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rice

RICE优先级评分通过范围、影响、信心和努力来评估举措。用于功能优先级排序、路线图规划或客观比较举措时。

person作者: jakexiaohubgithub

RICE Prioritization Scoring

Score and rank initiatives using Reach, Impact, Confidence, and Effort to make prioritization decisions more objective.

Instructions

For each initiative, estimate the four RICE factors, calculate the score, and rank them. Be explicit about assumptions behind each estimate.

Output Format

Context What are we prioritizing? What's the time horizon for Reach?

Factor Definitions

  • Reach: [Define for this context, e.g., "users affected per quarter"]
  • Impact: [Define for this context, e.g., "effect on conversion rate"]
  • Effort: [Define unit, e.g., "engineer-weeks"]

Scoring Table

| Initiative | Reach | Impact | Confidence | Effort | RICE Score | |------------|-------|--------|------------|--------|------------| | [Name A] | [#] | [0.25-3] | [%] | [#] | [calculated] | | [Name B] | [#] | [0.25-3] | [%] | [#] | [calculated] | | [Name C] | [#] | [0.25-3] | [%] | [#] | [calculated] |

Ranked Results

  1. [Highest score] — RICE: X
  2. [Second] — RICE: X
  3. [Third] — RICE: X

Detailed Breakdown

For each initiative:

[Initiative Name]

  • Reach: [X] — [Assumption: how did you estimate this?]
  • Impact: [X] — [Reasoning for impact level]
  • Confidence: [X%] — [What would increase confidence?]
  • Effort: [X] — [What's included in this estimate?]
  • RICE Score: (R × I × C) / E = [score]

Sensitivity Analysis Which scores would change significantly if assumptions are wrong?

Recommendation Based on the scores and analysis:

[What to prioritize and why, including any caveats]

What RICE Doesn't Capture

  • Strategic alignment
  • Dependencies
  • Team capability gaps
  • Technical risk

Scoring Guide

Impact Scale | Score | Meaning | |-------|---------| | 3 | Massive — core value prop | | 2 | High — significant improvement | | 1 | Medium — noticeable improvement | | 0.5 | Low — minor enhancement | | 0.25 | Minimal — nice to have |

Confidence Scale | Score | Meaning | |-------|---------| | 100% | High — have data | | 80% | Medium — reasonable estimate | | 50% | Low — mostly guessing |

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