The RICE framework is a prioritization methodology created by Intercom that produces a score by combining four factors: Reach, Impact, Confidence, and Effort. It divides the product of the first three by the estimated effort in person-months, so it can compare unrelated initiatives using one objective number.
Two years in, AI helps product discovery in one place above all: synthesizing interview transcripts. Generating hypotheses without real data has failed repeatedly, and simulated users produce systematic false positives about adoption. The practices that stick keep a human doing the critical analysis, because AI amplifies a good process and speeds a bad one toward failure.
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