Tool Design Sprint Map And Target logo

Tool Design Sprint Map And Target

Organization
product-on-purpose
tool-design-sprint-map-and-target

Day 1 (Monday) move of a Design Sprint that produces the bundled Monday artifact containing long-term goal, sprint questions (3-7 testable risks), customer or system map (5-15 step flow), expert interview notes, HMW (How Might We) cluster board, and the Decider's chosen target moment. Use Day 1 morning and afternoon after the sprint brief is locked. Sets the design target for Tuesday's sketches and Wednesday's storyboard.

Overview

Publisherproduct-on-purpose
Repositorypm-skills
Skill nametool-design-sprint-map-and-target
Stars
717
Forks
92
Bundled files
3
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.

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

Installation

Install the Tool Design Sprint Map And Target 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/tool-design-sprint-map-and-target
  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/tool-design-sprint-map-and-target .claude/skills/tool-design-sprint-map-and-target
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Tool Design Sprint Map And Target 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 Tool Design Sprint Map And Target 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 Tool Design Sprint Map And Target 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.

Design Sprint Map and Target (Monday)

Produce Monday's bundled artifact: the long-term goal that names success in 1-5 years; 3-7 sprint questions converting team fears into testable risks; a 5-15 step customer or system map from key player to outcome; expert interview notes from cameo experts run in parallel; HMW (How Might We) clusters synthesized from the team; and the Decider's chosen target moment. Monday's output becomes Tuesday's design target.

Family contract: docs/reference/skill-families/design-sprint-skills-contract.md. This skill is a member of design-sprint-skills.

When to Use

  • It is Day 1 of the Design Sprint and the brief is locked (via tool-design-sprint-brief).
  • The team is together (in-person, remote, or hybrid) for the full Monday workshop.
  • Expert interviews are scheduled for Monday afternoon (cameo role; 15-30 minutes each).
  • The team needs to converge from "five days of work ahead" to "this specific target moment is what we're prototyping."

When NOT to Use

  • The brief is not locked. Return to tool-design-sprint-brief; without sprint questions, this skill has nothing to converge toward.
  • The challenge is so broad that "long-term goal" would be longer than 5 years. Return to problem framing.
  • The team is missing the Decider. The target-moment selection at the end of Monday is the Decider's call; without that call the team disperses Tuesday with no agreed direction.
  • The team has already pre-decided the target moment. Monday's value is in the convergence; if it's been pre-decided, Monday becomes ratification theater.

What This Skill Produces

A single bundled artifact with six sections:

  1. Long-term goal: one sentence naming success in 1-5 years. Aspirational; cannot be hit in this sprint, but should be visible from the target moment.
  2. Sprint questions: 3-7 questions converting team fears into testable risks. Phrased as "Can we... ?" or "Will... ?" or "How... ?"; NOT phrased as solutions.
  3. Customer or system map: 5-15 step flow from key player(s) at the left to outcome (long-term goal) at the right. Includes major actors, decision points, and current alternatives.
  4. Expert interview notes: synthesized observations from 2-4 cameo experts interviewed Monday afternoon. Surfaced as HMW candidates for the cluster board.
  5. HMW cluster board: 30-100+ How Might We notes from the team, clustered into 4-8 themes; voted with tool-note-and-vote heat-map mechanic to surface top clusters.
  6. Target moment: the single point on the map (or a tight cluster of points) the Decider picks as the prototyping target. Wednesday's storyboard begins from here.

See references/TEMPLATE.md for the canonical structure and references/EXAMPLE.md for the Brainshelf book-catalog Monday artifact.

