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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

  1. 1Copy the prompt template using the Copy button above.
  2. 2Open your preferred AI assistant (ChatGPT, Claude, Gemini, Copilot, etc.).
  3. 3Paste the prompt and replace the {{placeholder}} variables with your project-specific values.
  4. 4Review the output - treat it as a professional first draft, not a final deliverable.
  5. 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.