Define Jtbd Canvas logo

Define Jtbd Canvas

Organization
product-on-purpose
define-jtbd-canvas

Creates a Jobs to be Done canvas capturing the functional, emotional, and social dimensions of a customer job. Use when deeply understanding customer motivations, designing for jobs, or reframing product positioning.

Overview

Publisherproduct-on-purpose
Repositorypm-skills
Skill namedefine-jtbd-canvas
Stars
717
Forks
92
Bundled files
4
LicenseApache-2.0
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.

  • 4 bundled files

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

  • Open source

    Published by product-on-purpose on GitHub. Read the source before you install it.

Installation

Install the Define Jtbd Canvas 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/product-on-purpose/pm-skills/tree/main/skills/define-jtbd-canvas
  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/product-on-purpose/pm-skills.git /tmp/pm-skills
mkdir -p .claude/skills
cp -r /tmp/pm-skills/skills/define-jtbd-canvas .claude/skills/define-jtbd-canvas
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Define Jtbd Canvas 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 Define Jtbd Canvas 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 Define Jtbd Canvas 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.

Jobs to be Done Canvas

A Jobs to be Done (JTBD) canvas captures the complete picture of why customers "hire" products to make progress in their lives. Based on Clayton Christensen's framework, JTBD goes beyond features and demographics to understand the underlying motivations.functional, emotional, and social.that drive customer behavior.

When to Use

  • When deeply researching customer motivations before building
  • To reframe product positioning around customer progress
  • When existing personas feel too surface-level or demographic
  • During competitive analysis to identify why customers switch
  • When designing marketing messages that resonate
  • To align team on who the customer really is and what they need

When NOT to Use

  • You need a person-shaped artifact (goals, behaviors, quotes) for design or marketing work -> use foundation-persona; the canvas captures the job, the persona captures the person
  • You have no customer research yet -> synthesize interviews first with discover-interview-synthesis; the canvas's insights must trace to research, not assumptions
  • You are framing one specific problem to solve now -> use define-problem-statement
  • You need to map opportunities to a measurable outcome for prioritization -> use define-opportunity-tree

Instructions

When asked to create a JTBD canvas, follow these steps:

  1. Identify the Job Performer Define who is doing this job. Go beyond demographics to capture the circumstance they're in. The same person can have different jobs in different situations.

  2. Articulate the Circumstance Describe when and where this job arises. Jobs are triggered by specific situations. Understanding context helps predict when customers will seek a solution.

  3. Write the Job Statement Use the format: "When [situation], I want to [motivation], so I can [desired outcome]." The job statement captures the core progress the customer seeks.

  4. Define the Functional Job What is the practical task the customer needs to accomplish? This is the tangible, measurable part of the job. Be specific about what "done" looks like.

  5. Capture the Emotional Job How does the customer want to feel during and after the job? Emotional jobs often drive decisions more than functional ones. Include both desired feelings and feelings to avoid.

  6. Identify the Social Job How does the customer want to be perceived by others? Social jobs relate to status, identity, and relationships. Not all jobs have strong social dimensions.

  7. Map Competing Solutions What are customers currently "hiring" to do this job? Include direct competitors, indirect alternatives, and non-consumption (doing nothing). Understanding current solutions reveals what to compete against.

  8. Define Hiring Criteria What makes customers choose one solution over another? What are the "must haves" vs. "nice to haves"? This informs positioning and prioritization.

Output Format

Use the template in references/TEMPLATE.md to structure the output. A complete canvas fills every template section: Job Overview; Job Performer; The Circumstance; Job Statement; Functional Job; Emotional Job; Social Job; Competing Solutions; Hiring Criteria; Insights and Implications; Supporting Quotes; and Questions for Further Research.

Quality Checklist

Before finalizing, verify:

  • Job statement follows "When... I want... so I can..." format
  • Circumstance is specific (not just "anytime")
  • Functional job describes tangible outcome
  • Emotional job includes how customer wants to feel
  • Competing solutions include non-obvious alternatives
  • Insights are based on research, not assumptions

Examples

See references/EXAMPLE.md for a completed example.

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 Define Jtbd Canvas AI skill do?

Creates a Jobs to be Done canvas capturing the functional, emotional, and social dimensions of a customer job. Use when deeply understanding customer motivations, designing for jobs, or reframing product positioning.

Why use Define Jtbd Canvas on TypingMind?

Because you install it once and use it with any model. Define Jtbd Canvas 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 Define Jtbd Canvas in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/product-on-purpose/pm-skills/tree/main/skills/define-jtbd-canvas. 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 Define Jtbd Canvas?

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 Define Jtbd Canvas?

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

Is the Define Jtbd Canvas AI skill free?

Yes. It is published on GitHub by product-on-purpose under the Apache-2.0 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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