Prioritization & Scoring

ICE Scoring Model

Prioritizes features/experiments by Impact x Confidence x Ease

Rubric Type

multiplicative

Complexity

low

Extractor

strategy

Required Inputs

SolveRight's AI extractor automatically derives these data points from your decision description:

  • ✓impact
  • ✓confidence
  • ✓ease

Best For

Product ManagersFounders

How ICE Scoring Model Works in SolveRight

When you run a decision through SolveRight, ICE Scoring Model is one of up to 155 frameworks that analyze your options simultaneously. The AI extractor identifies 3 key data points from your decision description, then the multiplicative rubric computes a normalized 0-100 score for each option. This score is combined with results from other frameworks to produce your overall ranking, with contradiction detection highlighting where ICE Scoring Modeldisagrees with other methodologies.

ICE Scoring Model — Frequently Asked Questions

What is ICE Scoring Model?+
Prioritizes features/experiments by Impact x Confidence x Ease. In SolveRight, ICE Scoring Model uses a multiplicative rubric to compute a normalized 0–100 score for each option.
When should I use ICE Scoring Model?+
ICE Scoring Model is best suited for Prioritization & Scoring decisions. It evaluates factors like impact, confidence, ease, making it valuable when you need ranking initiatives by impact, effort, and strategic alignment.
How does SolveRight use ICE Scoring Model?+
SolveRight runs ICE Scoring Model alongside up to 154 other frameworks simultaneously. The AI extractor identifies 3 key data points from your decision description, then the multiplicative rubric computes deterministic scores. If ICE Scoring Model disagrees with other frameworks, contradiction detection highlights the divergence.
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