Overview
Use this PostHog funnel coverage map when a conversion or activation funnel looks important enough to act on, but the tracking behind it still needs a sanity check. The playbook compares the intended journey with PostHog funnel, path, and cohort evidence, then creates a tracker of missing stages, weak segments, and priority measurement fixes.
It helps growth and product teams avoid treating every visible drop-off as a conversion insight. Sometimes the problem is the page, offer, or onboarding step. Sometimes the problem is that the event definition is too broad, the segment property is missing, or the saved funnel no longer matches the product.
Why you should trust the funnel before optimizing it
Funnel analysis is only useful when each stage means what the team thinks it means. PostHog's funnels documentation shows how stage order, conversion windows, and breakdowns shape the story, which makes coverage a practical prerequisite for smart conversion work.
This playbook gives you the map before the meeting. It shows which funnel conclusions are reliable, which segments are too weak to read, and which instrumentation fixes should happen before the team starts rewriting onboarding, moving budget, or launching tests.
The benefit is focus. Instead of debating a chart, the team can separate three different jobs: repair the measurement, investigate real friction, and decide where a test is ready.
Step-by-step
- 1Confirm the funnel to evaluate, the primary conversion goal, the audience that matters most, and the decision the team needs to make next.
- 2Translate the journey into measurable stages, then define what counts as reliable coverage for each stage.
- 3Review PostHog funnel evidence for stage counts, conversion rates, drop-off points, time between steps, missing stages, and mismatched definitions.
- 4Check path and cohort evidence to see whether users actually move through the journey as modeled and whether important segments can be read cleanly.
- 5Build a coverage map that separates true conversion friction from measurement uncertainty, then rank fixes by decision impact.
- 6Summarize what the team can trust now, what needs tracking repair, and what conversion work should wait until the measurement is clearer.
Frequently asked questions
Is this a conversion audit or a tracking audit?
It is the bridge between the two. Juno reviews the funnel as a conversion path, but the output focuses on whether the measurement is strong enough to support conversion decisions.
What if we already have a saved PostHog funnel?
Juno uses the saved funnel as evidence, then compares it with the intended journey. The playbook can still flag missing stages, stale definitions, weak properties, and segments that cannot be trusted.
Which funnels are best for this playbook?
Use it for high-stakes funnels such as signup, onboarding, activation, trial conversion, upgrade intent, invitation, or feature adoption. It is less useful for one-off curiosity charts.
What does the final output include?
You get a structured coverage map plus a short readout. The map shows stage-by-stage evidence and priority fixes, while the readout explains which funnel conclusions are ready to use.
