. Test history: the case table shows an initial test run. The linked defect was then fixed and verified in a later retest; the initial failed result is retained for traceability.

Jira-style issue record: GOV-130 — Critical defect found in: security and data-protection compliance

Steps: Run GOV-TC-18 with a standard user flow

Expected: Result matches the requirement

Actual: Behavior deviates from the requirement

Critical severity · Fixed and verified

Four case rows selected from the modeled suite; their pass/fail ratio is not the full-suite pass rate.

3 · Technology

JMeter, Axe, OWASP ZAP, Selenium, Jira

Test environment: 4 browsers, 6 OS versions, 18 devices, and a CI/CD pipeline with quality gates.

4 · Outcome

Metric	Before	After
Production defects / quarter	3	1
Regression time	3 days	1 day
Automation coverage	15%	61%

5 · How we would approach your project

Accessibility (WCAG 2.1 AA, Section 508)
Security and data-protection compliance
Citizen-scale load testing
Multi-language and low-bandwidth support

Accessibility (WCAG 2.1 AA, Section 508)
Security and data-protection compliance
Citizen-scale load testing
Multi-language and low-bandwidth support
Legacy system integration

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HRTech — Time tracking app: geo-fence and offline mode

Client QA Case Study — Sample project and results

HRTech company, 400K users · 3 months, team of 2

Challenge: Check-ins failed with weak GPS.

1 · Test cases

780 designed; 780 executed; 753 passed (96.5%); 468 automation scripts.

ID	Module	Scenario	Type	Priority	Initial result
HRT-TC-11	Payroll	Payroll, tax and benefit calculation accuracy	Functional	P1	Pass
HRT-TC-18	Country rules	Country and region rule coverage	Functional	P1	Fail, bug raised
HRT-TC-25	Privacy	Sensitive employee data privacy and access	Security	P1	Pass
HRT-TC-32	Workflow	Approval workflows and leave logic	Functional	P1	Pass

2 · Bug reports

61 defects reported. Test history: the case table shows an initial test run. The linked defect was then fixed and verified in a later retest; the initial failed result is retained for traceability.

Jira-style issue record: HRT-160 — Critical defect found in: country and region rule coverage

Steps: Run HRT-TC-18 with a standard user flow

Expected: Result matches the requirement

Actual: Behavior deviates from the requirement

Critical severity · Fixed and verified

Four case rows selected from the modeled suite; their pass/fail ratio is not the full-suite pass rate.

3 · Technology

Cypress, REST Assured, Postman, TestRail, Jira

Test environment: 4 browsers, 6 OS versions, 18 devices, and a CI/CD pipeline with quality gates.

4 · Outcome

Metric	Before	After
Production defects / quarter	3	1
Regression time	3 days	1 day
Automation coverage	15%	60%

5 · How we would approach your project

Payroll, tax and benefit calculation accuracy
Country and region rule coverage
Sensitive employee data privacy and access
Approval workflows and leave logic

Payroll, tax and benefit calculation accuracy
Country and region rule coverage
Sensitive employee data privacy and access
Approval workflows and leave logic
ATS, payroll and SSO integrations

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InsurTech — Motor quote engine: 40+ rating rules

Client QA Case Study — Sample project and results

InsurTech company, 150K users · 5 months, team of 2

Challenge: Wrong premiums in edge cases.

1 · Test cases

1180 designed; 1180 executed; 1139 passed (96.5%); 850 automation scripts.

ID	Module	Scenario	Type	Priority	Initial result
INS-TC-11	Quotes	Premium and quote calculation rules	Functional	P1	Pass
INS-TC-18	Policy and claims	Policy and claims lifecycle flows	E2E	P1	Fail, bug raised
INS-TC-25	Audit	Regulatory and audit compliance	Compliance	P1	Pass
INS-TC-32	Documents and payments	Document and payment integrations	Integration	P1	Pass

2 · Bug reports

86 defects reported. Test history: the case table shows an initial test run. The linked defect was then fixed and verified in a later retest; the initial failed result is retained for traceability.

Jira-style issue record: INS-110 — Critical defect found in: policy and claims lifecycle flows

Steps: Run INS-TC-18 with a standard user flow

Expected: Result matches the requirement

Actual: Behavior deviates from the requirement

Critical severity · Fixed and verified

Four case rows selected from the modeled suite; their pass/fail ratio is not the full-suite pass rate.

3 · Technology

Selenium, REST Assured, Postman, TestRail, Jira

Test environment: 4 browsers, 6 OS versions, 18 devices, and a CI/CD pipeline with quality gates.

4 · Outcome

Metric	Before	After
Production defects / quarter	6	2
Regression time	3 days	1 day
Automation coverage	15%	72%

5 · How we would approach your project

Premium and quote calculation rules
Policy and claims lifecycle flows
Regulatory and audit compliance
Document and payment integrations

Premium and quote calculation rules
Policy and claims lifecycle flows
Regulatory and audit compliance
Document and payment integrations
Fraud and eligibility rules

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Mobile Applications — Banking app: biometrics and deep links

Client QA Case Study — Sample project and results

Mobile Applications company, 500K users · 4 months, team of 4

Challenge: Face ID failed after an OS update.

1 · Test cases

1070 designed; 1070 executed; 1033 passed (96.5%); 738 automation scripts.

ID	Module	Scenario	Type	Priority	Initial result
MOB-TC-11	Devices	Real-device and OS version coverage	Compatibility	P1	Pass
MOB-TC-18	Offline sync	Poor network and offline behavior	Functional	P1	Fail, bug raised
MOB-TC-25	Resources	Battery, memory and performance	Performance	P1	Pass
MOB-TC-32	Release	App store release and update flows	Compatibility	P1	Pass

2 · Bug reports

81 defects reported. Test history: the case table shows an initial test run. The linked defect was then fixed and verified in a later retest; the initial failed result is retained for traceability.

Jira-style issue record: MOB-180 — Critical defect found in: poor network and offline behavior

Steps: Run MOB-TC-18 with a standard user flow

Expected: Result matches the requirement

Actual: Behavior deviates from the requirement

Critical severity · Fixed and verified

Four case rows selected from the modeled suite; their pass/fail ratio is not the full-suite pass rate.

3 · Technology

Appium, Charles Proxy, JMeter, Firebase Test Lab

Test environment: 4 browsers, 6 OS versions, 18 devices, and a CI/CD pipeline with quality gates.

4 · Outcome

Metric	Before	After
Production defects / quarter	3	1
Regression time	5 days	1 day
Automation coverage	15%	69%

5 · How we would approach your project

Real-device and OS version coverage
Poor network and offline behavior
Battery, memory and performance
App store release and update flows

Real-device and OS version coverage
Poor network and offline behavior
Battery, memory and performance
App store release and update flows
Push notifications, permissions and deep links

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SaaS — Analytics SaaS: 10x data load verified

Client QA Case Study — Sample project and results

SaaS company, 450K users · 4 months, team of 4

Challenge: Dashboards timed out on large accounts.

1 · Test cases

1150 designed; 1150 executed; 1110 passed (96.5%); 633 automation scripts.

ID	Module	Scenario	Type	Priority	Initial result
SAA-TC-12	Tenancy	Multi-tenant data isolation	Security	P1	Pass
SAA-TC-19	API	API and integration contract testing	API	P1	Fail, bug raised
SAA-TC-26	CI/CD	Automated regression in CI/CD	Regression	P1	Pass
SAA-TC-33	Billing	Subscription, billing and permissions	Functional	P1	Pass

2 · Bug reports

84 defects reported. Test history: the case table shows an initial test run. The linked defect was then fixed and verified in a later retest; the initial failed result is retained for traceability.

Jira-style issue record: SAA-170 — Critical defect found in: api and integration contract testing

Steps: Run SAA-TC-19 with a standard user flow

Expected: Result matches the requirement

Actual: Behavior deviates from the requirement

Critical severity · Fixed and verified

Four case rows selected from the modeled suite; their pass/fail ratio is not the full-suite pass rate.

3 · Technology

Playwright, Jest, GitHub Actions, Allure

Test environment: 4 browsers, 6 OS versions, 18 devices, and a CI/CD pipeline with quality gates.

