Context
Use this when teams need a clear view of where conversion losses happen and what to fix first.
Procedure
- Map funnel stages and baseline conversion by source/segment.
- Identify largest absolute and relative drop-offs.
- Gather qualitative evidence for root-cause hypotheses.
- Prioritize fixes by expected revenue impact and effort.
- Attach instrumentation plan for post-fix verification.
Output Format
# Funnel Audit Report
## Funnel Snapshot
| Stage | Conversion % | Volume | Drop-off % |
| ----- | ------------ | ------ | ---------- |
| | | | |
## Diagnosed Leaks
1. Leak:
Root cause:
Evidence:
Estimated impact:
## Priority Fix Plan
| Fix | Expected Impact | Effort | Owner | Timeline |
| --- | --------------- | ------ | ----- | -------- |
| | | | | |
QA Rubric (scored)
- Quantification quality (0-5): leaks measured with reliable data.
- Diagnostic quality (0-5): root causes supported by evidence.
- Prioritization quality (0-5): effort/impact tradeoff is rational.
- Execution quality (0-5): plan has clear owners and timing.
Examples (good/bad)
- Good: “Signup-to-activation leak traced to onboarding step friction from session data and error logs.”
- Bad: “Low conversion probably due to weak messaging, no supporting data.”
Variants
- PLG funnel variant with activation depth metrics.
- Sales-assisted funnel variant with MQL-to-SQL conversion mapping.