Measure whether new users reach first value
Tie an onboarding change to one activation step, the event or database evidence behind it, and a target you can check after launch.
Skene maps tracking calls and database-backed steps, names gaps, and reviews tracking changes. Your team decides what to build or send from that evidence.
A completed tour is not the same as activation
The useful question is whether the user reached a meaningful product state, not whether a guide displayed.
A signup event exists, but the first-value step has no evidence.
A refactor renames the activation event while the onboarding UI still works.
A team changes the checklist and cannot tell whether time to value improved.
Teams act on incomplete history
When evidence is missing, a change in the report can look like a change in customer behavior.
- •Teams cannot tell whether a metric moved or its collection changed.
- •The people reviewing activation and time-to-value data spend time reconstructing what happened.
- •A later fix restores collection, not the missing historical period.
A dashboard cannot review the pull request that changed its input
Analytics and customer systems remain useful destinations for reports and workflows.
They do not replace a review of the tracking code before merge.
A schema shows what can be observed in the database; it does not prove that a code event fired.
Each evidence source must keep its own meaning.
Plan one activation change and preserve its evidence
Define the activation step, metric window and target before launch.
Use the Events inventory to separate detected code events, database-backed steps and gaps.
Review pull-request changes to activation tracking when PR reviews are enabled.
Run the plan check after launch and retain the earlier verdict in history.
Skene protects measurement; your team owns the response
Skene provides reviewable evidence and verdicts. It does not replace your analytics, messaging or customer-success systems.
Skene keeps it trustworthy
- •A lifecycle map grounded in repository and optional schema evidence.
- •An Events inventory that names detected evidence and missing tracking.
- •Pull-request review plus a separate deterministic plan-versus-scan check.
- •Measurement plans that compare a stated target with connected evidence.
You and your agent own
- •Defining the business outcome and the metric that represents it.
- •Choosing what product, messaging or customer action follows a finding.
- •Maintaining the analytics and delivery systems that consume the evidence.
Signals in
- →The tracking call for the activation event, with its source file.
- →A database-backed activation state when the schema exposes one.
- →Recent counts from the selected analytics or database measurement source.
- →Observed navigation and exits from Flows when its script is installed.
Outputs
- ←A readiness result naming missing activation evidence.
- ←A pull-request finding when activation tracking changes.
- ←Current, previous, delta and target for the checked metric.
- ←A verdict and next-version focus retained in check history.
A good fit for
- ✓Teams shipping product changes faster than they can audit tracking by hand.
- ✓Product, growth and customer teams that need to defend onboarding decisions.
- ✓Developers who want tracking findings in pull requests or coding-agent workflows.
Not a good fit for
- ×Teams looking for a replacement for their analytics dashboard, CRM or campaign tool.
- ×Teams expecting Skene to invent missing history after an event failed to fire.
- ×Teams that want automated customer interventions without human ownership.
Product
Current use cases
Related guide
Review the evidence behind onboarding
Run the free audit on a repository. Add read-only schema evidence when it helps, then enable pull-request reviews for ongoing tracking changes.