4 · Outcome

Metric	Before	After
Production defects / quarter	8	3
Regression time	5 days	1 day
Automation coverage	15%	55%

5 · How we would approach your project

Multi-tenant data isolation
API and integration contract testing
Automated regression in CI/CD
Subscription, billing and permissions

Multi-tenant data isolation
API and integration contract testing
Automated regression in CI/CD
Subscription, billing and permissions
Upgrade and migration safety

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Fintech — Trading app: stable under market-open surge

Client QA Case Study — Sample project and results

Fintech company, 400K users · 3 months, team of 4

Challenge: Orders delayed at peak market hours.

1 · Test cases

870 designed; 870 executed; 840 passed (96.6%); 505 automation scripts.

ID	Module	Scenario	Type	Priority	Initial result
FIN-TC-12	Card data	PCI-DSS compliance and secure card data handling	Security	P1	Pass
FIN-TC-19	Transactions	Transaction integrity, rounding and reconciliation	Functional	P1	Fail, bug raised
FIN-TC-26	Authentication	Fraud, auth and session security (penetration testing)	Security	P1	Pass
FIN-TC-33	Payments	Concurrency and idempotency of payments	API	P1	Pass

2 · Bug reports

67 defects reported. Test history: the case table shows an initial test run. The linked defect was then fixed and verified in a later retest; the initial failed result is retained for traceability.

Jira-style issue record: FIN-160 — Critical defect found in: transaction integrity, rounding and reconciliation

Steps: Run FIN-TC-19 with a standard user flow

Expected: Result matches the requirement

Actual: Behavior deviates from the requirement

Critical severity · Fixed and verified

Four case rows selected from the modeled suite; their pass/fail ratio is not the full-suite pass rate.

3 · Technology

Postman, REST Assured, Selenium, OWASP ZAP, Jenkins

Test environment: 4 browsers, 6 OS versions, 18 devices, and a CI/CD pipeline with quality gates.

4 · Outcome

Metric	Before	After
Production defects / quarter	3	1
Regression time	5 days	1 day
Automation coverage	15%	58%

5 · How we would approach your project

PCI-DSS compliance and secure card data handling
Transaction integrity, rounding and reconciliation
Fraud, auth and session security (penetration testing)
Concurrency and idempotency of payments

PCI-DSS compliance and secure card data handling
Transaction integrity, rounding and reconciliation
Fraud, auth and session security (penetration testing)
Concurrency and idempotency of payments
Third-party API and bank integration

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Healthcare — Pharmacy portal: safe prescription workflows

Client QA Case Study — Sample project and results

Healthcare company, 200K users · 4 months, team of 4

Challenge: Dosage validation rules were untested.

1 · Test cases

1010 designed; 1010 executed; 975 passed (96.5%); 576 automation scripts.

ID	Module	Scenario	Type	Priority	Initial result
HEA-TC-12	Privacy	HIPAA / GDPR privacy and audit trails	Compliance	P1	Pass
HEA-TC-19	Interoperability	HL7 / FHIR and EHR integration accuracy	Integration	P1	Fail, bug raised
HEA-TC-26	Access	Role-based access control	Security	P1	Pass
HEA-TC-33	Accessibility	Accessibility (WCAG 2.1 AA)	Accessibility	P1	Pass

2 · Bug reports

83 defects reported. Test history: the case table shows an initial test run. The linked defect was then fixed and verified in a later retest; the initial failed result is retained for traceability.

Jira-style issue record: HEA-120 — Critical defect found in: hl7 / fhir and ehr integration accuracy

Steps: Run HEA-TC-19 with a standard user flow

Expected: Result matches the requirement

Actual: Behavior deviates from the requirement

Critical severity · Fixed and verified

Four case rows selected from the modeled suite; their pass/fail ratio is not the full-suite pass rate.

3 · Technology

Cypress, JMeter, Axe, SoapUI, TestRail

Test environment: 4 browsers, 6 OS versions, 18 devices, and a CI/CD pipeline with quality gates.

4 · Outcome

Metric	Before	After
Production defects / quarter	3	1
Regression time	5 days	1 day
Automation coverage	15%	57%

5 · How we would approach your project

HIPAA / GDPR privacy and audit trails
HL7 / FHIR and EHR integration accuracy
Role-based access control
Accessibility (WCAG 2.1 AA)

HIPAA / GDPR privacy and audit trails
HL7 / FHIR and EHR integration accuracy
Role-based access control
Accessibility (WCAG 2.1 AA)
Data integrity and backup/restore

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EdTech — School ERP: accurate grading and report cards

Client QA Case Study — Sample project and results

EdTech company, 150K users · 4 months, team of 4

Challenge: Wrong grade calculations at term end.

1 · Test cases

1090 designed; 1090 executed; 1052 passed (96.5%); 589 automation scripts.

ID	Module	Scenario	Type	Priority	Initial result
EDT-TC-12	Live classes	Peak load during live classes and exams	Performance	P1	Pass
EDT-TC-19	Assessment	Quiz, grading and progress accuracy	Functional	P1	Fail, bug raised
EDT-TC-26	Video	Video streaming across networks and devices	Compatibility	P1	Pass
EDT-TC-33	Accessibility and privacy	Accessibility and student data privacy (FERPA, COPPA)	Compliance	P1	Pass

2 · Bug reports

79 defects reported. Test history: the case table shows an initial test run. The linked defect was then fixed and verified in a later retest; the initial failed result is retained for traceability.

Jira-style issue record: EDT-110 — Critical defect found in: quiz, grading and progress accuracy

Steps: Run EDT-TC-19 with a standard user flow

Expected: Result matches the requirement

Actual: Behavior deviates from the requirement

Critical severity · Fixed and verified

Four case rows selected from the modeled suite; their pass/fail ratio is not the full-suite pass rate.

3 · Technology

k6, Cypress, Axe, BrowserStack, Jira

Test environment: 4 browsers, 6 OS versions, 18 devices, and a CI/CD pipeline with quality gates.

4 · Outcome

Metric	Before	After
Production defects / quarter	6	2
Regression time	5 days	1 day
Automation coverage	15%	54%

5 · How we would approach your project

Peak load during live classes and exams
Quiz, grading and progress accuracy
Video streaming across networks and devices
Accessibility and student data privacy (FERPA, COPPA)

Peak load during live classes and exams
Quiz, grading and progress accuracy
Video streaming across networks and devices
Accessibility and student data privacy (FERPA, COPPA)
LMS and third-party tool integration (LTI)

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E-commerce — Fashion store: flash sale at 8x traffic

Client QA Case Study — Sample project and results

E-commerce company, 250K users · 3 months, team of 2

Challenge: Site slowed during limited drops.

1 · Test cases

1020 designed; 1020 executed; 984 passed (96.5%); 755 automation scripts.

ID	Module	Scenario	Type	Priority	Initial result
ECO-TC-12	Checkout	Checkout, cart, coupons and tax logic	Functional	P1	Pass
ECO-TC-19	Load	Peak-load and stress testing	Performance	P1	Fail, bug raised
ECO-TC-26	Payments	Payment gateway and fraud checks	Integration	P1	Pass
ECO-TC-33	Devices	Cross-browser and mobile device matrix	Compatibility	P1	Pass

2 · Bug reports

82 defects reported. Test history: the case table shows an initial test run. The linked defect was then fixed and verified in a later retest; the initial failed result is retained for traceability.

Jira-style issue record: ECO-130 — Critical defect found in: peak-load and stress testing

Steps: Run ECO-TC-19 with a standard user flow

Expected: Result matches the requirement

Actual: Behavior deviates from the requirement

Critical severity · Fixed and verified

Four case rows selected from the modeled suite; their pass/fail ratio is not the full-suite pass rate.

3 · Technology

k6, Playwright, BrowserStack, Grafana

Test environment: 4 browsers, 6 OS versions, 18 devices, and a CI/CD pipeline with quality gates.

