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Positioning Statement

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deanpeters
positioning-statement

Create a Geoffrey Moore-style positioning statement. Use when clarifying who you serve, what problem you solve, your category, and why you're different from alternatives.

Overview

Publisherdeanpeters
RepositoryProduct-Manager-Skills
Skill namepositioning-statement
Stars
7K
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831
Bundled files
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  • Markdown instructions

    A SKILL.md file the model loads on demand, so it only costs tokens when a request actually matches.

  • Works with any LLM

    AI skills are plain Markdown, not provider-specific code, so this works with GPT, Claude, Gemini, Grok, or a local model.

  • 3 bundled files

    Scripts, templates, and references the model can read while it works. Files are read-only and never executed.

  • Open source

    Published by deanpeters on GitHub. Read the source before you install it.

Installation

Install the Positioning Statement AI skill in TypingMind to use it with any LLM, or drop it into another agent that reads SKILL.md.

1

Install in TypingMind

TypingMind installs a skill straight from its GitHub folder — it reads SKILL.md, bundles the resource files, and stores the result locally.

  1. Open the app and go to Plugins → Skills.
  2. Choose "Install from GitHub".
  3. Paste the skill folder URL below and confirm.
  4. Enable the skill in any chat where you want it available.
Plugins → Skills → Add skill → From GitHub URL, then paste the folder URL and press Continue.
2

Install in another agent

Any agent that reads the Agent Skills format can use this skill — copy the folder into that agent's skills directory.

Claude Code — .claude/skills
git clone --depth 1 https://github.com/deanpeters/Product-Manager-Skills.git /tmp/Product-Manager-Skills
mkdir -p .claude/skills
cp -r /tmp/Product-Manager-Skills/skills/positioning-statement .claude/skills/positioning-statement
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Positioning Statement in any TypingMind chat and the model takes it from there. Its name and description sit in the system prompt, and the moment a request matches, the model loads the full instructions itself — you never invoke it by hand, and it costs no tokens until it is actually used.

The model loads Positioning Statement on its own as soon as a request matches it.

Works with any AI model

AI skills are plain Markdown instructions rather than provider-specific code, so Positioning Statement is not tied to the model it was written for. Install it once in TypingMind and use it with GPT-5, Claude, Gemini, Grok, DeepSeek, Mistral, Llama, or a local model you run yourself — all on your own API keys.

  • Loaded only when it is needed

    The system prompt carries just the name and description. The instructions are fetched on the first matching request, so an idle skill costs nothing.

  • Switch models mid-chat

    Because the skill is instructions rather than code, changing model does not break it — the next model reads the same SKILL.md.

Skill instructions

This is the SKILL.md content the model loads. Read it before installing — a skill is instructions your model will follow.

Purpose

Create a Geoffrey Moore-style positioning statement that clearly articulates who your product serves, what need it addresses, how it's categorized, what benefit it delivers, and how it differs from alternatives. Use this when you need to align stakeholders on product strategy, guide messaging, or test if your value proposition is crisp and defensible.

This is not a tagline or elevator pitch—it's a strategic clarity tool that forces you to make hard choices about target, need, and differentiation.

Input

Works best with: The product and its target customer. Also useful: The unmet need, product category, primary benefit, and nearest alternative — the skill drafts from what you give and asks only for what's missing.

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 skill asks for product and target customer first, then works through the Moore template slots.

Example invocation: Positioning statement for LaunchDarkly-style feature flags aimed at platform engineering leads at 200+ eng orgs.

Key Concepts

The Geoffrey Moore Framework

From Crossing the Chasm, Moore's framework splits positioning into two parts:

Value Proposition:

  • For [target customer]
  • that need [underserved need]
  • [product name]
  • is a [product category]
  • that [benefit statement]

Differentiation Statement:

  • Unlike [primary competitor or competitive alternative]
  • [product name]
  • provides [unique differentiation]

Why This Structure Works

  • Forces specificity: You can't say "for everyone" or "unlike all competitors"
  • Exposes assumptions: If you can't fill in "unlike X," you may not have defensible differentiation
  • Focuses on outcomes, not features: "That reduces churn by 40%" beats "that has analytics"
  • Category anchors perception: Saying "is a CRM" vs. "is a workflow tool" changes how buyers evaluate you

