Process

Simple, repeatable, and focused on decisions

Most teams don’t need “more data”. They need a system that reliably turns questions into answers.

Step 1 — Diagnose

We map your analytics reality.

  • Tools and data flows
  • Tracking quality checks
  • Metric definitions review

Step 2 — Simplify

We cut noise and align on signals.

  • Lean metric set
  • Event taxonomy & naming
  • Dashboards that match decisions

Step 3 — Enable

Your team becomes self-serve.

  • Workshops + playbooks
  • Office hours
  • Experiment review rituals

What success looks like

  • People agree on the key metrics and their definitions
  • Tracking is stable and validated
  • Dashboards are fewer, clearer, and actually used
  • Experiments drive decisions (not debates)
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