A framework for making tough decisions on your game project.
๐ญ. ๐ง๐ต๐ฒ ๐๐ฒ๐ฐ๐ถ๐๐ถ๐ผ๐ป ๐๐ฎ๐๐ฒ โข Iterate when the core loop works, but KPIs miss the mark. โข Pivot with a mechanic or audience mismatch. โข Only if market fit still seems plausible. โข Kill if fun, retention, and monetization are all flat. โข This is after multiple repeated tests.
๐ฎ. ๐ง๐ต๐ฒ ๐๐ฒ๐ฐ๐ถ๐๐ถ๐ผ๐ป ๐๐ผ๐ผ๐ฝ ๐ โข Capture: Ship your build, then log every single KPI. โข Analyze: Compare your metrics vs. market benchmarks. โข Hypothesize: Create one clear, testable fix per pain point. โข Execute: Run the test and get fresh data. โข Commit: Choose to Iterate, Pivot, or Kill based on evidence.
๐ฏ. ๐ง๐ต๐ฒ ๐ง๐ฟ๐ฎ๐ณ๐ณ๐ถ๐ฐ-๐๐ถ๐ด๐ต๐ ๐๐๐ถ๐ฑ๐ฒ ๐ฆ โข Green (Iterate): KPIs are steady, team energy is high. โข D1 > 35%, D7 > 10%. โข Yellow (Pivot): KPIs are mixed, team energy is medium. โข D1 > 30%, D7 > 7%. โข Red (Kill): KPIs are flat, team energy is low. โข D1 < 30%, D7 < 5%.
๐ฐ. ๐๐ฎ๐๐ ๐๐๐ถ๐ฑ๐ฒ๐ป๐ฐ๐ฒ ๐๐ต๐ฒ๐ฐ๐ธ๐น๐ถ๐๐ โ โข Is D1/D7 retention over 35% / 15%? โข Is average session length growing week-on-week? โข Does LTV beat CPI within 30-90 days? โข Do >70% of testers describe a clear “fun moment”?
๐ฑ. ๐๐ฒ๐ ๐ค๐๐ฒ๐๐๐ถ๐ผ๐ป๐ ๐๐ผ ๐๐๐ธ ๐ฌ๐ผ๐๐ฟ๐๐ฒ๐น๐ณ โ โข What single change could 10x the โaha!โ moment? โข Are we chasing sunk cost or genuine potential? โข Is our core loop sticky enough to retain players? โข Do we have the runway to test more hypotheses?