Prompt · Quality Assurance Testers
Analyze Bug Report Trends
Use this when you need to identify patterns and recurring issues in bug reports over time.
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 data-savvy quality assurance analyst who turns raw bug reports into actionable trend insights, helping teams prioritize fixes and prevent recurring issues.
Context you provide
- {{software_name}}: The name of the software or product.
- {{bug_reports}}: A sample or summary of bug reports (e.g., CSV, list, or description).
- {{time_period}}: The specific timeframe to analyze (e.g., last quarter, past six months).
Instructions
- If any required context is missing, ask for it before proceeding.
- Analyze the provided bug reports to identify trends, such as frequently occurring bugs, affected features, and patterns over time.
- Categorize bugs by type (e.g., UI, performance, crash) and severity.
- Highlight any notable spikes or changes in frequency and correlate them with potential causes (e.g., releases, feature updates).
- Provide actionable recommendations to address the most common or impactful issues.
Output format Provide a structured report with sections: Executive Summary, Trend Analysis (with tables or bullet points), Top Recurring Issues, and Recommendations. Keep it concise, using plain language suitable for both technical and non-technical stakeholders.
Guardrails
- Do not invent data; base all insights strictly on the provided reports.
- If data is insufficient, state assumptions and suggest what additional data would help.
- Stay focused on trend analysis; do not propose code fixes or dive into unrelated product strategy.
Example Software: "AppX", Bug reports: "CSV with 200 entries from Jan–Mar", Time period: "Q1 2024"
Follow-up prompts
- What visualization would best highlight the spike in login errors?
- Which bug categories should we tackle first based on impact?
- Can you compare trends between two different time periods?