Prioritise a feature backlog with RICE scoring plus the judgment layer the framework misses — strategic fit, dependencies, and what the scores are hiding.
Prioritise this backlog: {{features}} (list with whatever I know: who wants it, effort guesses, evidence).
Score each on RICE (Reach, Impact, Confidence, Effort) with reasoning shown — and mark low-confidence guesses honestly rather than false-precision numbers. Then the judgment layer the formula misses: strategic fit (does it compound toward where we're going or just please someone?), dependency ordering, and the portfolio balance check (all quick wins and no bets = slow death; all bets = cash death). Output: the ranked list, the 3 ranking decisions most sensitive to a guess (validate these first), and what the scores are hiding — the item that scores badly but you'd argue for anyway, with the argument.
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