Reading Product Signal
Rebuild a defensible reading of activation, retention, and one revenue event. Live reviews twice a week, with a Gulworthy table in week five.
Open the full notesProgrammes, not catalogues of buttons.
Each desk is built around a decision you already have to make. We teach App Analytics as a writing problem first: a claim, a window, a population, and a refusal. Tools appear later, and only as needed.
Retention Cartography
Draw retention as a map of first-week behaviours rather than a single line that hides the tired cohort. Suited to subscription and utility apps with at least ninety days of history.
Next intake listed on request. This desk does not have a public syllabus page yet.
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Store Page Forensics
Treat listing conversion, custom store pages, and review velocity as a product surface. We work through impression-to-install math without pretending the store algorithm is a colleague.
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Experiment Hygiene
For teams that already ship tests and still argue about the result. Peeking, overlapping exposures, and holdouts that quietly received the treatment.
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Revenue Leak Mapping
Follow a pound from impression to renewal. Locate where trial conversions stall, where tax and store fees are misread, and where a “successful” paywall still loses the second month.
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The Signal Desk
Our in-house reading method, offered as a public page for teams that cannot join a cohort this season. Use it as a brief, then write to us if you want it supervised.
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