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Pm Market Problems

Community
julianoczkowski
pm-market-problems

Run Pragmatic Institute market discovery and validate real market problems before anything gets built. Use when a PM says "I want to build a feature", "do market research", "talk to customers", "discovery", "validate this idea", "is this problem real", "NIHITO", or "who should I interview". Enforces the outside-in rule: build only for problems that are urgent, pervasive, and that the market will pay to solve. Produces a Market Discovery Document and a Market Problems Table as a Markdown or Word .docx artifact.

Overview

Publisherjulianoczkowski
Repositoryproduct-manager
Skill namepm-market-problems
Stars
51
Forks
7
Bundled files
Instructions only
LicenseMIT
Links
  • 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.

  • Self-contained

    Everything the model needs lives in the instructions — no extra files to sync.

  • Open source

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

Installation

Install the Pm Market Problems 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.
    https://github.com/julianoczkowski/product-manager/tree/main/skills/pm-market-problems
  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/julianoczkowski/product-manager.git /tmp/product-manager
mkdir -p .claude/skills
cp -r /tmp/product-manager/skills/pm-market-problems .claude/skills/pm-market-problems
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Pm Market Problems 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 Pm Market Problems 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 Pm Market Problems 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.

Market Problems — discovery & validation (Framework: Market → Market Problems)

Rule: The answers to most of your questions are not in the building. Discover, collect, analyze and communicate problems found in the market, then validate they are urgent, pervasive, and that the market is willing to pay to solve them. See ../pm-copilot/references/framework.md for the full map.

Who to listen to

The Noisy 20% vs. the Quiet 80%. The noisy 20% (your most excited/unhappy customers plus loud internal voices — an exec's advisory board, a big-client sales rep, support) give a limited, skewed view. The quiet 80% won't come to you; you must go find them (industry conferences — leave your booth; professional associations; LinkedIn; end-user training). Noisy customers don't represent the whole market.

The four market segments — each is "a person with a problem." Balance interviews across all four:

SegmentLens they speak throughThe question to ask
Customers (bought yours)your product"What other problems should we be solving for you that we aren't solving today?"
Competitors' Customersthe competitor's product"What other problems should we solve that your current product isn't solving?"
Evaluators (shopping now)win/loss — don't disrupt the sale"Why did we win (or lose) your business?"
Potentials (not shopping)no lens — best for innovation"What problems are you facing, and why are you not looking for a solution?"

NIHITO — Nothing Interesting Happens In The Office. Recommend ~10 market visits per product manager per quarter. It feels like cold calling, but you aren't selling — state what's in it for them and expect many "no"s.

Discovery techniques

Observation — take thorough notes, look for patterns, minimize interruptions; if something catches your eye, ask. Answer: What do customers do / how / why? What's done manually that could be automated? What's multi-step that could be streamlined? How do they interact with your product? When do they use other systems, search for info, or need help?

Interview — prepare beforehand; use high-gain, open-ended questions; spend most of the time listening, not educating. Ask: What obstacles keep you from your goals? How are your goals measured? What do you think about our product/company? What else have you considered? How bad is the problem? How bad do things have to get before they're fixed? Where does this fall on your priorities?

Validate the problem — the three-part test

An opportunity is the intersection of all three (fail any one → don't build):

  • Urgency — When is it urgent? Where is the urgency coming from? What's the level?
  • Pervasiveness — Is it big enough to build a business on? (look for the quiet 80%)
  • Willingness to pay — Is it painful enough to pay to solve? Who will pay — and will they pay you?

Validate quantitatively with surveys (close-ended questions on the three criteria — avoid leading questions) and experimentation (inexpensive, low-fidelity tests of your hypothesis).

Interview the user (batch questions)

  1. What product/feature area, and who do you think has the problem (persona/segment)?
  2. What evidence do you already have (interviews, tickets, win/loss, usage, surveys)?
  3. Which of the four segments have you actually talked to? Which are you missing?
  4. For each candidate problem: how urgent, how pervasive, would they pay — and what's the proof?

Artifact templates

Market Discovery Document (one per visit/interview — one file each, named

01-market-discovery-<contact-or-org>.md per artifact-output.md)

markdown
# Market Discovery Document

**Company:** <company>  ·  **Feature / Product:** <feature / product name>
**Author:** <author>  ·  **Date created:** <date>  ·  **Version:** 1.0

## Contact Info
- **Name:**  |  **Title:**  |  **Organization:**
- **Work phone:**  |  **Email:**  |  **Website:**

## Product Info
- **Product name:**

## Purpose of Call
<why you're talking to them>

## Call Notes
<what they said — verbatim where possible>

## Key Observations and Problems
<problems in the persona's first-person voice; note urgency / pervasiveness / willingness-to-pay signals; which segment>

Market Problems Table (roll-up across discovery)

markdown
# Market Problems Table — <product / market>

**Company:** <company>  ·  **Feature / Product:** <feature / product name>
**Author:** <author>  ·  **Date created:** <date>

| Persona | Problem Name (first person) | Market Evidence | Impact (1–5, 99999=contractual) | Priority (Evidence × Impact) | Group |
| :--- | :--- | ---: | ---: | ---: | :--- |
| <persona> | "I can't …" | <count of inputs> | <1–5> | <=E×I> | <theme> |

**Market Evidence** = tally of documented occurrences across inputs (interviews, surveys,
sales calls, support tickets, win/loss, analyst reports, reviews, usage data).
Sort by Priority descending. Problems that clear urgent + pervasive + willing-to-pay
become candidate requirements.

Deliver the artifact

Follow ../pm-copilot/references/artifact-output.md: confirm inputs (flag thin evidence and recommend specific NIHITO visits to fill it), ask Markdown or .docx, write the .md, and convert to .docx on request via your environment's native document-creation capability. Then offer the next stage: define pm-personas for the people who have these problems, or write pm-positioning around the validated problems.

Frequently asked questions

What does the Pm Market Problems AI skill do?

Run Pragmatic Institute market discovery and validate real market problems before anything gets built. Use when a PM says "I want to build a feature", "do market research", "talk to customers", "discovery", "validate this idea", "is this problem real", "NIHITO", or "who should I interview". Enforces the outside-in rule: build only for problems that are urgent, pervasive, and that the market will pay to solve. Produces a Market Discovery Document and a Market Problems Table as a Markdown or Word .docx artifact.

Why use Pm Market Problems on TypingMind?

Because you install it once and use it with any model. Pm Market Problems 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 Pm Market Problems in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/julianoczkowski/product-manager/tree/main/skills/pm-market-problems. TypingMind reads its SKILL.md and installs it as a skill you can enable per chat.

Which AI models can use Pm Market Problems?

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 Pm Market Problems?

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

Is the Pm Market Problems AI skill free?

Yes. It is published on GitHub by julianoczkowski under the MIT license. 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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