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Dt Methods

MicrosoftOfficialPublished by Microsoft

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  • Business and productivity
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From the author

Design Thinking method coaching knowledge across all nine methods including per-method techniques, deep expertise, and industry context (energy, financial services, healthcare, manufacturing, nonprofit and social impact, pharmaceuticals and life sciences, professional services, public sector, retail and CPG)
— the description by Microsoft

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

  1. Download the skill as a ZIP:

    https://mp-staging.autogineer.com/agent-skills/microsoft/dt-methods/download
  2. Unzip 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

Industry context references

Load the matching reference when the team identifies its industry context.

ReferenceWhen to load
industry-energy.mdEnergy-sector vocabulary, constraints, empathy tools, and reference scenario.
industry-financial-services.mdFinancial services vocabulary, constraints, empathy tools, and reference scenario.
industry-healthcare.mdHealthcare vocabulary, constraints, empathy tools, and reference scenario.
industry-manufacturing.mdManufacturing vocabulary, constraints, empathy tools, and reference scenario.
industry-nonprofit-social-impact.mdNonprofit and social impact vocabulary, constraints, empathy tools, and reference scenario.
industry-pharmaceuticals-life-sciences.mdPharmaceuticals and life sciences vocabulary, constraints, empathy tools, and reference scenario.
industry-professional-services.mdProfessional services vocabulary, constraints, empathy tools, and reference scenario.
industry-public-sector.mdPublic sector and government vocabulary, constraints, empathy tools, and reference scenario.
industry-retail-cpg.mdRetail 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.md

Files

references/method-02-research.md


title: 'DT Method 02: Design Research' description: Design Thinking Method 02 (Design Research) for empathy-building user research and field observation.

Systematic discovery of end-user needs through direct engagement (interviews, observations, surveys) transforms abstract business problems into concrete user insights. Skipping this method results in building solutions that stakeholders want but users do not need.

Purpose

Bridge the gap between stakeholder assumptions and actual user experiences by discovering what problems users really face in their work environment.

Sub-Method Phases

Phase 1: Research Planning

Translate Method 1 scope findings into a structured research strategy. Determine which users to engage, what methods to use, and how to sequence activities.

Exit criteria: a research plan exists with prioritized objectives, tiered user targets, selected methods, and a timeline.

Phase 2: Research Execution

Conduct interviews, observations, and surveys. Adapt questions based on emerging discoveries. Capture raw data including direct quotes, environmental measurements, and workflow observations.

Exit criteria: raw interview notes and observation logs exist for each session with direct quotes and specific observations.

Phase 3: Research Documentation

Organize raw findings into structured artifacts ready for Method 3 synthesis. Anchor every insight to direct evidence.

Exit criteria: a findings document exists with evidence-backed patterns, environmental constraint documentation, and assumption validation results.

Coaching Hats

Two specialized hats activate based on conversation context. See method-02-deep.md for detailed hat guidance, activation triggers, and coaching focus areas.

HatRoleActivation
Research DesignerGuides study design, user prioritization, resource optimizationPlanning discussions, resource constraints, research protocol
Empathy GuideReal-time interview coaching, follow-up questions, pattern recognitionInterview responses, observation notes, challenging dynamics

Research Discovery

Curiosity-Driven Research
  • "Walk me through a typical day when you need to [accomplish core task]."

  • "What happens when you encounter [challenge/obstacle]?"

  • "How do you currently work around that limitation?"

Environmental Constraint Discovery
  • "Show me where you actually do this work."

  • "What environmental factors make this harder than it should be?"

  • "What tools or systems do you currently use for this?"

Research Planning

Structure research targets into three tiers:

  • Tier 1: direct end users who experience the problem daily

  • Tier 2: adjacent stakeholders who influence or are affected by the problem

  • Tier 3: organizational or technical contacts providing system context

Follow a universal discovery sequence: Environmental Observation, then Workflow Interviews, then Constraint Validation, then Unmet Need Exploration.

A research plan covers: prioritized objectives, tiered user targets with access strategies, method selection matched to objectives, timeline, and compliance protocols.

Interview Techniques

Design questions for discovery rather than confirmation. See method-02-deep.md for detailed question patterns, live coaching strategies, and recovery techniques.

  • Use open-ended questions about specific situations and workflows, not abstract preferences

  • Follow workarounds and adaptations: user-created solutions reveal unmet needs

  • Avoid leading questions that confirm existing assumptions

Environmental Observation

Combine interviews with direct observation of work environments.

  • Physical conditions: noise, contamination, temperature, safety, lighting

  • Technology interaction: devices, barriers to use, workaround artifacts

  • Workflow sequences: actual task execution versus documented procedures

  • Communication patterns: channels, breakdowns, informal information sharing

Lo-Fi Quality Enforcement

Method 2 artifacts enforce raw-data fidelity. The coach actively prevents premature synthesis.

  • Capture direct user quotes, not paraphrased summaries

  • Record specific environmental details rather than general impressions

  • Keep researcher reflections separate from raw observations

  • Defer categorization and theming to Method 3

  • Redirect solution proposals during research back to deeper constraint understanding

Mid-Session Subagent Dispatch

The coach can delegate parallel research analysis to subagents (cross-interview patterns, constraint catalogs, assumption validation) while continuing the conversation. See method-02-deep.md for dispatch protocol and task examples.

Quality Rules

  • Assign insight confidence levels: High (multiple sources confirm), Medium (good evidence but limited), Low (requires additional validation)

  • Identify research gaps explicitly. Gaps left unacknowledged propagate into flawed synthesis.

  • Insights that surprise stakeholders indicate genuine discovery. Insights confirming initial assumptions suggest confirmation bias.

Research Goals

Accomplish
  • Genuine need discovery: uncover actual user problems, not confirmation of assumed needs

  • Environmental context: map physical, technical, and organizational constraints

  • Workflow integration: understand how solutions must fit existing processes

Avoid
  • Solution validation: resist testing predetermined ideas

  • Checklist interviewing: avoid rigid scripts preventing adaptive exploration

Success Indicators

  • Environmental factors documented with specific design implications

  • User workflows mapped including informal workarounds

  • Constraints identified with measurable detail

  • Patterns consistent across multiple users

  • Insights surprise stakeholders

Artifact Structure

Method 2 artifacts at .copilot-tracking/dt/{project-slug}/method-02-research/:

  • research-plan.md: prioritized objectives, tiered user targets, methods, timeline

  • interview-{nn}-{user-role}.md: raw notes with direct quotes and observations

  • observation-{nn}-{context}.md: environmental observation logs

  • findings-summary.md: evidence-backed patterns and assumption validation

  • constraint-catalog.md: structured constraint catalog with design implications

Input from Method 1

  • Identified end-user groups and access pathways

  • Business problem hypotheses to investigate

  • Stakeholder assumptions to validate

  • Environmental constraint initial understanding

Output to Method 3

  • Interview findings with direct quotes and observations

  • Environmental constraint documentation with design implications

  • Workflow integration requirements

  • Unmet need patterns across user groups

  • Assumption validation results

  • 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

Security

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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)
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Download ZIP

The ZIP holds the skill’s files, its licence files and an ATTRIBUTION.md. Download dt-methods.zip