Analytics & KPI Framework.
A complete overhaul of your product telemetry and event tracking schema. We clean up pipeline pollution, eliminate vanity metric noise, and build a decision-grade KPI framework that matches your operational rituals.
Duration 6 weeks
Engagement Shape Diagnostic Sprint / Advisory
Target Partner BI leads, analytics heads, and product operators seeking reliable, decision-ready data stacks.
Most product teams do not suffer from a lack of data; they suffer from data pollution. Having dozens of custom dashboards is useless if your team doesn’t trust the underlying queries or doesn’t know which metrics actually drive value. We build measurement systems that drive decisions.
Core Problems We Diagnose
- Event Taxonomy Pollution: Cleaning up redundant, broken, or undocumented event logs that break downstream reporting.
- Vanity Metric Traps: Shifting focus from superficial counts (sessions, screen-views) to cohort-based retention and decay.
- Pipeline Discrepancies: Auditing discrepancies between client-side trackers, MMPs, ad network portals, and your internal database.
- Dashboard Fatigue: Condensing massive, unused dashboard suites into single-page operational views.
The Deliverable Checklist
- The Event Dictionary: A unified, documented event tracking taxonomy that developers can easily maintain.
- KPI Hierarchy Map: A decision-grade tree linking low-level product events directly to top-line revenue drivers.
- Data Pipeline Audit: A detailed review identifying synchronization bottlenecks and leakage points in your analytics stack.