Overview
Use this PostHog event coverage backfill plan when the team needs to know whether product analytics can actually answer the questions being asked of it. The playbook inventories live events and properties, compares them with a conversion or product journey, and turns the gaps into a prioritized tracker and readout.
It is built for growth, product marketing, and analytics teams that have enough tracking to feel busy, but not enough confidence to trust every dashboard. The output helps you decide what to instrument next, what to clean up, and where historical backfill may be worth the effort.
Why you should close event coverage gaps
Weak event coverage creates quiet reporting debt. A funnel can look healthy because a stage is missing, a segment can disappear because a property was never attached, and a campaign can look unmeasurable because product events do not connect to the journey.
PostHog's product analytics docs frame events as the core record of user behavior, which is why a coverage audit should start with the tracking layer itself rather than a dashboard screenshot. See PostHog's overview of product analytics for the underlying model this playbook builds on.
The value is not a prettier taxonomy. It is a practical answer to which reports are safe to use, which measurement gaps block decisions, and which instrumentation fixes deserve attention before the next campaign, onboarding change, or experiment.
Step-by-step
- 1Confirm the journey or business question to audit, such as signup, activation, trial conversion, feature adoption, or upgrade intent.
- 2Review active PostHog events, event volume, naming patterns, and property coverage for the agreed lookback window.
- 3Map the target journey into required milestones, then mark each stage as covered, partially covered, missing, inconsistent, or blocked by weak properties.
- 4Prioritize each issue by decision impact, reporting risk, complexity, and whether historical backfill is realistic.
- 5Create a tracker and short readout that separate quick wins, high-impact instrumentation fixes, naming cleanup, property gaps, and backfill candidates.
Frequently asked questions
What counts as an event coverage gap?
Any missing, inconsistent, or incomplete tracking that stops the team from answering a real product or marketing question. That can mean a missing milestone event, a property that only appears sometimes, duplicate event names, or an event that fires but cannot be segmented usefully.
Do I need a formal tracking plan first?
No. If you have one, Juno uses it as the comparison point. If not, Juno can infer a lightweight journey from the product context and ask you to confirm the assumptions before building the tracker.
When should I run this playbook?
Run it before relying on PostHog for a campaign readout, experiment, onboarding review, or lifecycle analysis. Monthly is a useful cadence for teams changing product surfaces quickly.
What does the final output look like?
You get a structured coverage tracker plus a concise readout. The tracker gives the team the working list, while the readout explains the risks, quick wins, and priority fixes in plain language.
