Brook Street studio · est. 2018
Draw the week a user actually lives, then argue about the product.
Schema Flowgrid is a teaching studio for Lifecycle Analytics for Mobile Users. We train analysts and PMs to rebuild retention as a map of windows, not a single curve that flatters the board pack.
Notes from people who sat the lab
Full alumni pageI arrived with a beautiful activation dashboard and no idea why week-three paying users looked identical to week-three tourists. The Cohort Cartography worksheets forced us to split those groups before we touched SQL. The homework load is heavier than the marketing page admits, and I missed two live clinics. Still, the map we left with is the one our growth lead actually opens on Mondays.
★★★★☆
Useful if you already own an event taxonomy. Less magic if your logging is a mess — they say that up front in module two.
Programmes in the current term
All programmesFlagship · 11 weeks
Cohort Cartography
Rebuild retention as labelled windows, including the awkward ones your current board metric hides.
Short studio · 4 weeks
Activation Windows
Find the first 72 hours that actually predict a second week of use, without inventing a north-star overnight.
How the studio teaches
We grade maps, not slide polish.
Each cohort arrives with a live or archived mobile product. You leave with a documented schema: who is in the frame, which events are allowed to define a window, and which claims you are no longer willing to put in a QBR.
The method page walks through the same sequence we use with GB-based product teams who cannot wait for a perfect warehouse.
What changes after a term
- Windows instead of averages Day-N retention is treated as a family of windows with owners, not a single percentage that moves when you change the timezone filter.
- Event discipline You learn which properties may define a cohort and which ones merely decorate a chart. That stops “power user” from meaning five different things in Slack.
- A written limitation Every map we accept includes a paragraph on what the data cannot see — store reviews, offline usage, family-shared devices.
From the journal
All essays12 Mar 2026
Retention debt after a cheerful onboarding
Why a high day-1 completion rate can hide a product that never earned a second Tuesday.
2 Feb 2026
Session length is a lagging metric
Long sessions can mean confusion. We show a healthier pair of measures for consumer apps.
Bring a messy event table. Leave with a map you can defend.
If you are hiring for Lifecycle Analytics for Mobile Users and need a shared language across product and data, start with the fee sheet or write to the studio.