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AI-FOR-PRODUCT-MANAGERS5 MIN READ

Pick the prototype when the model is not ready

Choose a prototype fidelity that answers a user-behavior question before model implementation.

Retail product team workspace with a product manager, ML engineer, and user researcher reviewing blank product mockups and sample product photos on a table, realistic office with cool neutral walls and bright task lighting, space on left side for overlay controls, no readable screens or documents, no text, words, letters, numerals, logos. A PM needs to learn whether merchandisers will trust and edit AI recommendations before the recommendation model is built. Options include waiting for the model, running a human-simulated clickable prototype, making a polished launch demo, or surveying stakeholders. The model is six weeks away; the user-behavior risk is…

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