Use when the user wants to audit a user journey, audit a signup/onboarding/checkout flow, do a UX audit, find the friction in a funnel, understand why users are dropping off or where they are being lost, or improve conversion in a web app — any diagnostic review of a multi-step, in-product flow. Use it whenever the user mentions drop-off, funnels, session replay, heatmaps, activation, time-to-value, cart or checkout abandonment, onboarding friction, or rage clicks, or wants to know where users struggle and what to fix first, even if they don't say "audit." Produces a severity-ranked, prioritized, experiment-validated improvement backlog via evidence-first intake, five parallel specialist lenses, and synthesis.
94
100%
Does it follow best practices?
Impact
72%
1.26xAverage score across 3 eval scenarios
Passed
No known issues
Your startup's engineering lead has raised a concern: the support inbox has been filling up with tickets from users who say they never received a password-reset email, or that the link "just didn't work" when they clicked it. Three tickets arrived this week alone, and the engineering lead wants a clear, prioritized list of what to investigate and fix before the team's sprint planning session — which starts this afternoon.
You don't have analytics instrumented on this flow, no session replay tool is available, and there is no live staging URL you can walk through right now. What you do have are the three support tickets below and a description of the flow itself.
The flow (three steps from request to success):
/forgot-password, types their email address, and submits the form./reset-password?token=<value>, enters and confirms a new password, and submits. On success they are redirected to the login page.Support ticket summaries:
Produce a single file named triage_report.md in your working directory. The report should cover: