shield_lock
JinDaGe
← Back to skills
extension
Category: Development & EngineeringNo API key required

prioritization-frameworks

Comprehensive prioritization framework expert covering 9 methods with scoring tools and decision guidance for product managers.

personAuthor: jakexiaohubgithub
open_in_newRepositorydownloadDownload package

Prioritization Framework Expert

Overview

A comprehensive reference to 9 prioritization frameworks with automated scoring, ranking, and guidance on which framework to use in which situation. The core principle: prioritize problems (opportunities), not features. Features are solutions to problems. If you prioritize features directly, you skip the step of understanding whether the problem is worth solving.

Core Capabilities

  • 9 frameworks — RICE, ICE, Opportunity Score, Eisenhower, Impact vs Effort, Risk vs Reward, Kano, Weighted Decision Matrix, MoSCoW (full definitions, formulas, and worked examples in references/frameworks-catalog.md).
  • Framework selection — a decision tree maps the thing you are prioritizing (problems, features, personal tasks, high-uncertainty bets) to the right method.
  • Automated scoring — prioritization_scorer.py ranks items for RICE, ICE, Opportunity, MoSCoW, and Weighted Decision Matrix.
  • Two-step discipline — prioritize problems first (Opportunity Score), then prioritize solutions (RICE/ICE).

When to Use

  • Backlog Grooming -- Too many items, need to rank them objectively.
  • Quarterly Planning -- Deciding which initiatives to invest in.
  • Stakeholder Alignment -- Need a structured way to resolve competing priorities.
  • Feature Triage -- Quick sorting of a long list into actionable categories.

Clarify First

Before scoring, confirm these inputs. If any is unknown or vague, ASK — do not assume:

  • [ ] What you're ranking — problems/opportunities vs features vs personal tasks (the decision tree picks the framework from this)
  • [ ] Framework — rice / ice / opportunity / moscow / weighted (each requires different score fields and emits different rankings)
  • [ ] Quality of the estimates — measured data vs guesses for reach/impact (guesses make RICE/ICE precision misleading; switch to a coarser method)

Stop rule: ask only the 2-3 that most change the output. If the user says "just draft it," proceed and list your assumptions at the top of the artifact.

Quick Start

| Tool | Purpose | Command | |------|---------|---------| | prioritization_scorer.py | Score and rank items | python scripts/prioritization_scorer.py --input items.json --framework rice | | prioritization_scorer.py | Demo with sample data | python scripts/prioritization_scorer.py --demo --framework rice |

Supported frameworks: rice, ice, opportunity, moscow, weighted. See references/tool-and-troubleshooting.md for input JSON schemas and flags.

References

Load the reference that matches the task — keep this file lean and pull detail on demand:

  • references/frameworks-catalog.md — full definitions, formulas, strengths/weaknesses, and worked examples for all 9 frameworks, the framework decision tree, and the "prioritize problems, not features" principle. Read when choosing or applying a specific framework.
  • references/prioritization-guide.md — detailed formulas, decision tree, and facilitation tips. Read when facilitating a scoring session with a group.
  • references/red-flags.md — anti-patterns and warning signs in prioritization practice. Read when a process feels off or results are being gamed.
  • references/tool-and-troubleshooting.md — prioritization_scorer.py flags, per-framework input JSON schemas, troubleshooting table, and success criteria. Read when running the tool or diagnosing scoring problems.
  • assets/prioritization_matrix_template.md — scoring templates for each framework. Use when capturing a manual scoring exercise.

Scope & Limitations

In Scope:

  • 9 prioritization frameworks with scoring, ranking, and explanation (RICE, ICE, Opportunity Score, Eisenhower, Impact vs. Effort, Risk vs. Reward, Kano, Weighted Decision Matrix, MoSCoW)
  • Automated scoring and ranking for RICE, ICE, Opportunity Score, MoSCoW, and Weighted Decision Matrix
  • Framework selection guidance via Decision Tree
  • Demo data for each framework to illustrate input/output formats

Out of Scope:

  • Real-time Jira/Linear backlog integration (manual JSON input required)
  • Cost-of-delay or WSJF calculations (see senior-pm/ skill for SAFe portfolio prioritization)
  • User research to gather importance/satisfaction data for Opportunity Score (see product-team/ skills)
  • Strategic portfolio allocation decisions (see senior-pm/ skill)

Important Caveats:

  • No framework produces a "correct" answer. Prioritization frameworks are decision-support tools that structure conversation, not algorithms that replace judgment.
  • RICE and ICE are best for data-rich environments. If your reach and impact estimates are pure guesses, the precision of the formula is misleading.
  • The most successful teams combine frameworks: start with Opportunity Score to identify the right problems, then use RICE to rank solutions.
  • For teams with 50+ people or multiple stakeholder groups, use WSJF or Weighted Decision Matrix with agreed criteria to ensure buy-in.

Integration Points

| Integration | Direction | Description | |------------|-----------|-------------| | execution/outcome-roadmap/ | Feeds into | Prioritized items inform Now/Next/Later horizon placement | | execution/create-prd/ | Feeds into | Top-priority items become PRD candidates with P0/P1/P2 feature labels | | execution/brainstorm-okrs/ | Complements | Prioritized initiatives inform which OKR theme to focus on this quarter | | discovery/identify-assumptions/ | Receives from | Assumption risk scores inform item confidence ratings in RICE/ICE | | scrum-master/ | Feeds into | Prioritized backlog items feed sprint planning commitment decisions | | senior-pm/ | Receives from | Portfolio-level WSJF or strategic priorities constrain team-level prioritization |