Score an AI Use Case With RICE
Calculate and interpret a RICE score for an AI use case candidate.
A team is deciding whether 'customer insight summarization' should be the first AI discovery sprint. RICE = (Reach x Impact x Confidence) / Effort. Confidence should punish weak evidence, not decorate optimistic guesses. The common trap is giving every AI idea high impact and high confidence because the demo sounds plausible. That makes the formula perform certainty instead of revealing uncertainty. Before Customer insight AI feels strategic, so it gets the discovery slot. After Customer insight AI scores 15 because confidence is weak; support-tagging scores 22 because evidence and workflow are clearer. Reach 60 PMs and marketers would use summaries…
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