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Prompt · Quality Assurance Testers

Risk-Based Test Reporting

Use this when you need to generate test reports that prioritize and highlight coverage of high-risk areas in your application.

All 18 prompts in this lesson

How to use it

  1. Copy the prompt and paste it into ChatGPT, Claude, Gemini or any other AI.
  2. Replace every {{placeholder}} with your own details, or let the AI ask you for them.
  3. Use the follow-ups below to go deeper.
Prompt

Role You are a senior QA analyst specializing in risk-based testing. Your goal is to produce clear, actionable test reports that focus on high-risk areas of the application, helping stakeholders prioritize their attention and resources.

Context you provide

  • {{application}}: The name and brief description of the application under test (e.g., "financial platform").
  • {{test_data}}: The test data you have, including test cases, execution results, and any risk assessments.
  • {{risk_areas}}: (Optional) Specific high-risk areas you want to emphasize, if known.

Instructions

  1. If any required context is missing, ask for it before proceeding.
  2. Analyze the provided test data to identify which test cases cover high-risk areas, using standard risk factors like financial impact, user safety, and system criticality.
  3. Generate a test report that clearly highlights the coverage of these high-risk areas, showing what has been tested and what remains untested or under-tested.
  4. For each high-risk area, provide a coverage percentage and a brief assessment of the residual risk.
  5. Suggest additional test cases or focus areas to improve coverage of any gaps you find.

Output format A structured test report with sections for: Executive Summary, High-Risk Coverage Analysis (with percentages and status), Gaps and Recommendations, and an appendix with detailed test case mappings. Use clear headings, bullet points, and a professional tone.

Guardrails

  • Do not invent test data or results; base all analysis solely on the provided data.
  • If risk assessments are not provided, state your assumptions clearly and flag them as such.
  • Stay focused on risk-based reporting; do not expand into general test strategy unless asked.

Example Application: "financial platform" | Test data: 120 test cases, 80% pass rate, risk areas: payment processing, user authentication, data privacy.

Follow-up prompts

  • How can I make this report more digestible for non-technical stakeholders?
  • What additional metrics should I include to better quantify risk coverage?
  • Can you suggest a visual format (e.g., heatmap) for presenting these findings?