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RICE Prioritization Worksheet

Table output Has example

Score ideas with transparent inputs.

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Score product ideas with RICE. Ideas: [IDEAS]. Reach data sources (users per quarter): [REACH_DATA]. Effort estimates in person-months: [EFFORT_ESTIMATES].

For each idea compute: Reach (people affected per quarter), Impact (0.25 minimal, 0.5 low, 1 medium, 2 high, 3 massive), Confidence (100, 80, 50 percent), Effort (person-months), and Score = (Reach x Impact x Confidence) / Effort. Show every calculation. Present a ranked table: Idea | Reach | Impact | Confidence | Effort | Score | Notes on the evidence behind each input.

Then critique the ranking: which inputs are guesses; sensitivity (how rank changes if Impact or Effort changes by one level); items that score low but are strategic or required (compliance); the dependencies that change order. Recommend the top five for the next quarter with justifications and the decisions that need a human judgment call. Warn that RICE is a conversation tool, not an answer. Do not invent data; mark guesses as such.

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See an example result (fictional data)
Idea A: saved filters. Reach 1,200 users a quarter, impact 1, confidence 80 percent, effort 2 person-months.
Score = (1,200 x 1 x 0.8) / 2 = 480.
Idea B: bulk import. Reach 300, impact 2, confidence 50 percent, effort 3.
Score = (300 x 2 x 0.5) / 3 = 100.
Idea C: dark mode. Reach 2,000, impact 0.25, confidence 80 percent, effort 1.
Score = (2,000 x 0.25 x 0.8) / 1 = 400.
Ranking: A 480, C 400, B 100.
Sensitivity: if effort for A is 3, score drops to 320 and C ranks first. Reach for B is a guess from sales calls; check usage data before deciding.

Illustrative only, made-up data. Your results will differ and must be reviewed.

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