Before
Drop-off is visible but cause is unclearAnalytics, page notes, support signals, and user feedback show friction but not the priority fix path.
- Funnel data
- Feedback
- Screens
New · New · Growth
Review funnel notes and metrics to identify conversion friction and fixes. DearClaw uses the provided context to produce a reviewable diagnosis ready for growth fixes with evidence, assumptions, open questions, and next actions.
USE CASE OUTCOME
Analytics, page notes, support signals, and user feedback show friction but not the priority fix path.
DearClaw creates a step-by-step diagnosis with likely causes, evidence, severity, fixes, and test ideas.
HOW IT RUNS

QUICK ANSWERS
Review funnel notes and metrics to identify conversion friction and fixes. DearClaw uses the provided context to produce a reviewable diagnosis ready for growth fixes with evidence, assumptions, open questions, and next actions.
Funnel Friction Diagnosis is for teams working on growth use cases in DearClaw.
Start with goal: Review funnel notes and metrics to identify conversion friction and fixes., material: Funnel notes, audience signals, experiments, and result: Diagnosis ready for growth fixes.
Funnel Friction Diagnosis produces Friction map, Severity, and Test ideas.
Start with funnel notes, audience signals, experiments plus the goal for this case. DearClaw organizes the context, highlights the important gaps, and turns it into a reviewable diagnosis ready for growth fixes.
It fits repeatable knowledge work when the user can provide useful source material and review the result before acting. It should not replace final judgment, approvals, or source-of-truth systems.
The related section links to nearby DearStore use cases that share audience, category, or output intent.