Tool · synthetic data

Practice populations before the warehouse is ready

We like working with principles — especially AFITMRR™. Live data often arrives late, incomplete, or politically tangled. Teams still need tables that force the right questions: who installs, who returns, who pays, who fades at D7?

The generator builds synthetic player lifecycle data so you can rehearse those questions — and principle-led segments — without waiting on a clean warehouse. Simulated rows for practice; useful when the craft is the habit, not the extract.

What you can generate

Genre and population feel shift the shape of the set. The point is muscle: reading populations the way you intend to run them live.

Same spine, variable depth

On a live title we use the same principles to work your data and keep operating that way — event maps, segments, decision tables, careful aggregation — as deep as you want to understand populations and preferences. Synthetic practice is the rehearsal room; live partnership is the stage.

Further reading: how AFITMRR™ grouping happened, how we select segments, data conscientiousness, Measure · Retain · Monetise.

Preview and download

Preview free. CSV unlock with work email for the synthetic practice file.

Generate a synthetic set

Rehearse principle-led population thinking — then take it as deep as your title needs.

Authorship. This page is original writing of Yardstick Games Private Limited (Paul Dutta, Founder). Where AFITMRR™ appears, it refers to Yardstick’s player-value framework — a trade mark of Yardstick Games Private Limited. © Yardstick Games Private Limited. All rights reserved.