4 · Outcome

Metric	Before	After
Production defects / quarter	6	2
Regression time	3 days	1 day
Automation coverage	15%	74%

5 · How we would approach your project

Checkout, cart, coupons and tax logic
Peak-load and stress testing
Payment gateway and fraud checks
Cross-browser and mobile device matrix

Checkout, cart, coupons and tax logic
Peak-load and stress testing
Payment gateway and fraud checks
Cross-browser and mobile device matrix
SEO, speed and Core Web Vitals

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CRM — Support CRM: omnichannel inbox reliability

Client QA Case Study — Sample project and results

CRM company, 500K users · 4 months, team of 2

Challenge: Messages duplicated or missing.

1 · Test cases

980 designed; 980 executed; 946 passed (96.5%); 568 automation scripts.

ID	Module	Scenario	Type	Priority	Initial result
CRM-TC-12	Data migration	Data migration and deduplication accuracy	Data	P1	Pass
CRM-TC-19	Workflow	Workflow, automation and lead-routing rules	Functional	P1	Fail, bug raised
CRM-TC-26	Integrations	Email, calendar and telephony integrations	Integration	P1	Pass
CRM-TC-33	Access	Role-based access and data visibility	Security	P1	Pass

2 · Bug reports

72 defects reported. Test history: the case table shows an initial test run. The linked defect was then fixed and verified in a later retest; the initial failed result is retained for traceability.

Jira-style issue record: CRM-180 — Critical defect found in: workflow, automation and lead-routing rules

Steps: Run CRM-TC-19 with a standard user flow

Expected: Result matches the requirement

Actual: Behavior deviates from the requirement

Critical severity · Fixed and verified

Four case rows selected from the modeled suite; their pass/fail ratio is not the full-suite pass rate.

3 · Technology

Postman, Playwright, Talend Data Quality, JMeter, Jira

Test environment: 4 browsers, 6 OS versions, 18 devices, and a CI/CD pipeline with quality gates.

4 · Outcome

Metric	Before	After
Production defects / quarter	5	2
Regression time	3 days	1 day
Automation coverage	15%	58%

5 · How we would approach your project

Data migration and deduplication accuracy
Workflow, automation and lead-routing rules
Email, calendar and telephony integrations
Role-based access and data visibility

Data migration and deduplication accuracy
Workflow, automation and lead-routing rules
Email, calendar and telephony integrations
Role-based access and data visibility
Reporting and dashboard correctness

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ERP — Logistics ERP: warehouse and transport flows

Client QA Case Study — Sample project and results

ERP company, 100K users · 5 months, team of 2

Challenge: Shipment status stuck between modules.

1 · Test cases

1260 designed; 1260 executed; 1216 passed (96.5%); 769 automation scripts.

ID	Module	Scenario	Type	Priority	Initial result
ERP-TC-12	Business flows	End-to-end business flows (order to cash, procure to pay)	E2E	P1	Pass
ERP-TC-19	Finance	Financial calculation and ledger accuracy	Functional	P1	Fail, bug raised
ERP-TC-26	Integration	Multi-module integration and data migration	Integration	P1	Pass
ERP-TC-33	Access	Role, approval and segregation-of-duties checks	Security	P1	Pass

2 · Bug reports

89 defects reported. Test history: the case table shows an initial test run. The linked defect was then fixed and verified in a later retest; the initial failed result is retained for traceability.

Jira-style issue record: ERP-100 — Critical defect found in: financial calculation and ledger accuracy

Steps: Run ERP-TC-19 with a standard user flow

Expected: Result matches the requirement

Actual: Behavior deviates from the requirement

Critical severity · Fixed and verified

Four case rows selected from the modeled suite; their pass/fail ratio is not the full-suite pass rate.

3 · Technology

Tricentis Tosca, SoapUI, JMeter, TestRail, Jira

Test environment: 4 browsers, 6 OS versions, 18 devices, and a CI/CD pipeline with quality gates.

4 · Outcome

Metric	Before	After
Production defects / quarter	8	3
Regression time	3 days	1 day
Automation coverage	15%	61%

5 · How we would approach your project

End-to-end business flows (order to cash, procure to pay)
Financial calculation and ledger accuracy
Multi-module integration and data migration
Role, approval and segregation-of-duties checks

End-to-end business flows (order to cash, procure to pay)
Financial calculation and ledger accuracy
Multi-module integration and data migration
Role, approval and segregation-of-duties checks
UAT support and month-end load

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AI/ML — Demand forecasting: stable under data drift

Client QA Case Study — Sample project and results

AI/ML company, 150K users · 4 months, team of 2

Challenge: Forecast quality fell after new data.

1 · Test cases

820 designed; 820 executed; 791 passed (96.5%); 574 automation scripts.

ID	Module	Scenario	Type	Priority	Initial result
AIM-TC-12	Model	Model accuracy, precision and recall against test sets	Evaluation	P1	Pass
AIM-TC-19	Fairness	Bias and fairness testing	Bias	P1	Fail, bug raised
AIM-TC-26	Data	Data quality and drift monitoring	Monitoring	P1	Pass
AIM-TC-33	Safety	Hallucination, prompt-injection and safety tests	Security	P1	Pass

2 · Bug reports

58 defects reported. Test history: the case table shows an initial test run. The linked defect was then fixed and verified in a later retest; the initial failed result is retained for traceability.

Jira-style issue record: AIM-110 — Critical defect found in: bias and fairness testing

Steps: Run AIM-TC-19 with a standard user flow

Expected: Result matches the requirement

Actual: Behavior deviates from the requirement

Critical severity · Fixed and verified

Four case rows selected from the modeled suite; their pass/fail ratio is not the full-suite pass rate.

3 · Technology

Python, pytest, Great Expectations, MLflow, Evidently, Jira

Test environment: 4 browsers, 6 OS versions, 18 devices, and a CI/CD pipeline with quality gates.

4 · Outcome

Metric	Before	After
Production defects / quarter	3	1
Regression time	3 days	1 day
Automation coverage	15%	70%

5 · How we would approach your project

Model accuracy, precision and recall against test sets
Bias and fairness testing
Data quality and drift monitoring
Hallucination, prompt-injection and safety tests

Model accuracy, precision and recall against test sets
Bias and fairness testing
Data quality and drift monitoring
Hallucination, prompt-injection and safety tests
Latency and cost under load

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AI & LLM Testing — Model upgrade: prompt regression suite

Client QA Case Study — Sample project and results

AI & LLM Testing company, 500K users · 5 months, team of 2

Challenge: New model version broke key prompts.

1 · Test cases

1340 designed; 1340 executed; 1293 passed (96.5%); 1072 automation scripts.

ID	Module	Scenario	Type	Priority	Initial result
AIL-TC-13	RAG	Hallucination and groundedness (RAG) evaluation	Evaluation	P1	Pass
AIL-TC-20	Security	Prompt-injection, jailbreak and data-leak red teaming	Security	P1	Fail, bug raised
AIL-TC-27	Prompts	Prompt and model-upgrade regression suites	Regression	P1	Pass
AIL-TC-34	Safety	Bias, toxicity and safety evaluation	Evaluation	P1	Pass

2 · Bug reports

95 defects reported. Test history: the case table shows an initial test run. The linked defect was then fixed and verified in a later retest; the initial failed result is retained for traceability.

Jira-style issue record: AIL-180 — Critical defect found in: prompt-injection, jailbreak and data-leak red teaming

Steps: Run AIL-TC-20 with a standard user flow

Expected: Result matches the requirement

Actual: Behavior deviates from the requirement

Critical severity · Fixed and verified

Four case rows selected from the modeled suite; their pass/fail ratio is not the full-suite pass rate.

3 · Technology

Python, promptfoo, DeepEval, Ragas, LangSmith, Jira

Test environment: 4 browsers, 6 OS versions, 18 devices, and a CI/CD pipeline with quality gates.

4 · Outcome

Metric	Before	After
Production defects / quarter	5	2
Regression time	3 days	1 day
Automation coverage	15%	80%

5 · How we would approach your project

Hallucination and groundedness (RAG) evaluation
Prompt-injection, jailbreak and data-leak red teaming
Prompt and model-upgrade regression suites
Bias, toxicity and safety evaluation

Hallucination and groundedness (RAG) evaluation
Prompt-injection, jailbreak and data-leak red teaming
Prompt and model-upgrade regression suites
Bias, toxicity and safety evaluation
Latency, cost and token usage under load

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Blockchain/Crypto — Crypto exchange: matching engine under load

Client QA Case Study — Sample project and results

Blockchain/Crypto company, 100K users · 4 months, team of 4

Challenge: Order matching slowed at peak.

