Skillquality 0.47

prioritizing-roadmap

Prioritize product roadmap: scoring model, ranked opportunities, decision narrative. See also: technical-roadmaps (engineering roadmap).

Price
free
Protocol
skill
Verified
no

What it does

Prioritizing Roadmap

Scope

Covers

  • Turning messy roadmap inputs into a ranked opportunity list + coherent roadmap
  • Defining a planning “season” (macro context) and success criteria
  • Using a common-currency scoring model (ICE + assumptions) to compare across teams
  • Producing an alignment-ready Roadmap Prioritization Pack

When to use

  • “What should we build next?”
  • “We need a Q2/Q3 roadmap.”
  • “We have too many requests and no way to compare them.”
  • “We need to prioritize across multiple teams/pods.”

When NOT to use

  • You don’t have any agreed goal / North Star / strategic intent (do product vision / goals first; use setting-okrs-goals).
  • You need sprint planning or story-level estimation (use your agile/scrum process).
  • You’re only choosing a single experiment within an already-fixed roadmap.
  • You need a full customer discovery plan from scratch (use problem-definition).
  • You need to cut scope within an already-committed project (use scoping-cutting).
  • You need an engineering/technical roadmap for infrastructure or platform work (use technical-roadmaps).
  • You need to track milestones, deadlines, and delivery status on an existing plan (use managing-timelines).

Inputs

Minimum required

  • Product + primary customer segment
  • Planning horizon + cadence (e.g., next 6 weeks, next quarter, rolling 12–24 months)
  • Success criteria (North Star / business goal) + 2–5 guardrails
  • Candidate opportunities (or current roadmap/backlog) with rough size/effort
  • Constraints: capacity, commitments, dependencies, deadlines, risk tolerance

Missing-info strategy

  • Ask up to 5 questions from references/INTAKE.md.
  • If still missing, proceed with clearly labeled assumptions and provide 2–3 roadmap options.

Outputs (deliverables)

Produce a Roadmap Prioritization Pack in Markdown (in-chat; or as files if requested):

  1. Context snapshot (goal, horizon, constraints, stakeholders)
  2. Season framing (what changed, key bets, explicit non-goals)
  3. Opportunity inventory with conviction level (known vs hypothesis) and evidence
  4. Prioritization model (common currency + ICE scoring + assumptions)
  5. Ranked opportunity list (top 10–20) + “parking lot”
  6. Roadmap draft (Now/Next/Later or quarterly themes) + update cadence (rolling plan)
  7. Decision narrative (why these, why now) + “Think Bigger” ideas
  8. Risks / Open questions / Next steps (always included)

Templates: references/TEMPLATES.md

Workflow (8 steps)

1) Intake + decision framing

  • Inputs: User context; references/INTAKE.md.
  • Actions: Confirm the decision (backlog vs quarterly roadmap vs annual planning), horizon, stakeholders, constraints, and “must-do” commitments.
  • Outputs: Context snapshot.
  • Checks: Everyone agrees what decision will be made and by when.

2) Define the “season” + success criteria

  • Inputs: Context snapshot.
  • Actions: Name the current season (macro context), define 3–5 season bets, and set success criteria (North Star + guardrails).
  • Outputs: Season framing section.
  • Checks: A stakeholder can restate “why now” and “what we’re optimizing for”.

3) Build the opportunity inventory (separate truth vs hypotheses)

  • Inputs: Candidate inputs (requests, ideas, problems).
  • Actions: Normalize each item into a problem/outcome statement; tag conviction level (Known / Belief / Hypothesis) and evidence; split discovery vs delivery.
  • Outputs: Opportunity inventory table.
  • Checks: Every item has an intended outcome metric and a confidence/evidence note.

4) Define the common-currency scoring model (ICE + assumptions)

  • Inputs: Inventory + success criteria.
  • Actions: Choose a primary “common currency” (e.g., North Star units, revenue, cost, risk reduction) and define ICE scales; estimate impact ranges and confidence based on evidence.
  • Outputs: Scoring model + filled scoring table.
  • Checks: Two people using the same scales would produce similar relative rankings.

