PM Product Analytics
(2026 Edition)
5 capabilities and 5 practices for analytics-fluent PMs.
Build Analytics PM Skills — Free →5 Capabilities
Event taxonomy design — consistent, future-proof naming conventions
Funnel and cohort analysis — self-serve, not analyst-dependent
SQL — enough to answer your own questions without waiting
Causal reasoning — distinguish correlation from cause
Dashboard design — fewer, better dashboards beat more
5 Practices
Instrument before ship — not after, not maybe later
Keep a data dictionary — definitions decay without one
Review cohorts monthly — retention drift is a leading indicator
Challenge metric definitions quarterly — 'active user' ages fast
Pair with analysts for complex work — don't try to do their job solo
FAQ
How SQL-proficient should PMs be?
Enough to write joins, aggregations, and window functions. Enough to answer 'how many active users did X last week?' without asking an analyst. Not enough to replace analysts for complex analyses. The bar has risen over the last five years — PMs who can't write SQL in 2026 are at a clear disadvantage.