Related engagement
Analytics & KPI Framework
A decision-grade metric architecture spanning definitions, ownership, dependencies, review cadence, and action thresholds.
Explore the engagement →Topic 03 · Decision systems
Gaming expertise. Impact that travels.
Analytics & KPI.
More data does not automatically create better decisions. A useful analytics system makes definitions explicit, preserves cohort context, exposes dependencies, and tells a team when the evidence is mature enough to act. Gaming is the proving ground here; the same discipline applies to app, SaaS, MMP, and analytics-platform teams.
Diagnostic frame
Start with the questions behind the metric.
- Does the KPI model reflect real dependencies, or just a tidy hierarchy?
- Which dashboard signals are causal, lagging, or simply immature?
- Can two teams reproduce the same answer from the same definition?
Selected writing
Read the field notes
- Apr 2026 D—04 · Revenue 8 min
Your KPI tree is probably a graph
Why North Star frameworks quietly produce the wrong roadmap, and the cheap fix.
- May 2026 D—03 · Analytics 4 min
When Market Intelligence Becomes Infrastructure
As market intelligence consolidates, the advantage stops coming from having the tool. It comes from the internal intelligence you build around it.
- Jun 2026 D—03 · Analytics 7 min
More Data, Less Signal
More channels don't just add inventory — they dilute signal until you're reconciling data instead of making decisions.
- Apr 2026 D—03 · Analytics 10 min
The Maturity Illusion
Most teams don't lose money because their data is wrong. They lose it because they treat immature data as mature truth — and pivot before the numbers have finished baking.
- Dec 2025 D—03 · Analytics 6 min
Diligence checklists for ad-network acquisitions
What I check in a target's investment deck before reviewing anything else — the flags that decide if deeper diligence is worth the time.
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