Friction Detection
Find the exact step where people give up.
Intent records every point where a simulated user stalls, backtracks or leaves, then ranks them by impact so your team fixes the costliest problem first.
Illustrative example, not a customer result.
Detection
Stalls and drop-offs, caught as they happen.
Long pauses, repeated clicks, abandoned forms and confusing labels are all captured with the page, the step and the reason the agent gave.
Ranking
Sorted by how many users each one stopped.
Not every problem matters equally. Intent orders friction by the share of simulated users it affected, so the list reads like a to-do list, not a report.
Explanation
Not just where, but why.
Each finding comes with the agent's reasoning and a replay, so designers and engineers can see the problem instead of arguing about it.
How findings are reported
Ranked
By simulated users affected
Explained
With reasoning and replay
Verifiable
Every session replayable