Give customer teams evidence behind account-health decisions
Keep product-usage evidence inspectable without pretending Skene is a health-score or customer-success platform.
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 health score inherits every gap in its inputs
A weighted score can be carefully configured and still mislead when a product event disappeared during a release.
An adoption score falls because tracking changed, not because usage changed.
A database state and a code event are treated as the same proof.
A customer team receives a risk flag without a source location to inspect.
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 adoption and account-health 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.
Protect the product evidence feeding customer decisions
Map adoption steps to code events and database-backed evidence.
Name untracked steps before they become inputs to a score or playbook.
Review tracking changes on the pull request while the missing history can still be prevented.
Keep intervention and account judgment with the customer-success team.
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
- →Feature-adoption events found in the linked repository.
- →Account or workspace states visible in the connected schema.
- →Recent event counts from PostHog, Mixpanel or the analytics destination.
- →The outcome and target the customer team wants to monitor.
Outputs
- ←An Events inventory with file and table locations.
- ←A readiness result for the adoption evidence a plan requires.
- ←A post-launch metric verdict, not an automated customer action.
- ←Specific tracking findings for engineering review.
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 customer-success 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 customer success
Run the free audit on a repository. Add read-only schema evidence when it helps, then enable pull-request reviews for ongoing tracking changes.