Signal inventory
We list every behavioural event your application already emits, who owns it, and which product questions it can actually answer.
enterprisedataflow
Application analytics work fails when teams jump to dashboards before agreeing on definitions. This sequence keeps engineering, product, and leadership aligned from the first inventory through handoff.
Engagement arc
Every paid engagement follows this arc. Scope and depth scale with the service you choose; the order does not.
We list every behavioural event your application already emits, who owns it, and which product questions it can actually answer.
Activation, conversion, and retention get written definitions your teams can cite. Ambiguous metrics are retired or rewritten.
Engineering receives a prioritised backlog, naming rules, and property contracts—not a vague request to “add more tracking.”
Dashboards and funnel views are built for the decisions your week actually contains, with sources and formulas visible.
You keep the system. We leave documentation, a review cadence, and optional office hours so numbers stay honest after we leave.
What you leave with
Expect a written event dictionary, metric definitions, prioritised backlog, and dashboard sources—not only a slide deck. We design deliverables to live beside your code and product docs.
Share a short description of your application and where numbers currently disagree. We will suggest the lightest engagement that fixes the root issue.