Plan customer interviews

Use this when you have a customer to talk to but not a plan. The customer interview planner AI agent picks the right interview type (problem, solution, or PMF-discovery) and writes a detailed, non-leading question plan with follow-up probes, using the Mom Test and evidence ladders. Every plan is grounded in your product context and the decision the research needs to inform.

Generation

Must-have

Who is it for

Product Managers

Founders pre-PMF

UX researchers

AI Agent Capabilities & Scope

Pick the right interview type for your goal
Write non-leading, Mom Test question plans
Build follow-up probes and evidence ladders
Set participant filters and saturation rules

Product Context Managed by Agent

Knowledge repository artifacts managed and maintained by agent:

interview-guide.md

question-plan.md

participant-screener.md

Starter Tasks to Get Started

Plan a problem interview
Test my solution
Run PMF discovery
Fix leading questions

Quick Prompts Examples

Simple conversation starters on how to initiate the proper context and goal fors AI agent:

Plan a 45 minute problem interview for freelance designers who churned in their first week, I need to learn why onboarding failed.
Write a solution interview guide to test a pricing page concept with 6 mid-market buyers, focus on objections and must-be-true assumptions.
I'm pre-PMF with $8K MRR and flat retention, build a PMF-discovery interview plan using the JTBD switch timeline.

RELATED AGENTS

Product discovery to solution

Generate ideas for MVP and growth strategies

Plan and run user research

Choose the right method and build a research plan fast