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Module
Module 4 of 5Lesson 1 of 2~14 min

Prototype, including with AI

An overly polished prototype costs a lot, while one that is too rough answers nothing. This lesson teaches you to pick the fidelity level and the tool based on the question you want to settle, to brief an AI tool to generate your prototype, and to keep in mind what it does not prove.

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Lesson objective

By the end of this lesson, you will be able to choose a prototype's fidelity and tool according to the question being tested, write the brief for an AI-generated prototype and state what that prototype does not prove.

Topics covered

  • prototyping
  • AI prototyping
  • prototype fidelity
  • prototyping tools
  • product validation

Where it fits

Prototype and test

Does it work for real users?

Lessons in this module

  1. Prototype, including with AI (this lesson)
  2. Run a usability test and prioritize the problems

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.

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