Feature Prioritization Framework Calculator

Pro v1.0.0 1 view

Calculate RICE scores and generate data-driven feature prioritization for product roadmaps. Takes feature ideas with rough estimates and produces ranked prioritization, value vs effort matrix, and strategic recommendations.

What You Get

Transform rough feature estimates into actionable prioritization with RICE scoring, quadrant analysis, and stakeholder-ready reports in minutes instead of hours

The Problem

Product managers spend 2-4 hours manually calculating prioritization scores, creating matrices, and building stakeholder-ready reports. Subjective debates about feature priority waste time and create stakeholder friction. Without a systematic framework, teams build low-ROI features while quick wins sit in the backlog.

The Solution

This skill automates RICE score calculation (Reach x Impact x Confidence / Effort) for 10-50 features, normalizes qualitative inputs (high/medium/low) to numeric values, classifies features into four quadrants (quick wins, big bets, fill-ins, time sinks), generates visual value vs effort matrices, provides strategic recommendations per quadrant, includes sensitivity analysis for estimate uncertainty, and produces comprehensive stakeholder-ready reports with phased roadmap suggestions.

How It Works

  1. 1 Gather feature list with reach, impact, confidence, and effort estimates for each feature
  2. 2 Normalize qualitative inputs (high/med/low) to numeric values using established scales
  3. 3 Calculate RICE scores for each feature: (Reach x Impact x Confidence) / Effort
  4. 4 Rank features and classify into quadrants based on value and effort thresholds
  5. 5 Generate 2x2 value vs effort matrix visualization
  6. 6 Provide strategic analysis and recommendations per quadrant (build/defer/validate)
  7. 7 Create sensitivity analysis showing impact of estimate changes on rankings
  8. 8 Format comprehensive report with executive summary, rankings, matrix, and next steps

What You'll Need

  • List of 10-50 features to prioritize
  • Reach estimate per feature (users affected - numbers or high/med/low)
  • Impact estimate per feature (minimal, low, medium, high, massive)
  • Confidence estimate per feature (percentage or high/med/low)
  • Effort estimate per feature (person-weeks or t-shirt sizes S/M/L/XL)
  • Optional: quarterly capacity in person-weeks for roadmap recommendations

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Requires Pro subscription ($9/month)

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Examples

CRM Feature Roadmap Prioritization

Prioritizing 5 CRM features with numeric estimates for reach, impact, confidence, and effort. Demonstrates complete RICE calculation, quadrant classification, and phased roadmap with sensitivity analysis.

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Quarterly Capacity-Constrained Roadmap

Prioritizing 4 features with a 16-week quarterly capacity constraint. Demonstrates capacity-aware roadmap planning, phase recommendations, and strategic deferral of high-risk features that don't fit within available time.

View example

T-Shirt Sizing with Qualitative Estimates

Prioritizing 6 features using qualitative t-shirt sizes (S/M/L/XL) and relative estimates (high/medium/low). Demonstrates automatic conversion of qualitative inputs to numeric RICE scores with full methodology transparency.

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