Early population · chapter 2
Four housings & weighted types
AFITMRR™ library
Teaching language and journeys — not a free ops kit. Calibration on your title is partnership work.
Start here
- Primer · seven lenses
- Early-population journey hub
- Combination glossary
- Contribution weight · volume vs KPI load
Journey chapters · read in order
- D0–D3 & time
- Four housings & weighted types
- Orange opportunity
- Green focus & adjacency
- Design meets needs
Method & care
Start with one pair that lights early: Attention × Frequency. Four housings — up×up, up×down, down×up, down×down — are not abstract quadrants. They are people-shaped, with illustrative weight on early population.
| Pair | Type | Plain read | Illustrative share |
|---|---|---|---|
↑A × ↑F | Content | Genuine interest — prospects to feed | ~24% |
↑A × ↓F | Difficulty? | Engaged, thin return — skill wall / challenge? | ~20% |
↓A × ↑F | Tech? | Returns, shallow focus — friction / device / load? | ~16% |
↓A × ↓F | Not their game | Honest miss — not your lasting pool | ~40% |
Weights are illustrative, not a universal scoreboard. The craft is title-specific: what “up” means on your events, and which housing you feed or cool first. Hypotheses stay hypotheses — difficulty and tech are questions, not verdicts — until product and live ops test them.
Not their game is an honest miss, not a moral failure of the player. The lasting pool of the service is built from the other housings and from later green ups — not from forcing every install into love.
See the weighted breakdown live in the scroll journey, then come back here for the plain table.
Continue the series
Scroll the full early-population journey, or partner when you want principle space on your real events.