1 · Test cases

990 designed; 990 executed; 955 passed (96.5%); 673 automation scripts.

ID	Module	Scenario	Type	Priority	Initial result
BLO-TC-12	Contracts	Smart contract logic and security audit support	Security	P1	Pass
BLO-TC-19	Transactions	Transaction, gas and wallet flow testing	Functional	P1	Fail, bug raised
BLO-TC-26	Contract security	Reentrancy, overflow and access-control checks	Security	P1	Pass
BLO-TC-33	Network	Node, network and consensus behavior	Integration	P1	Pass

2 · Bug reports

73 defects reported. Test history: the case table shows an initial test run. The linked defect was then fixed and verified in a later retest; the initial failed result is retained for traceability.

Jira-style issue record: BLO-100 — Critical defect found in: transaction, gas and wallet flow testing

Steps: Run BLO-TC-19 with a standard user flow

Expected: Result matches the requirement

Actual: Behavior deviates from the requirement

Critical severity · Fixed and verified

Four case rows selected from the modeled suite; their pass/fail ratio is not the full-suite pass rate.

3 · Technology

Hardhat, Foundry, Slither, MythX, Postman, Jira

Test environment: 4 browsers, 6 OS versions, 18 devices, and a CI/CD pipeline with quality gates.

4 · Outcome

Metric	Before	After
Production defects / quarter	3	1
Regression time	5 days	1 day
Automation coverage	15%	68%

5 · How we would approach your project

Smart contract logic and security audit support
Transaction, gas and wallet flow testing
Reentrancy, overflow and access-control checks
Node, network and consensus behavior

Smart contract logic and security audit support
Transaction, gas and wallet flow testing
Reentrancy, overflow and access-control checks
Node, network and consensus behavior
Exchange and third-party API integration

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GovTech — Permit system: workflows across departments

Client QA Case Study — Sample project and results

GovTech company, 500K users · 4 months, team of 4

Challenge: Applications lost between offices.

1 · Test cases

890 designed; 890 executed; 859 passed (96.5%); 490 automation scripts.

ID	Module	Scenario	Type	Priority	Initial result
GOV-TC-12	Accessibility	Accessibility (WCAG 2.1 AA, Section 508)	Accessibility	P1	Pass
GOV-TC-19	Security	Security and data-protection compliance	Security	P1	Fail, bug raised
GOV-TC-26	Load	Citizen-scale load testing	Performance	P1	Pass
GOV-TC-33	Locales	Multi-language and low-bandwidth support	Compatibility	P1	Pass

2 · Bug reports

66 defects reported. Test history: the case table shows an initial test run. The linked defect was then fixed and verified in a later retest; the initial failed result is retained for traceability.

Jira-style issue record: GOV-180 — Critical defect found in: security and data-protection compliance

Steps: Run GOV-TC-19 with a standard user flow

Expected: Result matches the requirement

Actual: Behavior deviates from the requirement

Critical severity · Fixed and verified

Four case rows selected from the modeled suite; their pass/fail ratio is not the full-suite pass rate.

3 · Technology

JMeter, Axe, OWASP ZAP, Selenium, Jira

Test environment: 4 browsers, 6 OS versions, 18 devices, and a CI/CD pipeline with quality gates.

4 · Outcome

Metric	Before	After
Production defects / quarter	5	2
Regression time	5 days	1 day
Automation coverage	15%	55%

5 · How we would approach your project

Accessibility (WCAG 2.1 AA, Section 508)
Security and data-protection compliance
Citizen-scale load testing
Multi-language and low-bandwidth support

Accessibility (WCAG 2.1 AA, Section 508)
Security and data-protection compliance
Citizen-scale load testing
Multi-language and low-bandwidth support
Legacy system integration

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HRTech — Benefits platform: open enrollment peak

Client QA Case Study — Sample project and results

HRTech company, 350K users · 4 months, team of 2

Challenge: Enrollment errors in the first week.

1 · Test cases

1040 designed; 1040 executed; 1004 passed (96.5%); 686 automation scripts.

ID	Module	Scenario	Type	Priority	Initial result
HRT-TC-12	Payroll	Payroll, tax and benefit calculation accuracy	Functional	P1	Pass
HRT-TC-19	Country rules	Country and region rule coverage	Functional	P1	Fail, bug raised
HRT-TC-26	Privacy	Sensitive employee data privacy and access	Security	P1	Pass
HRT-TC-33	Workflow	Approval workflows and leave logic	Functional	P1	Pass

2 · Bug reports

79 defects reported. Test history: the case table shows an initial test run. The linked defect was then fixed and verified in a later retest; the initial failed result is retained for traceability.

Jira-style issue record: HRT-150 — Critical defect found in: country and region rule coverage

Steps: Run HRT-TC-19 with a standard user flow

Expected: Result matches the requirement

Actual: Behavior deviates from the requirement

Critical severity · Fixed and verified

Four case rows selected from the modeled suite; their pass/fail ratio is not the full-suite pass rate.

3 · Technology

Cypress, REST Assured, Postman, TestRail, Jira

Test environment: 4 browsers, 6 OS versions, 18 devices, and a CI/CD pipeline with quality gates.

4 · Outcome

Metric	Before	After
Production defects / quarter	6	2
Regression time	3 days	1 day
Automation coverage	15%	66%

5 · How we would approach your project

Payroll, tax and benefit calculation accuracy
Country and region rule coverage
Sensitive employee data privacy and access
Approval workflows and leave logic

Payroll, tax and benefit calculation accuracy
Country and region rule coverage
Sensitive employee data privacy and access
Approval workflows and leave logic
ATS, payroll and SSO integrations

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InsurTech — Broker portal: policy sync and commissions

Client QA Case Study — Sample project and results

InsurTech company, 400K users · 4 months, team of 2

Challenge: Commission statements were incorrect.

1 · Test cases

960 designed; 960 executed; 926 passed (96.5%); 576 automation scripts.

ID	Module	Scenario	Type	Priority	Initial result
INS-TC-12	Quotes	Premium and quote calculation rules	Functional	P1	Pass
INS-TC-19	Policy and claims	Policy and claims lifecycle flows	E2E	P1	Fail, bug raised
INS-TC-26	Audit	Regulatory and audit compliance	Compliance	P1	Pass
INS-TC-33	Documents and payments	Document and payment integrations	Integration	P1	Pass

2 · Bug reports

74 defects reported. Test history: the case table shows an initial test run. The linked defect was then fixed and verified in a later retest; the initial failed result is retained for traceability.

Jira-style issue record: INS-160 — Critical defect found in: policy and claims lifecycle flows

Steps: Run INS-TC-19 with a standard user flow

Expected: Result matches the requirement

Actual: Behavior deviates from the requirement

Critical severity · Fixed and verified

Four case rows selected from the modeled suite; their pass/fail ratio is not the full-suite pass rate.

3 · Technology

Selenium, REST Assured, Postman, TestRail, Jira

Test environment: 4 browsers, 6 OS versions, 18 devices, and a CI/CD pipeline with quality gates.

4 · Outcome

Metric	Before	After
Production defects / quarter	5	2
Regression time	3 days	1 day
Automation coverage	15%	60%

5 · How we would approach your project

Premium and quote calculation rules
Policy and claims lifecycle flows
Regulatory and audit compliance
Document and payment integrations

Premium and quote calculation rules
Policy and claims lifecycle flows
Regulatory and audit compliance
Document and payment integrations
Fraud and eligibility rules

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Mobile Applications — Ride-hailing app: live tracking accuracy

Client QA Case Study — Sample project and results

Mobile Applications company, 500K users · 5 months, team of 2

Challenge: Driver location lagged on 3G.

1 · Test cases

1160 designed; 1160 executed; 1119 passed (96.5%); 824 automation scripts.

