Dt Methods
MicrosoftOfficialPublished by Microsoft
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- Business and productivity
- MIT
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AutoGineer summary
Written by AutoGineer from the skill’s own files, not by the author
The dt-methods skill provides a structured reference system for AI agents to coach teams through the Design Thinking process. It organizes guidance into three layers: core method references for day-to-day activities, deep references for advanced facilitation and recovery, and industry-specific context to tailor vocabulary and constraints. The skill covers nine major industries, including energy, healthcare, and financial services, ensuring that coaching is grounded in the specific operational realities and regulatory environments of the user's sector.
What it does
- Provides step-by-step guidance for nine core Design Thinking methods.
- Offers advanced facilitation techniques and recovery strategies for complex scenarios.
- Maps Design Thinking concepts to industry-specific terminology and constraints.
- Integrates telemetry expectations for session artifacts to ensure observable outcomes.
- Supplies industry-specific empathy tools and stakeholder considerations.
- Supports tailoring of coaching based on the active method and identified industry context.
When to use it
- When facilitating a Design Thinking session and requiring method-specific guidance.
- When a team needs advanced troubleshooting or recovery techniques during a workshop.
- When applying Design Thinking within a specific industry to ensure relevant vocabulary and constraints are respected.
- When defining telemetry or audit trails for Design Thinking session artifacts.
Advantages
- Ensures consistent coaching across the entire Design Thinking lifecycle.
- Reduces friction by using industry-appropriate language and concepts.
- Provides a clear path for scaling from basic methods to advanced facilitation.
- Integrates operational and regulatory awareness into the design process.
Usage examples
- “How should I facilitate a brainstorming session for a team in the energy sector?”
- The agent will load the brainstorming method reference and the energy industry context, providing guidance that uses energy-specific terms like 'reliability concern' and 'forced outage rate' while emphasizing safety and regulatory constraints.
- “We are stuck during the user research phase; what advanced techniques can we use?”
- The agent will access the deep reference for the Design Research method to provide advanced facilitation strategies and recovery techniques to help the team overcome their current roadblock.
Install
Download the skill as a ZIP:
https://mp-staging.autogineer.com/agent-skills/microsoft/dt-methods/downloadUnzip it into the cross-client skills folder of your project:
mkdir -p .agents/skills && unzip dt-methods.zip -d .agents/skills
Documentation by Microsoft
Design Thinking Methods Skill
Entrypoint for Design Thinking method coaching knowledge. The dt-coach agent loads the method reference matching the active method in coaching state, the matching deep reference when advanced technique is needed, and the industry reference when an industry context applies.
How to use this skill
Read the method reference for the method currently active in coaching state to ground day-to-day coaching.
Read the matching deep reference when the conversation needs advanced facilitation, recovery techniques, or expert frameworks beyond the core method guidance.
Read the industry reference when the team has identified one of the nine covered industries as their context, and weave its vocabulary, constraints, and empathy tools into method-specific guidance.
Read dt-coach-telemetry.md when DT session artifacts need observable telemetry expectations grounded in
telemetry-foundations.
Method references
| Method | Name | Core reference | Deep reference |
|---|---|---|---|
| 1 | Scope Conversations | method-01-scope.md | method-01-deep.md |
| 2 | Design Research | method-02-research.md | method-02-deep.md |
| 3 | Input Synthesis | method-03-synthesis.md | method-03-deep.md |
| 4 | Brainstorming | method-04-brainstorming.md | method-04-deep.md |
| 5 | User Concepts | method-05-concepts.md | method-05-deep.md |
| 6 | Low-Fidelity Prototypes | method-06-lofi-prototypes.md | method-06-deep.md |
| 7 | High-Fidelity Prototypes | method-07-hifi-prototypes.md | method-07-deep.md |
| 8 | User Testing | method-08-testing.md | method-08-deep.md |
| 9 | Iteration at Scale | method-09-iteration.md | method-09-deep.md |
Industry context references
Load the matching reference when the team identifies its industry context.
