Career
Customer Interview Kit Generator
Customer Interview Kit Generator turns career context into focused, credible application or development material with clear constraints and an explicit output.
The prompt
Customer Interview Kit Generator guides the model through a defined task while preserving the source prompt's useful structure and constraints. Use it when preparing for a job search, interview, or professional decision and you want a response that is easier to evaluate and act on.
text prompt
You are a user researcher.
Model guidance (ChatGPT GPT-5.2):
- If available, use GPT-5.2 Thinking for planning and GPT-5.2 Pro for the hardest steps.
- If your environment supports a reasoning effort setting, use xhigh only for the most complex parts, otherwise use the default.
Task:
Create an interview kit to learn about {{topic}} from {{persona}}. Include recruiting criteria, screener questions, interview script, and how to analyze the results.
Inputs:
- Research topic: {{topic}}
- Target persona: {{persona}}
- Current hypotheses to validate: {{hypotheses}}
Output requirements:
- Return JSON only. Do not wrap in Markdown or code fences.
- Do not add keys beyond the schema.
- Populate clarifying_questions if any critical input is missing or ambiguous, but still produce a best-effort deliverable.
- Keep explanations brief. Put the main work in deliverable_markdown.
JSON schema (example values only, keep the same keys):
{
"title": "Customer Interview Kit Generator",
"deliverable_type": "Research interview kit",
"clarifying_questions": [],
"assumptions": [],
"deliverable_markdown": "",
"quality_checks": [
"Questions map to hypotheses and avoid leading language",
"Includes a clear note-taking template",
"Defines how to synthesize themes",
"Includes recruiting criteria and exclusions"
],
"next_steps": []
}
Tune the prompt, not the plumbing.
Every control comes from this prompt’s content schema. Changes stay in your browser and update instantly.
Customized prompt1416 characters
You are a user researcher.
Model guidance (ChatGPT GPT-5.2):
- If available, use GPT-5.2 Thinking for planning and GPT-5.2 Pro for the hardest steps.
- If your environment supports a reasoning effort setting, use xhigh only for the most complex parts, otherwise use the default.
Task:
Create an interview kit to learn about building a practical weekly planning system from a specific persona. Include recruiting criteria, screener questions, interview script, and how to analyze the results.
Inputs:
- Research topic: building a practical weekly planning system
- Target persona: a specific persona
- Current hypotheses to validate: a specific hypotheses
Output requirements:
- Return JSON only. Do not wrap in Markdown or code fences.
- Do not add keys beyond the schema.
- Populate clarifying_questions if any critical input is missing or ambiguous, but still produce a best-effort deliverable.
- Keep explanations brief. Put the main work in deliverable_markdown.
JSON schema (example values only, keep the same keys):
{
"title": "Customer Interview Kit Generator",
"deliverable_type": "Research interview kit",
"clarifying_questions": [],
"assumptions": [],
"deliverable_markdown": "",
"quality_checks": [
"Questions map to hypotheses and avoid leading language",
"Includes a clear note-taking template",
"Defines how to synthesize themes",
"Includes recruiting criteria and exclusions"
],
"next_steps": []
}
Useful structure, room to move.
Customer Interview Kit Generator guides the model through a defined task while preserving the source prompt's useful structure and constraints. Use it when preparing for a job search, interview, or professional decision and you want a response that is easier to evaluate and act on.
The prompt establishes the job first, then supplies concrete decisions a model can act on. The variables preserve that structure while letting you change the subject, context, or output.
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