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deanpeters/recommendation-canvas

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About deanpeters/recommendation-canvas

D

deanpeters/recommendation-canvas

Document AI-powered product recommendations

recommendation-canvas is a skill that evaluates an AI product idea and documents a recommendation for stakeholders. It works through a structured canvas that assesses business outcomes, customer outcomes, problem framing, solution hypotheses, positioning, risks and the justification for the value. The purpose is a defensible recommendation, especially for AI-powered features that carry more uncertainty and risk than conventional features. It is useful for deciding whether an AI product idea deserves real investment, for surfacing the risks and hypotheses behind an AI feature request, and for comparing AI solution options on outcomes rather than on novelty. Example requests include a leader asking for an AI feature that needs evaluating before anyone commits to build it, and a case with three AI solution options that need comparing on outcomes and risk. You pass the AI product idea as the argument. The estimated time is 30 to 45 minutes, and the skill belongs to the validation and experiments theme of the product-manager-skills repository on GitHub.

View deanpeters/recommendation-canvasAll AI Skills apps
Price
Free
Made by
deanpeters
Category
AI Skills
Website
github.com/deanpeters/product-manager-skills/recommendation-canvas