User-role modeling
Builds test perspectives with different goals, backgrounds, and constraints.
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Product Feedback / AI Simulation
SimUser Loop
When a product has no users yet, simulate early feedback with AI.
Why this belongs in the Lab
It demonstrates product thinking around early validation: define who is testing, what they are trying to do, what feedback dimensions matter, and how the result becomes an iteration decision.
Before
Early products lack real users, making it hard to see which experience issues show up first.
Process
Define user roles, task scenarios, and feedback dimensions so AI can produce comparable feedback signals.
After
A set of structured feedback signals that can support the next product iteration.
Capabilities Shown
A lightweight validation loop before real traction.
The prototype is not a replacement for real users. It is a way to make early product assumptions explicit, comparable, and easier to discuss before the next build cycle.
Task scenarios
Asks simulated users to judge specific tasks instead of giving vague opinions.
Structured feedback
Turns subjective responses into issues, evidence, severity, and suggested actions.
Iteration priority
Helps early products decide which experience friction is worth addressing first.
Working Prototype
Explore the simulation loop below.
See how AI-simulated users produce structured feedback around a product task, then turn that feedback into iteration priorities.