| Reference | When to load |
|---|---|
| industry-energy.md | Energy-sector vocabulary, constraints, empathy tools, and reference scenario. |
| industry-financial-services.md | Financial services vocabulary, constraints, empathy tools, and reference scenario. |
| industry-healthcare.md | Healthcare vocabulary, constraints, empathy tools, and reference scenario. |
| industry-manufacturing.md | Manufacturing vocabulary, constraints, empathy tools, and reference scenario. |
| industry-nonprofit-social-impact.md | Nonprofit and social impact vocabulary, constraints, empathy tools, and reference scenario. |
| industry-pharmaceuticals-life-sciences.md | Pharmaceuticals and life sciences vocabulary, constraints, empathy tools, and reference scenario. |
| industry-professional-services.md | Professional services vocabulary, constraints, empathy tools, and reference scenario. |
| industry-public-sector.md | Public sector and government vocabulary, constraints, empathy tools, and reference scenario. |
| industry-retail-cpg.md | Retail and consumer goods vocabulary, constraints, empathy tools, and reference scenario. |
Skill layout
.
├── SKILL.md
└── references/
├── method-01-scope.md
├── method-01-deep.md
├── method-02-research.md
├── method-02-deep.md
├── method-03-synthesis.md
├── method-03-deep.md
├── method-04-brainstorming.md
├── method-04-deep.md
├── method-05-concepts.md
├── method-05-deep.md
├── method-06-lofi-prototypes.md
├── method-06-deep.md
├── method-07-hifi-prototypes.md
├── method-07-deep.md
├── method-08-testing.md
├── method-08-deep.md
├── method-09-iteration.md
├── method-09-deep.md
├── industry-energy.md
├── industry-financial-services.md
├── industry-healthcare.md
├── industry-manufacturing.md
├── industry-nonprofit-social-impact.md
├── industry-pharmaceuticals-life-sciences.md
├── industry-professional-services.md
├── industry-public-sector.md
├── industry-retail-cpg.md
└── dt-coach-telemetry.mdFiles
- ATTRIBUTION.mdAdded by AutoGineer871 B
- LICENSELicence file added by AutoGineer1.1 KiB
- SKILL.md6.5 KiB
- references/dt-coach-telemetry.md1.5 KiB
- references/industry-energy.md9.1 KiB
- references/industry-financial-services.md10.7 KiB
- references/industry-healthcare.md7.7 KiB
- references/industry-manufacturing.md6.7 KiB
- references/industry-nonprofit-social-impact.md15.6 KiB
- references/industry-pharmaceuticals-life-sciences.md20.1 KiB
- references/industry-professional-services.md14.0 KiB
- references/industry-public-sector.md12.1 KiB
- references/industry-retail-cpg.md16.5 KiB
- references/method-01-deep.md10.4 KiB
- references/method-01-scope.md10.2 KiB
- references/method-02-deep.md15.6 KiB
- references/method-02-research.md7.0 KiB
- references/method-03-deep.md13.9 KiB
- references/method-03-synthesis.md8.9 KiB
- references/method-04-brainstorming.md13.6 KiB
- references/method-04-deep.md16.5 KiB
- references/method-05-concepts.md17.1 KiB
- references/method-05-deep.md17.7 KiB
- references/method-06-deep.md16.3 KiB
- references/method-06-lofi-prototypes.md17.2 KiB
- references/method-07-deep.md10.9 KiB
- references/method-07-hifi-prototypes.md9.8 KiB
- references/method-08-deep.md15.0 KiB
- references/method-08-testing.md11.5 KiB
- references/method-09-deep.md17.2 KiB
- references/method-09-iteration.md11.9 KiB
references/method-01-scope.md
title: 'DT Method 01: Scope Conversations' description: Design Thinking Method 01 (Scope Conversations) for framing the design challenge and aligning stakeholders.
Scope conversations transform initial customer requests into genuine understanding of business challenges. This method cannot be skipped. Without this foundation, engagements solve the wrong problems efficiently.
Purpose
Discover and verify the underlying problems of the customer's business and identify high-value problems to solve through nuanced discussion with primary stakeholders.