ID	Module	Scenario	Type	Priority	Initial result
MOB-TC-12	Devices	Real-device and OS version coverage	Compatibility	P1	Pass
MOB-TC-19	Offline sync	Poor network and offline behavior	Functional	P1	Fail, bug raised
MOB-TC-26	Resources	Battery, memory and performance	Performance	P1	Pass
MOB-TC-33	Release	App store release and update flows	Compatibility	P1	Pass

2 · Bug reports

88 defects reported. Test history: the case table shows an initial test run. The linked defect was then fixed and verified in a later retest; the initial failed result is retained for traceability.

Jira-style issue record: MOB-180 — Critical defect found in: poor network and offline behavior

Steps: Run MOB-TC-19 with a standard user flow

Expected: Result matches the requirement

Actual: Behavior deviates from the requirement

Critical severity · Fixed and verified

Four case rows selected from the modeled suite; their pass/fail ratio is not the full-suite pass rate.

3 · Technology

Appium, Charles Proxy, JMeter, Firebase Test Lab

Test environment: 4 browsers, 6 OS versions, 18 devices, and a CI/CD pipeline with quality gates.

4 · Outcome

Metric	Before	After
Production defects / quarter	9	3
Regression time	3 days	1 day
Automation coverage	15%	71%

5 · How we would approach your project

Real-device and OS version coverage
Poor network and offline behavior
Battery, memory and performance
App store release and update flows

Real-device and OS version coverage
Poor network and offline behavior
Battery, memory and performance
App store release and update flows
Push notifications, permissions and deep links

6 · Book a free 30-minute call

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SaaS — Helpdesk SaaS: API contract testing at scale

Client QA Case Study — Sample project and results

SaaS company, 250K users · 5 months, team of 2

Challenge: Partner integrations broke after each release.

1 · Test cases

1380 designed; 1380 executed; 1332 passed (96.5%); 1132 automation scripts.

ID	Module	Scenario	Type	Priority	Initial result
SAA-TC-13	Tenancy	Multi-tenant data isolation	Security	P1	Pass
SAA-TC-20	API	API and integration contract testing	API	P1	Fail, bug raised
SAA-TC-27	CI/CD	Automated regression in CI/CD	Regression	P1	Pass
SAA-TC-34	Billing	Subscription, billing and permissions	Functional	P1	Pass

2 · Bug reports

92 defects reported. Test history: the case table shows an initial test run. The linked defect was then fixed and verified in a later retest; the initial failed result is retained for traceability.

Jira-style issue record: SAA-130 — Critical defect found in: api and integration contract testing

Steps: Run SAA-TC-20 with a standard user flow

Expected: Result matches the requirement

Actual: Behavior deviates from the requirement

Critical severity · Fixed and verified

Four case rows selected from the modeled suite; their pass/fail ratio is not the full-suite pass rate.

3 · Technology

Playwright, Jest, GitHub Actions, Allure

Test environment: 4 browsers, 6 OS versions, 18 devices, and a CI/CD pipeline with quality gates.

4 · Outcome

Metric	Before	After
Production defects / quarter	5	2
Regression time	3 days	1 day
Automation coverage	15%	82%

5 · How we would approach your project

Multi-tenant data isolation
API and integration contract testing
Automated regression in CI/CD
Subscription, billing and permissions

Multi-tenant data isolation
API and integration contract testing
Automated regression in CI/CD
Subscription, billing and permissions
Upgrade and migration safety

6 · Book a free 30-minute call

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Fintech — Payment gateway: PCI-DSS audit passed

Client QA Case Study — Sample project and results

Fintech company, 150K users · 6 months, team of 2

Challenge: Gaps found in pre-audit security review.

1 · Test cases

1540 designed; 1540 executed; 1486 passed (96.5%); 1016 automation scripts.

ID	Module	Scenario	Type	Priority	Initial result
FIN-TC-13	Card data	PCI-DSS compliance and secure card data handling	Security	P1	Pass
FIN-TC-20	Transactions	Transaction integrity, rounding and reconciliation	Functional	P1	Fail, bug raised
FIN-TC-27	Authentication	Fraud, auth and session security (penetration testing)	Security	P1	Pass
FIN-TC-34	Payments	Concurrency and idempotency of payments	API	P1	Pass

2 · Bug reports

112 defects reported. Test history: the case table shows an initial test run. The linked defect was then fixed and verified in a later retest; the initial failed result is retained for traceability.

Jira-style issue record: FIN-110 — Critical defect found in: transaction integrity, rounding and reconciliation

Steps: Run FIN-TC-20 with a standard user flow

Expected: Result matches the requirement

Actual: Behavior deviates from the requirement

Critical severity · Fixed and verified

Four case rows selected from the modeled suite; their pass/fail ratio is not the full-suite pass rate.

3 · Technology

Postman, REST Assured, Selenium, OWASP ZAP, Jenkins

Test environment: 4 browsers, 6 OS versions, 18 devices, and a CI/CD pipeline with quality gates.

4 · Outcome

Metric	Before	After
Production defects / quarter	5	2
Regression time	3 days	1 day
Automation coverage	15%	66%

5 · How we would approach your project

PCI-DSS compliance and secure card data handling
Transaction integrity, rounding and reconciliation
Fraud, auth and session security (penetration testing)
Concurrency and idempotency of payments

PCI-DSS compliance and secure card data handling
Transaction integrity, rounding and reconciliation
Fraud, auth and session security (penetration testing)
Concurrency and idempotency of payments
Third-party API and bank integration

6 · Book a free 30-minute call

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Healthcare — Patient app: HIPAA and accessibility ready

Client QA Case Study — Sample project and results

Healthcare company, 200K users · 4 months, team of 2

Challenge: Privacy and accessibility gaps before launch.

1 · Test cases

920 designed; 920 executed; 888 passed (96.5%); 478 automation scripts.

ID	Module	Scenario	Type	Priority	Initial result
HEA-TC-13	Privacy	HIPAA / GDPR privacy and audit trails	Compliance	P1	Pass
HEA-TC-20	Interoperability	HL7 / FHIR and EHR integration accuracy	Integration	P1	Fail, bug raised
HEA-TC-27	Access	Role-based access control	Security	P1	Pass
HEA-TC-34	Accessibility	Accessibility (WCAG 2.1 AA)	Accessibility	P1	Pass

2 · Bug reports

76 defects reported. Test history: the case table shows an initial test run. The linked defect was then fixed and verified in a later retest; the initial failed result is retained for traceability.

Jira-style issue record: HEA-120 — Critical defect found in: hl7 / fhir and ehr integration accuracy

Steps: Run HEA-TC-20 with a standard user flow

Expected: Result matches the requirement

Actual: Behavior deviates from the requirement

Critical severity · Fixed and verified

Four case rows selected from the modeled suite; their pass/fail ratio is not the full-suite pass rate.

3 · Technology

Cypress, JMeter, Axe, SoapUI, TestRail

Test environment: 4 browsers, 6 OS versions, 18 devices, and a CI/CD pipeline with quality gates.

4 · Outcome

Metric	Before	After
Production defects / quarter	5	2
Regression time	3 days	1 day
Automation coverage	15%	52%

5 · How we would approach your project

HIPAA / GDPR privacy and audit trails
HL7 / FHIR and EHR integration accuracy
Role-based access control
Accessibility (WCAG 2.1 AA)

HIPAA / GDPR privacy and audit trails
HL7 / FHIR and EHR integration accuracy
Role-based access control
Accessibility (WCAG 2.1 AA)
Data integrity and backup/restore

6 · Book a free 30-minute call

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EdTech — Video courses: smooth playback worldwide

Client QA Case Study — Sample project and results

EdTech company, 100K users · 3 months, team of 2

Challenge: Buffering across regions and devices.

1 · Test cases

720 designed; 720 executed; 695 passed (96.5%); 360 automation scripts.

ID	Module	Scenario	Type	Priority	Initial result
EDT-TC-13	Live classes	Peak load during live classes and exams	Performance	P1	Pass
EDT-TC-20	Assessment	Quiz, grading and progress accuracy	Functional	P1	Fail, bug raised
EDT-TC-27	Video	Video streaming across networks and devices	Compatibility	P1	Pass
EDT-TC-34	Accessibility and privacy	Accessibility and student data privacy (FERPA, COPPA)	Compliance	P1	Pass

2 · Bug reports

63 defects reported. Test history: the case table shows an initial test run. The linked defect was then fixed and verified in a later retest; the initial failed result is retained for traceability.

