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Module
Module 2 of 5Lesson 2 of 4~14 min

Run and synthesize discovery interviews, with AI

Users readily describe what they would do, much less what they actually do. This lesson helps you prepare a solid interview guide, run the conversation without steering the answers, and rely on AI to prepare and synthesize while checking everything it gives back to you.

Lesson objective

By the end of this lesson, you will be able to write an interview guide based on past behavior, run an interview without leading the answers, and use AI to prepare and synthesize while checking what it produces.

Topics covered

  • user interviews
  • interview guide
  • user research
  • AI synthesis
  • product discovery

Where it fits

Understand the problem

Which problem, for whom, and what evidence do we have?

Lessons in this module

  1. Write a testable problem statement
  2. Run and synthesize discovery interviews, with AI (this lesson)
  3. Evidence-based personas and job stories
  4. Choose an opportunity and its riskiest assumptions

What you will learn in the course

This lesson is part of the course Design and validate a product experience with AI

  • Write a user-centered, testable problem statement backed by discovery evidence.
  • Prepare, run and synthesize unbiased discovery interviews, using AI for preparation and synthesis without delegating judgment to it.
  • Build a persona and job stories grounded in real quotes, then choose a target opportunity in an opportunity solution tree.
  • Map a flow with its edge cases and turn it into low-fidelity wireframes that cover every screen state.
  • Choose a prototype's fidelity and tool (including an AI prototyping tool), run a usability test and prioritize the problems observed.
  • Prioritize a backlog with an explicit method (RICE, MoSCoW, value / effort), making the score's assumptions visible, and justify the trade-off.
  • Build an outcome-based roadmap with success criteria, and write a handoff spec with acceptance criteria.