From a URL or Figma link to a friction report.
Describe what you want to test and who to test with. InsightLab generates a panel of synthetic users, walks them through your flow step by step, and returns a ranked friction report before anything ships.
Set up the study with a URL and an audience.
Start a conversation with the AI study planner. Tell it what page or Figma prototype to test, who the target users are, and what tasks they should attempt. No session logs or new instrumentation required.
Generate a panel of synthetic users from three archetypes.
InsightLab populates a panel of up to 16 synthetic agents, distributed across three built-in behavioral archetypes. Each archetype has a distinct motivation, patience level, and tolerance for friction.
The Scrappy Hacker
Price-sensitive, highly technical, and impatient. Wants self-serve and API access. Bails fast when a flow has unnecessary steps or unclear copy.
The Risk-Averse Scaler
Security and compliance-focused, methodical, and patient. Pushes through friction if the product feels trustworthy. Drops when something feels unsafe or unpolished.
The ROI Maximizer
Feature-hungry and focused on time-to-value. Moderate patience. Quits when the value of completing the next step is not obvious.
Synthetic users walk the flow, step by step.
Each synthetic user attempts every task in order. At each step they record one of three outcomes: continue (routine), hesitate (friction but proceed), or drop (a genuine dealbreaker). The simulation runs in the background and completes in under 6 minutes.
Each agent records why it hesitated or dropped in its own voice. Those first-person reasons become the evidence behind the friction report.
See exactly where users encounter friction.
The friction report scores each step of the flow, identifies where users stall or exit, and provides a concrete recommendation before you commit to shipping.
Primary drop at Account to payment: twins across all segments stalled on the unexplained company tax ID field. Newcomer segment abandoned at the highest rate. Recommendation: make the field optional or add inline guidance before launch.
Run your next feature past your users first.
We walk through your actual flows in a live demo session.