Anti-Patterns (What This Is NOT)

  • Not a tagline: "Positioning" ≠ "Nike: Just Do It"
  • Not a feature list: Don't say "that provides AI, automation, and integrations"
  • Not generic: "For businesses that need efficiency" = positioning theater
  • Not aspirational fluff: "That revolutionizes productivity" without specifics is noise

When to Use This

  • Defining a new product or major pivot
  • Aligning exec/founder/PM/marketing on strategy
  • Testing if your differentiation is real or imagined
  • Before writing PRDs, launch plans, or sales collateral

When NOT to Use This

  • For internal tools with captive users (positioning is for markets)
  • When you're still in problem validation (position after you know the problem)
  • As a substitute for customer research (this synthesizes insights, doesn't create them)

Application

Use template.md for the full fill-in structure.

Step 1: Gather Context

Before drafting, ensure you have:

  • Target customer segment: Demographics, behaviors, role (not just "SMBs" or "developers")
  • Underserved need: Pains, gains, jobs-to-be-done (reference skills/jobs-to-be-done/SKILL.md if needed)
  • Product category: How buyers mentally file your solution (CRM, analytics platform, etc.)
  • Competitive landscape: Direct competitors AND substitute behaviors (e.g., "Excel" is often the real competitor)

If missing context: Use discovery interviews, market research, or customer interviews to fill gaps. Don't guess.


Step 2: Draft the Value Proposition

Fill in the template:

markdown
## Value Proposition

**For** [specific target customer/persona]
- **that need** [statement of underserved need—focus on pains, gains, JTBD]
- [product or service name]
- **is a** [product category]
- **that** [benefit statement—focus on outcomes, not features]

Quality checks:

  • Target specificity: Could you describe this person to a recruiter? If not, narrow it.
  • Need clarity: Does this need resonate emotionally? Or is it generic ("need efficiency")?
  • Category fit: Does this category help or hurt you? (Sometimes creating a new category is strategic, but risky.)
  • Outcome focus: Are you saying what the user gets, not what the product has?

Step 3: Draft the Differentiation Statement

Fill in the template:

markdown
## Differentiation Statement

- **Unlike** [primary competitor or competitive alternative]
- [product or service name]
- **provides** [unique differentiation—outcomes, not features]

Quality checks:

  • Competitor honesty: Is this the real alternative buyers consider? (Not just who you wish they compared you to.)
  • Differentiation substance: Could a competitor copy this in 6 months? If yes, it's not durable differentiation.
  • Outcome framing: Are you saying what users achieve differently, not just what you do differently?

Step 4: Stress-Test the Positioning

Ask these questions:

  1. Would a customer recognize themselves? Read the "For [target]" aloud. Does it feel specific or generic?
  2. Is the need defensible? Can you point to research, interviews, or data that validates this need?
  3. Does the category help or hurt? Does it anchor you against the right competitors? Or does it box you in?
  4. Is differentiation believable? Could you prove this claim with a demo, case study, or data?
  5. Does this guide decisions? If someone asked "Should we build feature X?" would this positioning help answer it?

If any answer is "no" or "sort of," revise.


Step 5: Socialize and Iterate

  • Share with stakeholders: Founders, execs, product, marketing, sales
  • Test with customers: Read it aloud. Do they nod or look confused?
  • Refine ruthlessly: Positioning is never done on the first draft. Cut words, sharpen specificity, test alternatives.

Examples

See examples/sample.md for full positioning examples.

Mini example excerpt:

markdown
**For** software development teams
- **that need** to reduce email overload and improve real-time collaboration
- Slack
- **is a** team messaging platform
- **that** centralizes communication and makes conversations searchable

Common Pitfalls

Pitfall 1: "For Everyone"

Symptom: "For businesses that want to grow" or "For anyone who uses software"

Consequence: No one feels like it's for them. Positioning becomes invisible.

Fix: Pick the first customer segment you'll serve. You can expand later, but positioning works when it's narrow.


Pitfall 2: Feature Creep in Benefit Statement

Symptom: "That provides AI, automation, analytics, and integrations"

Consequence: Sounds like a feature list, not a benefit. Buyers tune out.

Fix: Lead with the outcome: "That reduces churn by 30% through predictive analytics." The features are how, not why.