Jira-style issue record: EDT-100 — Critical defect found in: quiz, grading and progress accuracy

Steps: Run EDT-TC-20 with a standard user flow

Expected: Result matches the requirement

Actual: Behavior deviates from the requirement

Critical severity · Fixed and verified

Four case rows selected from the modeled suite; their pass/fail ratio is not the full-suite pass rate.

3 · Technology

k6, Cypress, Axe, BrowserStack, Jira

Test environment: 4 browsers, 6 OS versions, 18 devices, and a CI/CD pipeline with quality gates.

4 · Outcome

Metric	Before	After
Production defects / quarter	6	2
Regression time	3 days	1 day
Automation coverage	15%	50%

5 · How we would approach your project

Peak load during live classes and exams
Quiz, grading and progress accuracy
Video streaming across networks and devices
Accessibility and student data privacy (FERPA, COPPA)

Peak load during live classes and exams
Quiz, grading and progress accuracy
Video streaming across networks and devices
Accessibility and student data privacy (FERPA, COPPA)
LMS and third-party tool integration (LTI)

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E-commerce — Subscription box: recurring billing without errors

Client QA Case Study — Sample project and results

E-commerce company, 350K users · 3 months, team of 2

Challenge: Failed renewals and duplicate charges.

1 · Test cases

860 designed; 860 executed; 830 passed (96.5%); 576 automation scripts.

ID	Module	Scenario	Type	Priority	Initial result
ECO-TC-13	Checkout	Checkout, cart, coupons and tax logic	Functional	P1	Pass
ECO-TC-20	Load	Peak-load and stress testing	Performance	P1	Fail, bug raised
ECO-TC-27	Payments	Payment gateway and fraud checks	Integration	P1	Pass
ECO-TC-34	Devices	Cross-browser and mobile device matrix	Compatibility	P1	Pass

2 · Bug reports

66 defects reported. Test history: the case table shows an initial test run. The linked defect was then fixed and verified in a later retest; the initial failed result is retained for traceability.

Jira-style issue record: ECO-150 — Critical defect found in: peak-load and stress testing

Steps: Run ECO-TC-20 with a standard user flow

Expected: Result matches the requirement

Actual: Behavior deviates from the requirement

Critical severity · Fixed and verified

Four case rows selected from the modeled suite; their pass/fail ratio is not the full-suite pass rate.

3 · Technology

k6, Playwright, BrowserStack, Grafana

Test environment: 4 browsers, 6 OS versions, 18 devices, and a CI/CD pipeline with quality gates.

4 · Outcome

Metric	Before	After
Production defects / quarter	3	1
Regression time	3 days	1 day
Automation coverage	15%	67%

5 · How we would approach your project

Checkout, cart, coupons and tax logic
Peak-load and stress testing
Payment gateway and fraud checks
Cross-browser and mobile device matrix

Checkout, cart, coupons and tax logic
Peak-load and stress testing
Payment gateway and fraud checks
Cross-browser and mobile device matrix
SEO, speed and Core Web Vitals

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CRM — Marketing CRM: campaign automation verified

Client QA Case Study — Sample project and results

CRM company, 300K users · 4 months, team of 2

Challenge: Emails sent to the wrong segments.

1 · Test cases

1120 designed; 1120 executed; 1081 passed (96.5%); 706 automation scripts.

ID	Module	Scenario	Type	Priority	Initial result
CRM-TC-13	Data migration	Data migration and deduplication accuracy	Data	P1	Pass
CRM-TC-20	Workflow	Workflow, automation and lead-routing rules	Functional	P1	Fail, bug raised
CRM-TC-27	Integrations	Email, calendar and telephony integrations	Integration	P1	Pass
CRM-TC-34	Access	Role-based access and data visibility	Security	P1	Pass

2 · Bug reports

81 defects reported. Test history: the case table shows an initial test run. The linked defect was then fixed and verified in a later retest; the initial failed result is retained for traceability.

Jira-style issue record: CRM-140 — Critical defect found in: workflow, automation and lead-routing rules

Steps: Run CRM-TC-20 with a standard user flow

Expected: Result matches the requirement

Actual: Behavior deviates from the requirement

Critical severity · Fixed and verified

Four case rows selected from the modeled suite; their pass/fail ratio is not the full-suite pass rate.

3 · Technology

Postman, Playwright, Talend Data Quality, JMeter, Jira

Test environment: 4 browsers, 6 OS versions, 18 devices, and a CI/CD pipeline with quality gates.

4 · Outcome

Metric	Before	After
Production defects / quarter	5	2
Regression time	3 days	1 day
Automation coverage	15%	63%

5 · How we would approach your project

Data migration and deduplication accuracy
Workflow, automation and lead-routing rules
Email, calendar and telephony integrations
Role-based access and data visibility

Data migration and deduplication accuracy
Workflow, automation and lead-routing rules
Email, calendar and telephony integrations
Role-based access and data visibility
Reporting and dashboard correctness

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ERP — HR and payroll ERP: migration fully tested

Client QA Case Study — Sample project and results

ERP company, 100K users · 6 months, team of 4

Challenge: Employee data lost in migration.

1 · Test cases

1710 designed; 1710 executed; 1650 passed (96.5%); 1129 automation scripts.

ID	Module	Scenario	Type	Priority	Initial result
ERP-TC-13	Business flows	End-to-end business flows (order to cash, procure to pay)	E2E	P1	Pass
ERP-TC-20	Finance	Financial calculation and ledger accuracy	Functional	P1	Fail, bug raised
ERP-TC-27	Integration	Multi-module integration and data migration	Integration	P1	Pass
ERP-TC-34	Access	Role, approval and segregation-of-duties checks	Security	P1	Pass

2 · Bug reports

108 defects reported. Test history: the case table shows an initial test run. The linked defect was then fixed and verified in a later retest; the initial failed result is retained for traceability.

Jira-style issue record: ERP-100 — Critical defect found in: financial calculation and ledger accuracy

Steps: Run ERP-TC-20 with a standard user flow

Expected: Result matches the requirement

Actual: Behavior deviates from the requirement

Critical severity · Fixed and verified

Four case rows selected from the modeled suite; their pass/fail ratio is not the full-suite pass rate.

3 · Technology

Tricentis Tosca, SoapUI, JMeter, TestRail, Jira

Test environment: 4 browsers, 6 OS versions, 18 devices, and a CI/CD pipeline with quality gates.

4 · Outcome

Metric	Before	After
Production defects / quarter	5	2
Regression time	5 days	1 day
Automation coverage	15%	66%

5 · How we would approach your project

End-to-end business flows (order to cash, procure to pay)
Financial calculation and ledger accuracy
Multi-module integration and data migration
Role, approval and segregation-of-duties checks

End-to-end business flows (order to cash, procure to pay)
Financial calculation and ledger accuracy
Multi-module integration and data migration
Role, approval and segregation-of-duties checks
UAT support and month-end load

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AI/ML — Speech app: accuracy across 12 accents

Client QA Case Study — Sample project and results

AI/ML company, 400K users · 3 months, team of 4

Challenge: Poor recognition for some users.

1 · Test cases

690 designed; 690 executed; 666 passed (96.5%); 442 automation scripts.

ID	Module	Scenario	Type	Priority	Initial result
AIM-TC-13	Model	Model accuracy, precision and recall against test sets	Evaluation	P1	Pass
AIM-TC-20	Fairness	Bias and fairness testing	Bias	P1	Fail, bug raised
AIM-TC-27	Data	Data quality and drift monitoring	Monitoring	P1	Pass
AIM-TC-34	Safety	Hallucination, prompt-injection and safety tests	Security	P1	Pass

2 · Bug reports

51 defects reported. Test history: the case table shows an initial test run. The linked defect was then fixed and verified in a later retest; the initial failed result is retained for traceability.

Jira-style issue record: AIM-160 — Critical defect found in: bias and fairness testing

Steps: Run AIM-TC-20 with a standard user flow

Expected: Result matches the requirement

Actual: Behavior deviates from the requirement

Critical severity · Fixed and verified

Four case rows selected from the modeled suite; their pass/fail ratio is not the full-suite pass rate.

