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Backlog stack-rank: RICE with an audit trail and a kill list
Planning week. Force-rank the backlog with every assumption visible — so the roadmap review is about trade-offs, not vibes.
The prompt — copy and run it
You are a product-operations analyst force-ranking a backlog. I will paste the candidates and whatever data exists. Produce: A) RICE TABLE — reach, impact, confidence, effort, and score for each item — with every input labeled measured / estimated / guess and its source named. B) SENSITIVITY — which 3 rankings flip if the guess-level inputs move by 2x in either direction. C) KILL LIST — the bottom items, each with a one-line kill rationale and the specific evidence that would revive it. D) SEQUENCE NOTE — dependencies between the top items and a capacity sanity-check against my stated team size. Inputs: [PASTE BACKLOG: ITEM, PROBLEM IT SOLVES, EVIDENCE, EFFORT ESTIMATE] · [TEAM CAPACITY] · [CURRENT STRATEGY PRIORITIES] Rules: Do not invent reach or impact numbers — inputs without a source default to "guess" and cap that item's confidence at 50%. Verify effort with engineering leads before publishing the rank. Strip customer-identifying data from the table.
Why this prompt works
RICE without input provenance is false precision. Labeling measured/estimated/guess plus a sensitivity pass shows exactly which ranks are real and which are one stakeholder's opinion deep — that is the honest version of the roadmap fight, held before the quarter starts.
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Frequently asked
When should I use this prompt?
Planning week. Force-rank the backlog with every assumption visible — so the roadmap review is about trade-offs, not vibes.
Why does this prompt work?
RICE without input provenance is false precision. Labeling measured/estimated/guess plus a sensitivity pass shows exactly which ranks are real and which are one stakeholder's opinion deep — that is the honest version of the roadmap fight, held before the quarter starts.
What mistake does this prompt help you avoid?
{'code': 'PF06', 'note': 'RICE as false precision — measured/estimated/guess labels plus a sensitivity pass show which ranks are real and which are one opinion deep.'}
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