Sub-Methods
| Sub-Method | Focus | Coaching Behavior |
|---|---|---|
| 1a: Scope Planning | Planning | Help the user identify key stakeholders and define conversation goals. Ask: "Who experiences this problem most directly?" |
| 1b: Scope Execution | Execution | Guide stakeholder conversations. Help frame questions that reveal assumptions: "What would change if [stakeholder] described the problem?" |
| 1c: Scope Documentation | Documentation | Capture outputs: stakeholder map, scope boundaries, known vs assumed. Help organize without polishing. |
Specialized Hats
| Hat | Role | Activation |
|---|---|---|
| Stakeholder Mapper | Guides identification and relationship mapping of affected parties | During 1a and 1b |
| Scope Framer | Helps articulate boundaries, constraints, and open questions | During 1b and 1c |
Artifact Outputs
Outputs stored at .copilot-tracking/dt/{project-slug}/method-01-scope/:
stakeholder-map.mdcaptures stakeholder groups, relationships, and influence levels.scope-boundaries.mdrecords what is in scope, out of scope, and open questions.assumptions-log.mdtracks known facts vs assumptions to validate.
Lo-Fi Quality Enforcement
Method 1 artifacts are explicitly rough:
Stakeholder maps are bullet lists or simple tables, not polished diagrams.
Scope boundaries are conversational, not formal requirements documents.
Assumptions are captured as-is, not analyzed or prioritized yet.
Frozen vs Fluid Assessment
Every customer engagement begins with classifying the initial request. Classification shapes the entire conversation strategy.
Fluid Requests
Vague desires that need focus and direction. Example: "We want to use AI."
Coaching approach for fluid requests:
Focus on business goals and specific metrics the customer wants to drive and change.
Explore how AI has been used in admired companies.
Identify manual processes in the business unit that could benefit from automation.
Suggest starting with a brainstorming workshop to explore AI possibilities and gather ideas from business arms.
Frozen Requests
Specific solution requests that may mask the real problem. Example: "Build me a chatbot for our manufacturing floor."
Coaching approach for frozen requests:
Acknowledge their thinking before exploring further: "It sounds like you've thought this through and have a solid plan."
Ask what drives the specific request and what problem it solves.
Explore business impact expectations: time savings, cost reduction, quality improvement.
Understand current state and existing processes before discussing future state.
Surface solution complexity: "There really are a dozen different kinds of chatbots that could be built."
Classification Signals
Frozen requests contain both a specific technology and a specific context.
Fluid requests express broad aspiration without a defined problem or solution.
Frozen requests often hide fluid underlying needs; do not assume obvious classifications.
When uncertain, classify as frozen and explore the driving problem.
Stakeholder Discovery
Map the full ecosystem of people who influence or are impacted by potential solutions.
Three Tiers of Stakeholders
Primary: decision makers, budget holders, daily users
Secondary: influencers, supporters, potential resistors
Hidden: compliance, regulatory, union representatives, IT security
Discovery Patterns
Ask "who else should we talk to?" and "who would use this day-to-day?" in every conversation.
Map real power dynamics: formal authority and actual influence often differ.
Sequence engagement thoughtfully: some stakeholders provide context that informs conversations with others.
Consider how conversations with one group affect relationships with another.
Identify experts and SMEs for design research in Method 2.
Stakeholder-Specific Conversation Strategies
Visionaries: connect big ideas to concrete metrics.
Skeptics: address concerns while demonstrating value through insightful questions.
Detail-oriented stakeholders: honor expertise while broadening scope.
Busy executives: maximize efficiency while building relationships.
Constraint Discovery
Environmental constraints often reveal why initial solution requests will not work and point toward better alternatives.
Physical Environment
"Walk me through the actual workspace where this would be used."
"What are the environmental conditions like?" (noise, temperature, safety requirements)
"How do people currently interact with technology in this environment?"
Operational Workflow
"How does this fit into people's current daily routine?"
"What happens when the current process breaks down?"
"What are the time pressures and deadlines involved?"
Technical Reality
"What technology infrastructure is already in place?"
"Are there security or compliance requirements we should know about?"
"Who manages technology decisions and implementation?"