3 · Technology

Python, pytest, Great Expectations, MLflow, Evidently, Jira

Test environment: 4 browsers, 6 OS versions, 18 devices, and a CI/CD pipeline with quality gates.

4 · Outcome

Metric	Before	After
Production defects / quarter	6	2
Regression time	5 days	1 day
Automation coverage	15%	64%

5 · How we would approach your project

Model accuracy, precision and recall against test sets
Bias and fairness testing
Data quality and drift monitoring
Hallucination, prompt-injection and safety tests

Model accuracy, precision and recall against test sets
Bias and fairness testing
Data quality and drift monitoring
Hallucination, prompt-injection and safety tests
Latency and cost under load

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AI & LLM Testing — AI agent: tool-use safety and cost control

Client QA Case Study — Sample project and results

AI & LLM Testing company, 300K users · 3 months, team of 2

Challenge: Agent looped and ran up token costs.

1 · Test cases

760 designed; 760 executed; 733 passed (96.4%); 517 automation scripts.

ID	Module	Scenario	Type	Priority	Initial result
AIL-TC-14	RAG	Hallucination and groundedness (RAG) evaluation	Evaluation	P1	Pass
AIL-TC-21	Security	Prompt-injection, jailbreak and data-leak red teaming	Security	P1	Fail, bug raised
AIL-TC-28	Prompts	Prompt and model-upgrade regression suites	Regression	P1	Pass
AIL-TC-35	Safety	Bias, toxicity and safety evaluation	Evaluation	P1	Pass

2 · Bug reports

58 defects reported. Test history: the case table shows an initial test run. The linked defect was then fixed and verified in a later retest; the initial failed result is retained for traceability.

Jira-style issue record: AIL-140 — Critical defect found in: prompt-injection, jailbreak and data-leak red teaming

Steps: Run AIL-TC-21 with a standard user flow

Expected: Result matches the requirement

Actual: Behavior deviates from the requirement

Critical severity · Fixed and verified

Four case rows selected from the modeled suite; their pass/fail ratio is not the full-suite pass rate.

3 · Technology

Python, promptfoo, DeepEval, Ragas, LangSmith, Jira

Test environment: 4 browsers, 6 OS versions, 18 devices, and a CI/CD pipeline with quality gates.

4 · Outcome

Metric	Before	After
Production defects / quarter	3	1
Regression time	3 days	1 day
Automation coverage	15%	68%

5 · How we would approach your project

Hallucination and groundedness (RAG) evaluation
Prompt-injection, jailbreak and data-leak red teaming
Prompt and model-upgrade regression suites
Bias, toxicity and safety evaluation

Hallucination and groundedness (RAG) evaluation
Prompt-injection, jailbreak and data-leak red teaming
Prompt and model-upgrade regression suites
Bias, toxicity and safety evaluation
Latency, cost and token usage under load

6 · Book a free 30-minute call

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Blockchain/Crypto — Cross-chain bridge: transfer safety tested

Client QA Case Study — Sample project and results

Blockchain/Crypto company, 300K users · 4 months, team of 2

Challenge: Transfers stuck between chains.

1 · Test cases

760 designed; 760 executed; 733 passed (96.4%); 441 automation scripts.

ID	Module	Scenario	Type	Priority	Initial result
BLO-TC-13	Contracts	Smart contract logic and security audit support	Security	P1	Pass
BLO-TC-20	Transactions	Transaction, gas and wallet flow testing	Functional	P1	Fail, bug raised
BLO-TC-27	Contract security	Reentrancy, overflow and access-control checks	Security	P1	Pass
BLO-TC-34	Network	Node, network and consensus behavior	Integration	P1	Pass

2 · Bug reports

56 defects reported. Test history: the case table shows an initial test run. The linked defect was then fixed and verified in a later retest; the initial failed result is retained for traceability.

Jira-style issue record: BLO-140 — Critical defect found in: transaction, gas and wallet flow testing

Steps: Run BLO-TC-20 with a standard user flow

Expected: Result matches the requirement

Actual: Behavior deviates from the requirement

Critical severity · Fixed and verified

Four case rows selected from the modeled suite; their pass/fail ratio is not the full-suite pass rate.

3 · Technology

Hardhat, Foundry, Slither, MythX, Postman, Jira

Test environment: 4 browsers, 6 OS versions, 18 devices, and a CI/CD pipeline with quality gates.

4 · Outcome

Metric	Before	After
Production defects / quarter	3	1
Regression time	3 days	1 day
Automation coverage	15%	58%

5 · How we would approach your project

Smart contract logic and security audit support
Transaction, gas and wallet flow testing
Reentrancy, overflow and access-control checks
Node, network and consensus behavior

Smart contract logic and security audit support
Transaction, gas and wallet flow testing
Reentrancy, overflow and access-control checks
Node, network and consensus behavior
Exchange and third-party API integration

6 · Book a free 30-minute call

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GovTech — Open data site: multilingual and accessible

Client QA Case Study — Sample project and results

GovTech company, 150K users · 3 months, team of 2

Challenge: Missing translations and WCAG issues.

1 · Test cases

640 designed; 640 executed; 618 passed (96.6%); 333 automation scripts.

ID	Module	Scenario	Type	Priority	Initial result
GOV-TC-13	Accessibility	Accessibility (WCAG 2.1 AA, Section 508)	Accessibility	P1	Pass
GOV-TC-20	Security	Security and data-protection compliance	Security	P1	Fail, bug raised
GOV-TC-27	Load	Citizen-scale load testing	Performance	P1	Pass
GOV-TC-34	Locales	Multi-language and low-bandwidth support	Compatibility	P1	Pass

2 · Bug reports

48 defects reported. Test history: the case table shows an initial test run. The linked defect was then fixed and verified in a later retest; the initial failed result is retained for traceability.

Jira-style issue record: GOV-110 — Critical defect found in: security and data-protection compliance

Steps: Run GOV-TC-20 with a standard user flow

Expected: Result matches the requirement

Actual: Behavior deviates from the requirement

Critical severity · Fixed and verified

Four case rows selected from the modeled suite; their pass/fail ratio is not the full-suite pass rate.

3 · Technology

JMeter, Axe, OWASP ZAP, Selenium, Jira

Test environment: 4 browsers, 6 OS versions, 18 devices, and a CI/CD pipeline with quality gates.

4 · Outcome

Metric	Before	After
Production defects / quarter	3	1
Regression time	3 days	1 day
Automation coverage	15%	52%

5 · How we would approach your project

Accessibility (WCAG 2.1 AA, Section 508)
Security and data-protection compliance
Citizen-scale load testing
Multi-language and low-bandwidth support

Accessibility (WCAG 2.1 AA, Section 508)
Security and data-protection compliance
Citizen-scale load testing
Multi-language and low-bandwidth support
Legacy system integration

6 · Book a free 30-minute call

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HRTech — Performance review tool: permissions tested

Client QA Case Study — Sample project and results

HRTech company, 100K users · 3 months, team of 2

Challenge: Managers saw restricted reviews.

1 · Test cases

720 designed; 720 executed; 695 passed (96.5%); 418 automation scripts.

ID	Module	Scenario	Type	Priority	Initial result
HRT-TC-13	Payroll	Payroll, tax and benefit calculation accuracy	Functional	P1	Pass
HRT-TC-20	Country rules	Country and region rule coverage	Functional	P1	Fail, bug raised
HRT-TC-27	Privacy	Sensitive employee data privacy and access	Security	P1	Pass
HRT-TC-34	Workflow	Approval workflows and leave logic	Functional	P1	Pass

2 · Bug reports

53 defects reported. Test history: the case table shows an initial test run. The linked defect was then fixed and verified in a later retest; the initial failed result is retained for traceability.

Jira-style issue record: HRT-100 — Critical defect found in: country and region rule coverage

Steps: Run HRT-TC-20 with a standard user flow

Expected: Result matches the requirement

Actual: Behavior deviates from the requirement

Critical severity · Fixed and verified

Four case rows selected from the modeled suite; their pass/fail ratio is not the full-suite pass rate.

3 · Technology

Cypress, REST Assured, Postman, TestRail, Jira

Test environment: 4 browsers, 6 OS versions, 18 devices, and a CI/CD pipeline with quality gates.