5) Stress-test the ranking (scenarios + constraints)

  • Inputs: Scored list + constraints.
  • Actions: Apply constraints (capacity, dependencies, deadlines); run 2–3 scenarios (base / aggressive / conservative); ensure a balanced portfolio (core, growth, quality, big bets).
  • Outputs: Shortlist (top set) + parking lot + key tradeoffs.
  • Checks: Tradeoffs and “no’s” are explicit; nothing critical is missing.

6) Draft the roadmap (sequencing + cadence)

  • Inputs: Shortlist + scenario choice.
  • Actions: Convert priorities into a roadmap (Now/Next/Later or quarterly themes), sequencing by dependencies and learning; define a rolling plan cadence (e.g., rolling 12–24 months, refreshed every 6 months).
  • Outputs: Roadmap draft + update cadence.
  • Checks: The roadmap is coherent, feasible, and resilient to new inputs.

7) Write the decision narrative + alignment plan

  • Inputs: Roadmap draft + rationale.
  • Actions: Write “why these, why now”; include a “Think Bigger” section; define how the roadmap will be communicated and updated.
  • Outputs: Decision narrative + comms/rollout plan.
  • Checks: A cross-functional partner can explain the roadmap without you in the room.

8) Quality gate + finalize the pack

  • Inputs: Full draft pack.
  • Actions: Run references/CHECKLISTS.md and score with references/RUBRIC.md. Add Risks/Open questions/Next steps.
  • Outputs: Final Roadmap Prioritization Pack.
  • Checks: Pack is shareable as-is; assumptions, owners, and cadence are explicit.

Quality gate (required)

Examples

Example 1 (B2B SaaS): “Prioritize our next-quarter roadmap for a collaboration product across Growth + Core.”
Expected: season framing, scored opportunity inventory, a Now/Next/Later roadmap, and a clear decision narrative with explicit non-goals.

Example 2 (Marketplace): “Prioritize 6 months of roadmap across supply, demand, and trust & safety.”
Expected: a common-currency model that makes cross-team tradeoffs comparable and a rolling plan refreshed on a fixed cadence.

Boundary example 1: “Give me a 2-year roadmap, we don’t have goals or constraints.” Response: ask for goals/constraints; if unavailable, produce options + assumptions and recommend doing product vision + North Star first.

Boundary example 2: “We already have the roadmap locked -- help me cut scope on the authentication project to hit the deadline.” Response: redirect to scoping-cutting. This skill is for deciding what goes on the roadmap, not for trimming scope within a committed project.

Anti-patterns (common failure modes)

  1. HiPPO-driven ranking -- Using a scoring model but overriding it with the highest-paid person’s opinion without documenting the override rationale. If a score is overridden, the decision narrative must state why and what assumption changed.
  2. Score-as-truth -- Treating ICE scores as precise measurements instead of rough relative signals. Two items scored 7.2 vs 7.0 are not meaningfully different. The model produces tiers, not a total order.
  3. Missing the status quo option -- Ranking only new features without including “do nothing / invest in quality / pay down debt” as a scored alternative. The opportunity cost of not improving the existing product must be visible.
  4. Roadmap-as-promise -- Presenting a prioritized roadmap as a commitment with dates rather than a rolling plan with update cadence. A good roadmap is a living document with explicit refresh triggers.
  5. Invisible non-goals -- Producing a “yes” list without a corresponding “parking lot” and explicit “we chose not to do X because Y.” Stakeholders whose items were deprioritized need to see the rationale, not just the absence of their request.

Capabilities

skillsource-liqiongyuskill-prioritizing-roadmaptopic-agent-skillstopic-ai-agentstopic-automationtopic-claudetopic-codextopic-prompt-engineeringtopic-refoundaitopic-skillpack

Install

Quality

0.47/ 1.00

deterministic score 0.47 from registry signals: · indexed on github topic:agent-skills · 49 github stars · SKILL.md body (8,142 chars)

Provenance

Indexed fromgithub
Enriched2026-04-22 00:56:24Z · deterministic:skill-github:v1 · v1
First seen2026-04-18
Last seen2026-04-22

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