Files
pm-claude-skills/feature-prioritisation/SKILL.md
T
2026-03-23 01:21:43 +05:30

3.5 KiB
Raw Blame History

name, description
name description
feature-prioritisation Applies prioritisation frameworks (RICE, MoSCoW, Kano, ICE, Opportunity Scoring) to rank features and backlog items. Use when asked to prioritise features, rank a backlog, decide what to build next, or evaluate tradeoffs. Triggers on "prioritise features", "what should we build", "backlog grooming", "RICE score", "MoSCoW".

Feature Prioritisation Skill

Apply the right prioritisation framework to any backlog and produce a clear, defensible ranking with rationale — not just a sorted list.

Framework Selection Guide

Ask the user which framework they prefer, or recommend based on context:

Situation Recommended Framework
Need a quick, data-driven score RICE
Stakeholder alignment meeting MoSCoW
Understanding customer delight vs expectations Kano
Early-stage startup, fast decisions ICE
Identifying underserved customer needs Opportunity Scoring
Strategic portfolio decisions Value vs Effort Matrix

RICE Scoring

Formula: (Reach × Impact × Confidence) ÷ Effort

Factor Definition Scale
Reach Users impacted per quarter Actual number
Impact Effect on goal per user 0.25 / 0.5 / 1 / 2 / 3
Confidence How certain are you? 50% / 80% / 100%
Effort Person-months required Actual number

Output table:

Feature Reach Impact Confidence Effort RICE Score Priority

MoSCoW Method

Categorise each feature as:

  • Must Have — non-negotiable for launch/sprint; product fails without it
  • Should Have — important but not critical; workarounds exist
  • Could Have — nice to have; include only if time allows
  • Won't Have (this time) — explicitly out of scope now; may revisit

Always ask: "Must have for what?" — define the scope (launch, sprint, quarter) before categorising.


ICE Scoring (Startup/fast mode)

Formula: Impact + Confidence + Ease (each 110)

Quick, subjective — good for early decisions before data exists.


Kano Model

Classify features into:

  • Basic (Must-be): Expected; absence causes dissatisfaction
  • Performance: More = better satisfaction; linear relationship
  • Excitement (Delighters): Unexpected; creates delight; absence is neutral
  • Indifferent: Users don't care either way
  • Reverse: Some users want it, others don't

Recommend building: all Basic features first → Performance features for key use cases → 12 Excitement features per release.


Output Format

Feature Prioritisation — [Product/Team] — [Date]

Framework Used: [RICE / MoSCoW / ICE / Kano / Custom] Scope: [Sprint / Quarter / Release] Goal being prioritised against: [Metric or objective]

[Scored table using selected framework]

Recommended Build Order:

  1. [Feature] — [1-line rationale]
  2. [Feature] — [1-line rationale]
  3. ...

Explicitly Deprioritised:

  • [Feature] — Reason: [brief]

Assumptions Made:

  • [Any estimates or judgements used in scoring]

Guidelines

  • Always anchor prioritisation to a specific goal or metric — never prioritise in a vacuum
  • Flag when two features have similar scores but very different risk profiles
  • If stakeholder politics are influencing prioritisation, name it explicitly and suggest separating the framework score from the final decision
  • Recommend revisiting priorities every 2 weeks minimum
  • Never produce a single-column ranked list without rationale — explain the top 3 and bottom 3 decisions