Skillquality 0.47

defining-product-vision

Define or refresh a product vision: vision statement, narrative, pillars, strategic choices, rollout.

Price
free
Protocol
skill
Verified
no

What it does

Defining Product Vision

Scope

Covers

  • Defining or refreshing a product vision (5–10 year future state)
  • Writing a vision statement + short vision narrative (concrete, not a tagline)
  • Translating vision into pillars and strategic choices (what we will/won’t do)
  • Packaging a “Product Vision Pack” leaders and teams can use as a decision tie-breaker

When to use

  • “We need a real product vision (not a slogan).”
  • “Leadership isn’t aligned on where the product is going.”
  • “Write a vision statement + one-pager for the next 5–10 years.”
  • “Bridge our mission to strategy and planning.”
  • “We have a big technology vision—what’s the user-friendly product form factor?”

When NOT to use

  • You only need a marketing tagline or positioning copy (do marketing/copywriting instead).
  • You need a detailed product strategy doc, roadmap, or OKRs after vision is already aligned (use those downstream skills).
  • You don’t have even a rough target customer/problem hypothesis (do discovery/research first; use problem-definition).
  • You’re choosing metrics/measurement before agreeing on the future state (use writing-north-star-metrics after this skill).
  • You need to prioritize what to build next against an existing vision (use prioritizing-roadmap).
  • You need an AI-specific or company-wide product strategy, not a vision statement (use ai-product-strategy).

Inputs

Minimum required

  • Product (what it is today) + target customer segment(s)
  • The potent user problem / job-to-be-done the vision is grounded in
  • Time horizon (default: 5–10 years)
  • Mission / higher-level purpose (or executive intent)
  • Constraints (what must remain true: trust, safety, margin, compliance, etc.)
  • Stakeholders who must align (roles/names)

Missing-info strategy

  • Ask up to 5 questions from references/INTAKE.md.
  • If answers aren’t available, proceed with clearly labeled assumptions and provide 2–3 vision options.

Outputs (deliverables)

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

  1. Context snapshot (bullets)
  2. Problem anchor (target customer + potent user problem)
  3. Vision statement (1 sentence)
  4. Vision narrative (concrete 5–10 year future state; tech-agnostic; aspirational but attainable)
  5. Vision pillars (3–5) + optional experience principles
  6. Strategy bridge (3–5 explicit choices + non-goals + “near-term wedge/form factor”)
  7. Rollout & alignment plan (workshop + comms + cadence)
  8. Risks / Open questions / Next steps (always included)

Templates: references/TEMPLATES.md

Workflow (8 steps)

1) Intake + constraints

  • Inputs: User context; use references/INTAKE.md.
  • Actions: Confirm product, target customer, horizon, mission, constraints, stakeholders, and why-now.
  • Outputs: 8–12 bullet Context snapshot.
  • Checks: You can restate “who we serve + what problem we solve” in 1–2 sentences.

2) Define the problem anchor (potent user problem)

  • Inputs: Context snapshot.
  • Actions: Write the target customer + problem as a crisp, user-centered statement; identify what “success” means for them.
  • Outputs: Problem anchor section (template in references/TEMPLATES.md).
  • Checks: Problem is specific, important, and not framed as “our feature idea”.

3) Draft 2–3 future states (vision options)

  • Inputs: Problem anchor + horizon.
  • Actions: Generate 2–3 distinct future-state options that are:
    • Lofty and realistic
    • Tech-agnostic (not limited by today’s implementation)
    • Grounded in the user problem
  • Outputs: 2–3 Vision options (short narratives).
  • Checks: Each option passes the 4-point vision test in references/CHECKLISTS.md.

4) Write the vision statement + narrative (not a tagline)

  • Inputs: Chosen vision option.
  • Actions: Draft a 1-sentence vision statement and a short narrative (5–10 year future). Run the “what does that mean?” elaboration test.
  • Outputs: Vision statement + Vision narrative.
  • Checks: A stakeholder can ask “what does that mean?” and you can answer concretely (future customers, value difference, what’s changed).

5) Define pillars + principles (make it decision-useful)

  • Inputs: Vision narrative.
  • Actions: Create 3–5 pillars that imply product choices; add experience principles that help users act on the core value.
  • Outputs: Vision pillars (+ optional experience principles).
  • Checks: Each pillar can be translated into “we will invest in X / say no to Y”.

6) Build the strategy bridge (choices + non-goals + wedge)

  • Inputs: Vision pillars + constraints.
  • Actions: Translate the vision into 3–5 strategic choices and explicit non-goals. Propose a near-term wedge/form factor that delivers immediate utility while progressing the long-term vision.
  • Outputs: Strategy bridge section.
  • Checks: Strategy forces choice (scarce resources); includes at least 3 non-goals; names a plausible wedge.

7) Align stakeholders + iterate

  • Inputs: Draft pack.
  • Actions: Create a lightweight review plan (who, how, cadence). Anticipate objections and add an FAQ if needed.
  • Outputs: Rollout & alignment plan.
  • Checks: Key stakeholders can paraphrase the vision and disagree on specifics (not on meanings).

8) Quality gate + finalize pack

  • Inputs: All drafts.
  • Actions: Run references/CHECKLISTS.md and score with references/RUBRIC.md. Add Risks / Open questions / Next steps.
  • Outputs: Final Product Vision Pack.
  • Checks: Pack is shareable as-is; choices, non-goals, and caveats are explicit.

Quality gate (required)

Examples

Example 1 (B2B SaaS): “Define a product vision for a workflow automation platform for IT teams.”
Expected: a Product Vision Pack with a concrete future state, pillars, and a strategy bridge (choices + non-goals + wedge).

Example 2 (Consumer): “Refresh product vision for a personal finance app expanding into a full ‘financial operating system’.”
Expected: a vision that is lofty but attainable, tech-agnostic, grounded in a potent user problem, and packaged in a familiar form factor.

Boundary example 1: “Write a tagline for our website.” Response: clarify this skill produces product vision artifacts (not marketing copy). Offer to first produce a vision pack, then hand off a distilled tagline/positioning to a marketing/copy skill.

Boundary example 2: “Help me decide what metrics to track for our product.” Response: redirect to writing-north-star-metrics. If the user lacks a clear vision to anchor metrics against, offer to run this skill first, then hand off to the metrics skill.

Anti-patterns (common failure modes)

  1. Vision-as-tagline -- Producing a vague aspirational slogan (“Empower everyone, everywhere”) instead of a concrete future-state narrative that describes who benefits, how, and what changes. A real vision should fail the “could any competitor say this?” test.
  2. Pillar-without-teeth -- Listing pillars that sound good but don't force any tradeoff or resource allocation decision. Each pillar must imply at least one “we will NOT do X” consequence.
  3. Strategy creep -- Expanding the vision pack into a full product strategy document with roadmap timelines, OKR trees, and GTM plans. Keep the pack focused on the future state and hand off downstream work to the appropriate skills.
  4. Skipping the problem anchor -- Jumping straight to the vision statement without grounding it in a specific, potent user problem. Visions disconnected from real pain drift into wish-lists.
  5. Consensus theater -- Writing a vision so broad that nobody disagrees but nobody can use it to make a decision. A good vision should make some stakeholders uncomfortable because it excludes their pet ideas.

Capabilities

skillsource-liqiongyuskill-defining-product-visiontopic-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 (8,238 chars)

Provenance

Indexed fromgithub
Enriched2026-04-22 00:56:21Z · deterministic:skill-github:v1 · v1
First seen2026-04-18
Last seen2026-04-22

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