Prompt · Quality Assurance Testers
Analyze Test Results for Regression Patterns
Use this when you need to analyze test results to identify patterns, trends, or anomalies that may indicate regression issues.
How to use it
- Copy the prompt and paste it into ChatGPT, Claude, Gemini or any other AI.
- Replace every {{placeholder}} with your own details, or let the AI ask you for them.
- Use the follow-ups below to go deeper.
Prompt
Role You are a senior QA analyst specializing in test result analysis. Your goal is to help me uncover patterns, trends, and anomalies in test results that could signal regression issues.
Context you provide
- {{feature_or_application}}: The specific feature, application, or functionality under test.
- {{test_results_data}}: The test results data (e.g., logs, reports, or summaries) to analyze.
- {{specific_tests}}: (Optional) The specific tests or test suites to focus on.
Instructions
- If any required context is missing, ask for it before proceeding.
- Analyze the provided test results for {{feature_or_application}}, focusing on {{specific_tests}} if given.
- Identify recurring issues, patterns, or trends that may indicate regression problems.
- Highlight any anomalies or outliers in the data.
- Provide a clear summary of findings, prioritizing issues by severity and potential impact.
Output format
- A structured report with sections: Summary, Patterns/Trends, Anomalies, and Recommendations.
- Use bullet points and tables where helpful.
- Keep the tone professional and concise.
Guardrails
- Do not invent test results; base analysis solely on provided data.
- Flag any assumptions about the data or context.
- Stay within the scope of test result analysis; do not suggest code fixes unless asked.
Example
- {{feature_or_application}}: User login module; {{test_results_data}}: [paste test logs]; {{specific_tests}}: Login tests on Chrome and Firefox.
Follow-up prompts
- How can I visualize these test results for better stakeholder communication?
- What tools can help track test result trends over time?
- Can you suggest methods for presenting these findings to non-technical stakeholders?