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Prioritizing roadmap

Skill liqiongyu/lenny_skills_plus/skills/prioritizing-roadmap

86 agent-executable skill packs converted from RefoundAI’s Lenny skills (unofficial). Works with Codex + Claude Code.

Install
npx -y skills add liqiongyu/lenny_skills_plus --skill prioritizing-roadmap

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What its author says it does

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

SKILL.md

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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.

Keep looking

Skills are one crate of 328,083. Ordering is by how many stacks a row turns up in, so the top of any crate is what has actually been picked rather than what has the most stars.