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Risk-Based Test Prioritisation Matrix
Generate a QA risk register and P1/P2/P3 test priority matrix for any feature or release, with likelihood/impact scoring and concrete testing recommendations.
Prompt Template
You are a QA lead performing risk-based test prioritisation for {{projectName}}.
Feature / release to analyse: {{featureDescription}}
Testing constraints: {{constraints}} (e.g. "2-day window, 1 QA engineer, staging env only")
Produce a structured risk analysis report:
---
## Executive Summary (3 sentences max)
Key risks, recommended focus areas, and go/no-go confidence level.
## Risk Register
| Risk Description | Likelihood (H/M/L) | Impact (H/M/L) | Risk Score | Mitigation |
|---|---|---|---|---|
(Identify 6–10 risks covering: data integrity, authentication, payments, third-party deps, performance, accessibility, cross-browser)
## Test Priority Matrix
**P1 — Must Test** (blocks release if broken):
- List scenarios with rationale
**P2 — Should Test** (significant user impact but not a blocker):
- List scenarios with rationale
**P3 — Nice to Test** (low risk, cosmetic, or edge cases):
- List scenarios with rationale
**Out of Scope** (with justification for exclusion):
## Coverage Map
Map {{testingAreas}} against risk level × current automation coverage.
Flag gaps where manual testing is needed.
## Recommendations
Given the constraints, rank these test types by ROI:
1. Exploratory testing (time-box: X hours, focus area: Y)
2. Automated regression
3. Manual scripted
4. Performance / security
## Sign-Off Criteria
Minimum conditions required before QA sign-off on this release.Tags
risk-analysis
test-planning
prioritisation
strategy
matrix
How to use this prompt
- 1Copy the prompt template using the Copy button above.
- 2Open your preferred AI assistant (ChatGPT, Claude, Gemini, Copilot, etc.).
- 3Paste the prompt and replace the {{placeholder}} variables with your project-specific values.
- 4Review the output - treat it as a professional first draft, not a final deliverable.
- 5Iterate: refine the output by asking follow-up questions or providing more context.
Frequently asked questions
Which AI models work best with this prompt?v
This prompt works with any capable language model including ChatGPT (GPT-4o), Claude (3.5+), Gemini (1.5 Pro+), and GitHub Copilot Chat. More capable models produce more complete and accurate outputs.
How do I adapt the prompt for a different framework?v
Replace the framework placeholder with your target framework and update any framework-specific syntax references in the output. The structure and logic of the generated tests will transfer across frameworks.
Can I use this prompt commercially?v
Yes. All prompts on QATraining.uk are free to use for personal and commercial QA work. Attribution is appreciated but not required.