4 · Outcome

Metric	Before	After
Production defects / quarter	3	1
Regression time	3 days	1 day
Automation coverage	15%	58%

5 · How we would approach your project

Payroll, tax and benefit calculation accuracy
Country and region rule coverage
Sensitive employee data privacy and access
Approval workflows and leave logic

Payroll, tax and benefit calculation accuracy
Country and region rule coverage
Sensitive employee data privacy and access
Approval workflows and leave logic
ATS, payroll and SSO integrations

6 · Book a free 30-minute call

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InsurTech — Travel insurance app: instant policy issue

Client QA Case Study — Sample project and results

InsurTech company, 200K users · 3 months, team of 2

Challenge: Policy documents delayed or missing.

1 · Test cases

740 designed; 740 executed; 714 passed (96.5%); 474 automation scripts.

ID	Module	Scenario	Type	Priority	Initial result
INS-TC-13	Quotes	Premium and quote calculation rules	Functional	P1	Pass
INS-TC-20	Policy and claims	Policy and claims lifecycle flows	E2E	P1	Fail, bug raised
INS-TC-27	Audit	Regulatory and audit compliance	Compliance	P1	Pass
INS-TC-34	Documents and payments	Document and payment integrations	Integration	P1	Pass

2 · Bug reports

57 defects reported. Test history: the case table shows an initial test run. The linked defect was then fixed and verified in a later retest; the initial failed result is retained for traceability.

Jira-style issue record: INS-120 — Critical defect found in: policy and claims lifecycle flows

Steps: Run INS-TC-20 with a standard user flow

Expected: Result matches the requirement

Actual: Behavior deviates from the requirement

Critical severity · Fixed and verified

Four case rows selected from the modeled suite; their pass/fail ratio is not the full-suite pass rate.

3 · Technology

Selenium, REST Assured, Postman, TestRail, Jira

Test environment: 4 browsers, 6 OS versions, 18 devices, and a CI/CD pipeline with quality gates.

4 · Outcome

Metric	Before	After
Production defects / quarter	3	1
Regression time	3 days	1 day
Automation coverage	15%	64%

5 · How we would approach your project

Premium and quote calculation rules
Policy and claims lifecycle flows
Regulatory and audit compliance
Document and payment integrations

Premium and quote calculation rules
Policy and claims lifecycle flows
Regulatory and audit compliance
Document and payment integrations
Fraud and eligibility rules

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Mobile Applications — Fitness app: wearable sync reliability

Client QA Case Study — Sample project and results

Mobile Applications company, 200K users · 3 months, team of 4

Challenge: Workout data missing from the watch.

1 · Test cases

830 designed; 830 executed; 801 passed (96.5%); 515 automation scripts.

ID	Module	Scenario	Type	Priority	Initial result
MOB-TC-13	Devices	Real-device and OS version coverage	Compatibility	P1	Pass
MOB-TC-20	Offline sync	Poor network and offline behavior	Functional	P1	Fail, bug raised
MOB-TC-27	Resources	Battery, memory and performance	Performance	P1	Pass
MOB-TC-34	Release	App store release and update flows	Compatibility	P1	Pass

2 · Bug reports

63 defects reported. Test history: the case table shows an initial test run. The linked defect was then fixed and verified in a later retest; the initial failed result is retained for traceability.

Jira-style issue record: MOB-120 — Critical defect found in: poor network and offline behavior

Steps: Run MOB-TC-20 with a standard user flow

Expected: Result matches the requirement

Actual: Behavior deviates from the requirement

Critical severity · Fixed and verified

Four case rows selected from the modeled suite; their pass/fail ratio is not the full-suite pass rate.

3 · Technology

Appium, Charles Proxy, JMeter, Firebase Test Lab

Test environment: 4 browsers, 6 OS versions, 18 devices, and a CI/CD pipeline with quality gates.

4 · Outcome

Metric	Before	After
Production defects / quarter	6	2
Regression time	5 days	1 day
Automation coverage	15%	62%

5 · How we would approach your project

Real-device and OS version coverage
Poor network and offline behavior
Battery, memory and performance
App store release and update flows

Real-device and OS version coverage
Poor network and offline behavior
Battery, memory and performance
App store release and update flows
Push notifications, permissions and deep links

6 · Book a free 30-minute call

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Industry testing guidance

SaaS: key areas to test

Multi-tenant data isolation
API and integration contract testing
Automated regression in CI/CD
Subscription, billing and permissions
Upgrade and migration safety

Fintech: key areas to test

PCI-DSS compliance and secure card data handling
Transaction integrity, rounding and reconciliation
Fraud, auth and session security (penetration testing)
Concurrency and idempotency of payments
Third-party API and bank integration

Healthcare: key areas to test

HIPAA / GDPR privacy and audit trails
HL7 / FHIR and EHR integration accuracy
Role-based access control
Accessibility (WCAG 2.1 AA)
Data integrity and backup/restore

EdTech: key areas to test

Peak load during live classes and exams
Quiz, grading and progress accuracy
Video streaming across networks and devices
Accessibility and student data privacy (FERPA, COPPA)
LMS and third-party tool integration (LTI)

E-commerce: key areas to test

Checkout, cart, coupons and tax logic
Peak-load and stress testing
Payment gateway and fraud checks
Cross-browser and mobile device matrix
SEO, speed and Core Web Vitals

CRM: key areas to test

Data migration and deduplication accuracy
Workflow, automation and lead-routing rules
Email, calendar and telephony integrations
Role-based access and data visibility
Reporting and dashboard correctness

ERP: key areas to test

End-to-end business flows (order to cash, procure to pay)
Financial calculation and ledger accuracy
Multi-module integration and data migration
Role, approval and segregation-of-duties checks
UAT support and month-end load

AI/ML: key areas to test

Model accuracy, precision and recall against test sets
Bias and fairness testing
Data quality and drift monitoring
Hallucination, prompt-injection and safety tests
Latency and cost under load

AI & LLM Testing: key areas to test

Hallucination and groundedness (RAG) evaluation
Prompt-injection, jailbreak and data-leak red teaming
Prompt and model-upgrade regression suites
Bias, toxicity and safety evaluation
Latency, cost and token usage under load

Blockchain/Crypto: key areas to test

Smart contract logic and security audit support
Transaction, gas and wallet flow testing
Reentrancy, overflow and access-control checks
Node, network and consensus behavior
Exchange and third-party API integration

GovTech: key areas to test

Accessibility (WCAG 2.1 AA, Section 508)
Security and data-protection compliance
Citizen-scale load testing
Multi-language and low-bandwidth support
Legacy system integration

HRTech: key areas to test

Payroll, tax and benefit calculation accuracy
Country and region rule coverage
Sensitive employee data privacy and access
Approval workflows and leave logic
ATS, payroll and SSO integrations

InsurTech: key areas to test

Premium and quote calculation rules
Policy and claims lifecycle flows
Regulatory and audit compliance
Document and payment integrations
Fraud and eligibility rules

Mobile Applications: key areas to test

Real-device and OS version coverage
Poor network and offline behavior
Battery, memory and performance
App store release and update flows
Push notifications, permissions and deep links

What good QA looks like in your industry

Every sector has its own risks. These are starting points for an agreed testing scope.

We agree applicable standards, checks, and acceptance criteria with your team before testing starts.

How we approach your project

Five steps from understanding your product to maintaining useful coverage.

Discovery

Understand your product, users, risks, and release flow.

Test strategy

Agree scope, environments, tools, and entry and exit criteria.

Execution

Run the manual, automated, API, and specialist checks in your scope.

Reporting

Connect test results, defects, evidence, and release risks.

Improve

Retest fixes, maintain automation, and refine coverage as your product changes.

What would useful testing look like for your product?

Book a free 30-minute call to discuss your product, release flow, and testing priorities.

Book a free call

Actual local execution

Want to inspect a real test run?

Inspect executed scripts, captured observations, and a release decision from our controlled reference project.

Inspect executed reference evidence

YOUR NEXT STEP

Let’s walk through your project.

Choose a date and time below. We’ll discuss your product, review relevant QA approaches, and agree how a focused QA audit could help your team. A call is booked only after you complete the calendar’s confirmation.

30-minute call

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