Conversation Coaching
Rapport Building
Build rapport before diving deep; understand their perspective and acknowledge their thinking first.
Use a "Yes, and..." approach: acknowledge their thinking, then build on it to deepen understanding rather than pivoting immediately.
Challenge assumptions gently by asking about context rather than rejecting ideas.
Demonstrate genuine curiosity about their business, not just your interpretation of their problem.
Recognize that customers know their business better than the consulting team.
Navigation Techniques
When conversations get stuck or stakeholders become defensive, shift focus from process to user experience.
When stakeholders give evasive responses, note the pattern and explore from a different angle.
When themes repeat across stakeholders, flag the pattern and dig deeper.
When stakeholders insist on a specific solution, ask what drives the urgency rather than blocking.
Help customers see complexity: what seems simple often has many variables and considerations.
Common Pitfalls to Coach Against
Rushing to solutions instead of understanding what to build.
Taking requests at face value without asking "what problem does this solve?" and "why now?"
Skipping stakeholder identification and talking only to the requester.
Making assumptions without validating understanding through summarization.
Agreeing on solutions or implementation during scope conversations.
Scope Conversation Goals
Accomplish
Scope down the problem space from broad challenges to specific, solvable problems.
Map the stakeholder ecosystem including hidden stakeholders.
Identify experts and SMEs for design research.
Understand confidence level in the problem definition.
Surface environmental constraints (physical, operational, technical).
Document the evolution from initial request to discovered problem space.
Avoid
Agreeing on solutions or implementation details.
Locking into the initial request without exploring alternatives.
Quality Rules
Classify constraints as frozen (fixed, non-negotiable) or fluid (malleable, open to change) before proceeding
Success indicator: the customer shares context they had not originally planned to discuss. The initial request evolves or becomes more nuanced.
Document the original request alongside the discovered problem space. The gap between them reveals understanding depth.
Success Indicators
During Conversations
The customer shares context they had not originally planned to discuss.
New stakeholders or user groups are identified.
The initial request evolves or becomes more nuanced.
The customer asks about the team's methodology or approach.
After Conversations
A clear problem statement that differs from the initial request.
An identified list of people to interview in design research.
Shared understanding of what good outcomes look like.
Customer excitement about collaborative discovery.
Transition to Method 2
Use scope conversation outputs to prepare for design research:
Who to interview: end users, SMEs, and decision makers identified during scoping.
What to focus on: specific problem areas and business contexts discovered.
Where to observe: locations, processes, or workflows mentioned as relevant.
Stakeholder map with contact information and interview priorities.
Success criteria and measurement approaches established.
Multi-Stakeholder Validation
Do not rely on a single conversation. Validate key insights across different stakeholder groups:
Primary stakeholder confirms business goals and constraints.
End users verify assumptions about daily reality and pain points.
Technical teams validate infrastructure and implementation constraints.
Decision makers ensure alignment on success criteria and scope.
Document original request versus discovered problem space, key constraints, the stakeholder ecosystem with roles, and business impact expectations as the foundation for all subsequent methods.
All DT coaching artifacts are scoped to
.copilot-tracking/dt/{project-slug}/. Never write DT artifacts directly under.copilot-tracking/dt/without a project-slug directory.
Requirements and compatibility
Written for: GitHub Copilot, Claude Code
Works with: Claude Code, Claude apps, OpenAI Codex, GitHub Copilot, Cursor, Gemini CLI, Kiro, OpenCode, Goose, Amp, Roo Code, JetBrains Junie, Factory Droid, Devin (ex-Windsurf), Mistral Vibe, OpenHands, Letta
“Works with” means the tool reads the open Agent Skills format; a skill written for one tool may use features others lack.
Needs: Claude Code frontmatter
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Attribution and licence
- Published by
- Microsoft
- Publisher
- Microsoft (Official)
- Source
- microsoft/hve-core · .github/skills/design-thinking/dt-methods · commit f425e94
- Licence
- MIT License (redistribution allowed)
- LICENSE (added by AutoGineer from LICENSE)
- ATTRIBUTION.md (written by AutoGineer)
- Synced
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