growth-analysislisted

# Growth analysis Post-launch analysis of the funnel the studio already instruments. It is a reading, not a new data source: everything here comes from the schema in `docs/52-analytics.md`, and a metric with no event behind it is a request to `data-analyst`, never an estimate. ## The funnel, one definition each Define each stage **once**, in the report, and never redefine it between reports — a metric whose definition moves is worse than no metric because the trend is fiction: | Stage | Definition must state | |---|---| | Install | source, and whether re-installs count | | Activation | the single event that means "this user got the point", and by when | | Retention | D1 / D7 / D30, calendar or rolling — say which | | Referral | the event, and whether the invited user is attributed | | Revenue | gross or net of store commission, trial or paid | ## The rules that keep this honest - **Every number carries its denominator and its date range.** "Retention improved to 42%" is not a finding; "D7 retention on the 2026-07-01 cohort is 42% of 1,204 installs, versus 38% of 980 on 2026-06-01" is. - **Cohorts, never period totals**, for anything a user does over time. Period totals move when install volume moves and tell you nothing about the product. - **Correlation is labelled as correlation.** A release, a season, a store feature and a price change usually land in the same week. Name the confounders you cannot separate. - **A metric that cannot go down is not a metric.**