general user research template risk: low
Community Research Interview Questions Generator
The prompt asks the model to create a list of interview questions for researching a specified topic within a specified community.
PROMPT
Create a list of interview questions for researching ${topic} in ${community}. INPUTS
- topic REQUIRED
-
The subject area to research
e.g. AI ethics
- community REQUIRED
-
The group or forum for research
e.g. Reddit's r/MachineLearning
EXPECTED OUTPUT
- Format
- bullet_list
- Schema
- bullet_list
SUCCESS CRITERIA
- Create a list of relevant interview questions
- Tailor questions to researching the specified topic in the specified community
FAILURE MODES
- May generate generic or irrelevant questions
- May not focus on research-appropriate questions
- List length may be inappropriate
CAVEATS
- Dependencies
-
- Requires values for ${topic} placeholder
- Requires values for ${community} placeholder
- Missing context
-
- Desired number of questions.
- Output format (e.g., numbered list).
- Key research objectives or areas to cover.
- Target interviewees (e.g., experts, general members).
- Ambiguities
-
- Does not specify the number of questions.
- Does not specify the type or style of questions (e.g., open-ended, behavioral).
- Does not specify output format.
QUALITY
- OVERALL
- 0.70
- CLARITY
- 0.90
- SPECIFICITY
- 0.60
- REUSABILITY
- 0.90
- COMPLETENESS
- 0.50
IMPROVEMENT SUGGESTIONS
- Add 'Generate 10-15 open-ended interview questions' to specify quantity and style.
- Include 'Format as a bulleted or numbered list with brief explanations' for output structure.
- Append 'Focus on key aspects like experiences, challenges, and recommendations related to ${topic}' for guidance.
- Specify 'Tailored for ${community} members or experts' to clarify audience.
USAGE
Copy the prompt above and paste it into your AI of choice — Claude, ChatGPT, Gemini, or anywhere else you're working. Replace any placeholder sections with your own context, then ask for the output.
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