Prioritization Advisor

Purpose

Guide product managers in choosing the right prioritization framework by asking adaptive questions about product stage, team context, decision-making needs, and stakeholder dynamics. Use this to avoid "framework whiplash" (switching frameworks constantly) or applying the wrong framework (e.g., using RICE for strategic bets or ICE for data-driven decisions). Outputs a recommended framework with implementation guidance tailored to your context.

This is not a scoring calculator—it's a decision guide that matches prioritization frameworks to your specific situation.

Input

Works best with: What you're trying to prioritize and why now (sprint planning, roadmap, stakeholder fight). Also useful: Product stage, team size, data availability, and frameworks you've tried that failed.

Anything supplied with the invocation itself — text after the skill name, a pasted context dump, or an appended ARGUMENTS: line — counts as answers already given. Use it and skip whatever it covers; don't re-ask.

Arriving empty-handed? That works too. The advisor opens by asking about your product stage and the decision you need the framework to make.

Example invocation: Help me pick a framework: seed-stage B2B startup, 40-item backlog, zero usage data, loud enterprise prospect.

Key Concepts

The Prioritization Framework Landscape

Common frameworks and when to use them:

Scoring frameworks:

• RICE (Reach, Impact, Confidence, Effort) — Data-driven, requires metrics
• ICE (Impact, Confidence, Ease) — Lightweight, gut-check scoring
• Value vs. Effort (2x2 matrix) — Quick wins vs. strategic bets
• Weighted Scoring — Custom criteria with stakeholder input

Strategic frameworks:

• Kano Model — Classify features by customer delight (basic, performance, delight)
• Opportunity Scoring — Rate importance vs. satisfaction gap
• Buy-a-Feature — Customer budget allocation exercise
• Moscow (Must, Should, Could, Won't) — Forcing function for hard choices

Contextual frameworks:

• Cost of Delay — Urgency-based (time-sensitive features)
• Impact Mapping — Goal-driven (tie features to outcomes)
• Story Mapping — User journey-based (narrative flow)

Why This Works

• Context-aware: Matches framework to product stage, team maturity, data availability
• Anti-dogmatic: No single "best" framework—it depends on your situation
• Actionable: Provides implementation steps, not just framework names

Anti-Patterns (What This Is NOT)

• Not a universal ranking: Frameworks aren't "better" or "worse"—they fit different contexts
• Not a replacement for strategy: Frameworks execute strategy; they don't create it
• Not set-it-and-forget-it: Reassess frameworks as your product matures

When to Use This

• Choosing a prioritization framework for the first time
• Switching frameworks (current one isn't working)
• Aligning stakeholders on prioritization process
• Onboarding new PMs to team practices

When NOT to Use This

• When you already have a working framework (don't fix what isn't broken)
• For one-off decisions (frameworks are for recurring prioritization)
• As a substitute for strategic vision (frameworks can't tell you what to build)

Facilitation Source of Truth

Use `workshop-facilitation` as the default interaction protocol for this skill.

It defines:

• session heads-up + entry mode (Guided, Context dump, Best guess)
• one-question turns with plain-language prompts
• progress labels (for example, Context Qx/8 and Scoring Qx/5)
• interruption handling and pause/resume behavior
• numbered recommendations at decision points
• quick-select numbered response options for regular questions (include Other (specify) when useful)

This file defines the domain-specific assessment content. If there is a conflict, follow this file's domain logic.

Application

This interactive skill asks up to 4 adaptive questions, offering 3-4 enumerated options at each step.

Question 1: Product Stage

Agent asks: "What stage is your product in?"

Offer 4 enumerated options:

1. Pre-product/market fit — "Searching for PMF; experimenting rapidly; unclear what customers want" (High uncertainty, need speed)
2. Early PMF, scaling — "Found initial PMF; growing fast; adding features to retain/expand" (Moderate uncertainty, balancing speed + quality)
3. Mature product, optimization — "Established market; incremental improvements; competing on quality/features" (Low uncertainty, data-driven decisions)
4. Multiple products/platform — "Portfolio of products; cross-product dependencies; complex stakeholder needs" (Coordination complexity)

Or describe your product stage (new idea, growth mode, established, etc.).

User response: [Selection or custom]

Question 2: Team Context

Agent asks: "What's your team and stakeholder environment like?"

Offer 4 enumerated options:

1. Small team, limited resources — "3-5 engineers, 1 PM, need to focus ruthlessly" (Need simple, fast framework)
2. Cross-functional team, aligned — "Product, design, engineering aligned; clear goals; good collaboration" (Can use data-driven frameworks)
3. Multiple stakeholders, misaligned — "Execs, sales, customers all have opinions; need transparent process" (Need consensus-building framework)
4. Large org, complex dependencies — "Multiple teams, shared roadmap, cross-team dependencies" (Need coordination framework)

Or describe your team/stakeholder context.

User response: [Selection or custom]

Question 3: Decision-Making Needs

Agent asks: "What's the primary challenge you're trying to solve with prioritization?"

Offer 4 enumerated options:

1. Too many ideas, unclear which to pursue — "Backlog is 100+ items; need to narrow to top 10" (Need filtering framework)
2. Stakeholders disagree on priorities — "Sales wants features, execs want strategic bets, engineering wants tech debt" (Need alignment framework)
3. Lack of data-driven decisions — "Prioritizing by gut feel; want metrics-based process" (Need scoring framework)
4. Hard tradeoffs between strategic bets vs. quick wins — "Balancing long-term vision vs. short-term customer needs" (Need value/effort framework)

Or describe your specific challenge.

User response: [Selection or custom]

Question 4: Data Availability

Agent asks: "How much data do you have to inform prioritization?"

Offer 3 enumerated options:

1. Minimal data — "New product, no usage metrics, few customers to survey" (Gut-based frameworks)
2. Some data — "Basic analytics, customer feedback, but no rigorous data collection" (Lightweight scoring frameworks)
3. Rich data — "Usage metrics, A/B tests, customer surveys, clear success metrics" (Data-driven frameworks)

Or describe your data situation.

User response: [Selection or custom]

Output: Recommend Prioritization Framework

After collecting responses, the agent recommends a framework:

# Prioritization Framework Recommendation

**Based on your context:**
- **Product Stage:** [From Q1]
- **Team Context:** [From Q2]
- **Decision-Making Need:** [From Q3]
- **Data Availability:** [From Q4]

---

## Recommended Framework: [Framework Name]

**Why this framework fits:**
- [Rationale 1 based on Q1-Q4]
- [Rationale 2]
- [Rationale 3]

**When to use it:**
- [Context where this framework excels]

**When NOT to use it:**
- [Limitations or contexts where it fails]

---

## How to Implement

### Step 1: [First implementation step]
- [Detailed guidance]
- [Example: "Define scoring criteria: Reach, Impact, Confidence, Effort"]

### Step 2: [Second step]
- [Detailed guidance]
- [Example: "Score each feature on 1-10 scale"]

### Step 3: [Third step]
- [Detailed guidance]
- [Example: "Calculate RICE score: (Reach × Impact × Confidence) / Effort"]