Product Prioritization Template

Product prioritization is where strategy meets execution. Every quarter, teams face more ideas than capacity. The default approach — the loudest stakeholder wins — consistently produces suboptimal roadmaps.

This template applies five complementary prioritization frameworks. RICE Scoring balances reach, impact, confidence, and effort. ICE Scoring provides a faster lightweight alternative. MoSCoW forces categorical classification. Kano Model identifies customer delight opportunities. And weighted scoring lets you define custom criteria.

The multi-framework approach reveals disagreements: a feature might score high on RICE (high reach) but low on Kano (expected, not delightful). These contradictions are exactly where teams need to have honest conversations.

Best For

  • Product managers building quarterly or annual roadmaps
  • Engineering leads negotiating sprint priorities with stakeholders
  • Founders deciding what to build next with limited resources
  • Product teams replacing opinion-based prioritization with data

How to Use This Template

  1. 1

    List 3-6 features or initiatives you're considering.

  2. 2

    Describe each option: target users, expected impact, effort estimate, strategic alignment.

  3. 3

    SolveRight scores all options across 5 prioritization frameworks simultaneously.

  4. 4

    Review the priority ranking and cross-framework contradictions.

  5. 5

    Export the ranked list as a roadmap artifact for stakeholder alignment.

Frameworks in This Template

These frameworks are pre-selected for this template. All 155 frameworks are available in every analysis.

Sample Options

Example options you might compare with this template:

Feature A (search redesign)Feature B (API v2)Feature C (mobile app)Feature D (analytics dashboard)

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Product Prioritization Template — Frequently Asked Questions

How is this different from using RICE scoring in a spreadsheet?+
A spreadsheet gives you one framework's perspective. SolveRight runs five frameworks simultaneously, surfaces contradictions (high RICE but low Kano), and provides sensitivity analysis showing which inputs flip the ranking.
Can I compare features at different granularity levels?+
Yes. Mix epics, features, and user stories in the same analysis. SolveRight handles the comparison regardless of granularity — though comparing items at similar levels produces more actionable results.
Does this integrate with my project management tool?+
SolveRight exports to JSON, markdown, and shareable links. You can paste the ranked output into Jira, Linear, Notion, or any tool your team uses for roadmap planning.

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