Score a candidate use case across six value dimensions and come out with one of four verdicts — build, buy, experiment, or kill — plus the rationale to defend it.
It covers value, feasibility, data readiness, risk, differentiation and time-to-value, scored to a build, buy, experiment or kill verdict. It is written for product managers and leads deciding where an AI budget should go.
Every branch states the trade-off that decided it, so the recommendation you end on comes with the reasoning attached — something you can paste into a design note or defend in a review.
Built by Tarek Atwan — twenty years in data and AI, four books, four-time Pluralsight Elite instructor, Fortune 500 engagements across eight countries. Consulting through Ensemble Methods. Source on GitHub.