Pitfall 3: Imaginary Competitor

Symptom: "Unlike outdated legacy systems" or "Unlike traditional approaches"

Consequence: You're positioning against a straw man. Real buyers don't recognize this alternative.

Fix: Name the actual competitor or substitute behavior. If buyers use Excel, say "Unlike Excel." If they use a competitor, name them.


Pitfall 4: Differentiation Without Proof

Symptom: "Provides revolutionary AI" or "Delivers unmatched speed"

Consequence: Claims without evidence = marketing fluff. Buyers ignore it.

Fix: Make it falsifiable: "Provides 10x faster query performance than Snowflake on datasets under 1TB" (can be tested).


Pitfall 5: Category Confusion

Symptom: "Is a next-generation platform for digital transformation"

Consequence: Buyers don't know how to evaluate you. Category = mental shelf. No shelf = no sale.

Fix: Pick a category buyers already understand (CRM, analytics, messaging) OR commit to category creation (requires $$$ and time).


References

Related Skills

  • skills/problem-statement/SKILL.md — Defines the problem positioning addresses
  • skills/jobs-to-be-done/SKILL.md — Informs the "that need" statement
  • skills/proto-persona/SKILL.md — Defines the "For [target]" segment
  • skills/press-release/SKILL.md — Positioning informs press release messaging

External Frameworks

  • Geoffrey Moore, Crossing the Chasm (1991) — Origin of this framework
  • April Dunford, Obviously Awesome (2019) — Modern positioning playbook
  • Al Ries & Jack Trout, Positioning: The Battle for Your Mind (1981) — Foundational positioning theory

Dean's Work

  • [Link to relevant Dean Peters' Substack articles if applicable]

Provenance

  • Adapted from prompts/positioning-statement.md in the https://github.com/deanpeters/product-manager-prompts repo.

Skill type: Component Suggested filename: positioning-statement.md Suggested placement: /skills/components/ Dependencies: References skills/problem-statement/SKILL.md, skills/jobs-to-be-done/SKILL.md, skills/proto-persona/SKILL.md

Bundled files

The model reads these on demand while the skill is loaded. They are exposed as readable files and are never executed.

Frequently asked questions

What does the Positioning Statement AI skill do?

Create a Geoffrey Moore-style positioning statement. Use when clarifying who you serve, what problem you solve, your category, and why you're different from alternatives.

Why use Positioning Statement on TypingMind?

Because you install it once and use it with any model. Positioning Statement is plain Markdown rather than provider-specific code, so the same skill runs on GPT-5, Claude, Gemini, Grok, or a local model — and you can switch model mid-chat without it breaking. TypingMind runs on your own API keys, so you pay providers directly instead of a per-seat subscription, and your skills and chats stay in your own storage.

How do I install Positioning Statement in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/deanpeters/Product-Manager-Skills/tree/main/skills/positioning-statement. TypingMind reads its SKILL.md and bundles its files and installs it as a skill you can enable per chat.

Which AI models can use Positioning Statement?

Any model you connect in TypingMind. AI skills are plain Markdown instructions rather than provider-specific code, so GPT, Claude, Gemini, Grok, and local models can all load this skill when a request matches it.

How many AI models can I use with Positioning Statement?

As many as you like. As long as a model supports skills, you can use Positioning Statement with it — GPT, Claude, Gemini, Grok, DeepSeek, Mistral, Llama and more — all on TypingMind with your own API keys.

Is the Positioning Statement AI skill free?

It is published on GitHub by deanpeters. Check the repository for licensing terms. You only pay your own AI provider for the tokens you use.

What are AI skills?

An AI skill is a reusable instruction bundle that teaches an AI model how to do one specific task. It follows the open Agent Skills format: a SKILL.md file with a name and description, plus any scripts, templates or reference files the model may need. The model reads the instructions only when your request matches the skill, so an installed skill costs nothing until it is used.

How are AI skills different from plugins or MCP servers?

A plugin or MCP server gives a model new tools to call — code that runs somewhere and returns a result. An AI skill gives the model knowledge and process instead: how to approach a task, which steps to follow, what good output looks like. Skills are plain Markdown, so they need no server, no API key and no runtime, and they work with any model.

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