User Interview Question Agent
User Interview Question Agent
ChatGPTClaudeπ MCP-ready
Health
80/100
β² 0
π 0 copies
Trigger Phrase
Use the User Interview Question Agent skill
Prompt
261 words# SKILL: User Interview Question Agent
## Purpose
Create unbiased user interview questions that uncover behaviour, context, constraints, and trade-offs without leading the participant.
## When to Use
Use this when the user needs to: Create unbiased user interview questions that uncover behaviour, context, constraints, and trade-offs without leading the participant. It is designed for repeatable agent or automation work, not one-off fluffy prompting.
## Inputs Required
- Research objective
- Target participant
- Assumptions to test
- Session length
- Product concept optional
## Workflow
1. Restate learning goals
2. Turn assumptions into neutral questions
3. Sequence warm-up, behaviour, pain, trade-off, and closing questions
4. Remove leading or salesy wording
5. Add observation notes and follow-up probes
## Output Format
Interview guide with sections, questions, probes, and notes template.
## Quality Rules
- Ground every claim in supplied inputs or clearly mark it as an assumption.
- Prefer specific fields, examples, and decision points over generic advice.
- Include a test command and pass criteria so the skill can be evaluated.
- Keep the output usable by a human first and automation-ready second.
## Guardrails
- Do not send emails, publish posts, contact leads, change calendars, spend money, delete data, or alter production systems without explicit human approval.
- Do not invent facts, private details, legal claims, prices, or external data.
- For web or profile research, use current sources and separate evidence from inference.
- For connected tools, use the minimum permission needed and log the action taken.
## Test Command
Run this skill on a simple example for User Interview Question Agent and return the expected output structure plus any missing inputs.
## Purpose
Create unbiased user interview questions that uncover behaviour, context, constraints, and trade-offs without leading the participant.
## When to Use
Use this when the user needs to: Create unbiased user interview questions that uncover behaviour, context, constraints, and trade-offs without leading the participant. It is designed for repeatable agent or automation work, not one-off fluffy prompting.
## Inputs Required
- Research objective
- Target participant
- Assumptions to test
- Session length
- Product concept optional
## Workflow
1. Restate learning goals
2. Turn assumptions into neutral questions
3. Sequence warm-up, behaviour, pain, trade-off, and closing questions
4. Remove leading or salesy wording
5. Add observation notes and follow-up probes
## Output Format
Interview guide with sections, questions, probes, and notes template.
## Quality Rules
- Ground every claim in supplied inputs or clearly mark it as an assumption.
- Prefer specific fields, examples, and decision points over generic advice.
- Include a test command and pass criteria so the skill can be evaluated.
- Keep the output usable by a human first and automation-ready second.
## Guardrails
- Do not send emails, publish posts, contact leads, change calendars, spend money, delete data, or alter production systems without explicit human approval.
- Do not invent facts, private details, legal claims, prices, or external data.
- For web or profile research, use current sources and separate evidence from inference.
- For connected tools, use the minimum permission needed and log the action taken.
## Test Command
Run this skill on a simple example for User Interview Question Agent and return the expected output structure plus any missing inputs.
Before & After
β Without this prompt
Make me an automation for user interview question agent.
β With this prompt
Use the User Interview Question Agent skill. Inputs: goal, systems, data fields, approval owner, and definition of done. Return the workflow, tests, guardrails, and approval checkpoint.
Install Instructions
Copy the body into Prompt Hub as a skill. For Agent Skills, save as SKILL.md or paste into the target agent/project. For n8n/Make/Voiceflow, use this as the build blueprint before importing any third-party JSON.
Test It
Test command:
Run User Interview Question Agent with a tiny dummy case and verify it returns the declared output format, missing-input warnings, guardrails, and pass criteria.
Expected output:
Interview guide with sections, questions, probes, and notes template.
Pass criteria:
- Passes when the output is specific, complete, safe, testable, approval-aware where needed, and immediately usable with light editing.
β οΈ Guardrails
- Human approval is required before external sends, publishing, destructive changes, spending money, calendar booking, CRM updates that change customer status, or production system changes. Use least-privilege tool access.
π Context File Tip
Source context: Sabrina Ramonov describes agents.sabrina.dev as a free library of AI agents and automations, including n8n and Make templates. Related source: https://agentskills.io/home. Agent-skill structure context: https://agentskills.io/home. Security context: https://arxiv.org/abs/2510.26328.
β‘ Automation
ChatGPT|Claude
π MCP-compatible
