Keep a customer journey connected to current evidence
Combine the intended lifecycle map with observed paths without confusing either one for complete customer truth.
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 workshop map and an observed path answer different questions
The journey states what should happen. Flows shows captured page movement. Both need source labels and neither replaces research.
A journey step remains in the map after its tracking call disappears.
Observed navigation is mistaken for intent or satisfaction.
Different personas are inferred without enough evidence to support the split.
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 path and journey 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.
Keep planned steps and observed paths separate
Build the lifecycle map from repository and optional schema evidence.
Use Flows for captured page transitions, click targets and exit points.
Use Questions to state what each journey decision needs to answer.
Review tracking changes before they create an unobservable step.
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
- →Routes and tracking calls found in the repository.
- →Table relationships and state columns from the optional schema connection.
- →Observe interaction events retained for 90 days.
- →Team-defined questions attached to lifecycle steps.
Outputs
- ←A lifecycle canvas with source-backed steps.
- ←An Events inventory naming detected evidence and gaps.
- ←Observed page nodes and weighted transitions in Flows.
- ←Questions whose required events are visible or missing.
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 journey 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.
Review the evidence behind customer journeys
Run the free audit on a repository. Add read-only schema evidence when it helps, then enable pull-request reviews for ongoing tracking changes.