Inference Inputs

InputWhat the skill does with it
Sprint brief (from tool-design-sprint-brief)Pulls the locked sprint questions as seed for refinement; pulls the challenge statement as the long-term goal seed; pulls the team roster for role assignments in note-and-vote
Existing researchUsed to draft the customer or system map; researcher walks the team through key findings during the map step
AnalyticsQuantitative grounding for the map's decision-point branch points and abandonment moments
Customer examplesConcrete stories used to validate the map's key player and surface map-step gaps
Expert interview transcripts (run during Monday)Synthesized into HMW candidates by the moderator (typically PM or researcher) during the afternoon

Monday Time Structure

The full Monday workshop is approximately 7 hours (09:00-12:30 + 13:30-17:00). The skill's bundled artifact emerges across the day:

  • 09:00-09:30: Welcome + brief recap + introductions (does not produce artifact content)
  • 09:30-10:30: Long-term goal (one sentence) + draft sprint questions (3-7)
  • 10:30-12:30: Customer or system map draft (continuous-flow whiteboard work; team builds together)
  • 12:30-13:30: Lunch + first expert interview slot (cameo)
  • 13:30-15:30: Remaining expert interviews (3 slots; 25 min each); team captures HMWs continuously during interviews
  • 15:30-16:30: HMW cluster board synthesis; team adds final HMWs; Facilitator clusters; team heat-map votes via tool-note-and-vote
  • 16:30-17:00: Decider picks target moment; signs off; team disperses for Tuesday sketches

This skill's 105-minute timebox covers the facilitated synthesis sections (long-term goal + sprint questions + map draft + HMW clustering + target selection). Expert interviews and silent map-extension work happen in parallel and are not counted in the timebox.

Common Pitfalls

  • Long-term goal too short. "Ship Brainshelf MVP by Q3" is a roadmap goal, not a long-term goal. The long-term goal is 1-5 years out and aspirational ("Become the default way 25+/year readers remember and recall books").
  • Sprint questions phrased as solutions. "Build the camera-capture flow" is a solution; "Can we get sub-3-second capture without abandonment?" is a sprint question. The team must convert fears into questions, not predetermined answers.
  • Map too detailed. 5-15 steps, not 50. The map is for Decider orientation, not engineering documentation. If the map balloons, the Facilitator forces compression.
  • Skipping HMW because "we already know the opportunities." HMW's value is divergent surfacing followed by convergent voting. Pre-deciding the opportunities skips both halves.
  • Decider absent at target-moment selection. The whole point of Monday is the Decider's target choice. If the Decider must leave early, target selection must happen before they leave, even if HMW clustering compresses.
  • Expert interviews skipped or run by the wrong person. Experts bring outside context the team can't generate internally. Skipping them produces an inward-looking Monday. Running them as group calls (instead of small cameo conversations) wastes expert time and produces less useful HMW input.

Cross-Skill Usage

Prerequisites: tool-design-sprint-brief. Map-and-Target consumes the locked sprint brief and refines the sprint questions during the morning. Without a brief, this skill has no convergence target.

This skill invokes tool-note-and-vote twice during the day: once for HMW cluster heat-map voting (anonymous dot-voting to surface top 4-8 clusters) and optionally once for target-moment supervote when the Decider wants team input before deciding. The Decider's call is final regardless of team vote distribution.

Next invocation in the sprint: tool-design-sprint-sketch Tuesday morning.

Canonical Sources

Decider Checkpoint

This skill ends with a Decider Checkpoint in references/TEMPLATE.md. The Decider's call at the end of Monday is target-moment selection: a single point (or tight cluster of points) on the customer or system map that becomes Tuesday's design target. Without that selection, Tuesday's sketches diverge with no shared direction. The Decider also confirms the long-term goal, the sprint questions, and the top HMW clusters; these become Wednesday's heat-map orientation.

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 Tool Design Sprint Map And Target AI skill do?

Day 1 (Monday) move of a Design Sprint that produces the bundled Monday artifact containing long-term goal, sprint questions (3-7 testable risks), customer or system map (5-15 step flow), expert interview notes, HMW (How Might We) cluster board, and the Decider's chosen target moment. Use Day 1 morning and afternoon after the sprint brief is locked. Sets the design target for Tuesday's sketches and Wednesday's storyboard.

Why use Tool Design Sprint Map And Target on TypingMind?

Because you install it once and use it with any model. Tool Design Sprint Map And Target 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 Tool Design Sprint Map And Target in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/product-on-purpose/pm-skills/tree/main/skills/tool-design-sprint-map-and-target. 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 Tool Design Sprint Map And Target?

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 Tool Design Sprint Map And Target?

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

Is the Tool Design Sprint Map And Target 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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