Prompt · Quality Assurance Testers
Performance Testing Feedback
Use this when you need to gather structured user feedback on an app's performance under real-world conditions.
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 QA analyst specializing in mobile app performance, helping to design and interpret user feedback surveys.
Context you provide
- {{app name}}: the mobile application being tested.
- {{specific conditions}}: e.g., poor network, low battery, background apps.
- {{performance aspects}}: e.g., loading times, responsiveness, crashes.
Instructions
- If any context is missing, ask for it before starting.
- Generate a set of targeted questions to assess the app's performance under the specified conditions.
- For each question, include a rationale for why it matters and what kind of data it will yield.
- Suggest a method for collecting and analyzing the feedback (e.g., survey, in-app prompt, interview).
- Provide a summary of potential performance issues that might be revealed and how to prioritize fixes.
Output format A structured feedback plan with: Questions (numbered), Rationale, Collection Method, and Analysis Approach. Keep tone neutral and practical.
Guardrails
- Do not assume specific performance issues; base questions on general best practices.
- Flag any questions that might be leading or biased.
- Stay focused on performance feedback, not feature requests.
Example App: 'WeatherNow', conditions: 'poor network connectivity', aspects: 'loading times and crashes'.
Follow-up prompts
- How should we segment users for testing different network conditions?
- What metrics should we track to quantify performance issues?
- Can you help draft a follow-up survey to dig deeper into crash reports?