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Weighted Scoring Calculator

Define your own criteria and weights, then score features to get a customized priority ranking. The most flexible prioritization framework.

How Weighted Scoring Works

For each feature:Scoreร—Weightsummed, thenรทTotal Weight=Weighted Score

Score each feature 1-5 against each criterion. Higher weight = more important criterion.

Step 1: Define Criteria & Weights

Strategic Alignment
Weight: 8
Customer Impact
Weight: 9
Revenue Potential
Weight: 7
Technical Effort
Weight: 5
Risk
Weight: 4

Step 2: Score Features (1-5)

Feature 1

Continue your workflow

What is Weighted Scoring?

Weighted scoring lets you define custom criteria (revenue impact, strategic alignment, customer demand, effort) and assign weights that reflect your business priorities. Each feature is scored against every criterion, then multiplied by its weight for a final ranking. It's the most flexible prioritization method because you decide what matters. Read the full guide in our weighted scoring framework.

How to Use This Calculator

  1. Define criteria. Add 3-6 scoring criteria that reflect your team's priorities (e.g., revenue potential, user demand, technical feasibility).
  2. Set weights. Assign a weight to each criterion so they sum to 100%. This forces an honest conversation about what matters most.
  3. Score features. Rate each feature on a 1-5 scale for every criterion.
  4. Review rankings. The calculator multiplies scores by weights and ranks features by total weighted score.

FAQ

When should I use weighted scoring instead of RICE?

Use weighted scoring when RICE's four fixed dimensions don't capture what matters to your team. If strategic alignment, compliance, or customer segment value are important factors, weighted scoring lets you include them. RICE is faster to set up, weighted scoring is more tailored. See also ICE scoring for a simpler alternative.

How many criteria should I use?

Start with 4-6 criteria. Fewer than 3 doesn't add much value over simpler methods. More than 7 creates scoring fatigue and noise. The key is that each criterion should drive meaningfully different scores across your feature list. If two criteria always produce the same rankings, merge them.

For complementary approaches, try Kano analysis to understand customer satisfaction drivers, or the value-effort matrix for a quick visual prioritization. The complete prioritization guide compares all methods.

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