Generated banner for Dt Methods
Generated logo for Dt Methods

Dt Methods

MicrosoftOfficialPublished by Microsoft

  • Skill
  • Guidelines
  • Business and productivity
  • MIT
  • No issues found

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://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/industry-public-sector.md


title: Public Sector & Government Industry Context description: Public sector and government industry context, vocabulary, and constraints for tailoring Design Thinking methods to this sector.

Load this file when the team identifies public sector or government as their industry context. It provides government-specific vocabulary, constraints, empathy tools, and a reference scenario that the coach weaves into method-specific guidance.

Industry Profile

  • Sector: Federal, state, and local government agencies delivering public services (benefits, licensing, permitting, civil services)

  • Key stakeholders: Caseworkers (frontline staff), program managers, policy officers, constituents/citizens, IT/security/privacy specialists, procurement officers, union representatives, compliance auditors

  • Decision cadence: Real-time (caseworker interactions), daily (shift operations), weekly (program reviews), quarterly (compliance audits), multi-year (budget cycles), political (administration changes every 4-8 years)

  • Regulatory environment: Section 508 (accessibility), FedRAMP (cloud security), Privacy Act, SORN (Systems of Records Notice), FOIA, Plain Language Act, Paperwork Reduction Act (PRA), FISMA, FAR (Federal Acquisition Regulation)

  • Missing voices to seek out: Night/weekend shift caseworkers, constituent representatives from underserved populations, frontline supervisors, IT operations staff, prior unsuccessful pilot participants

Vocabulary Mapping

Bridge DT language and government language bidirectionally. Use government terms when coaching government teams.

DT ConceptGovernment Term
Stakeholder mapRACI chart, organization chart, cross-agency workgroup roster
Pain pointService gap, process inefficiency, compliance violation
User journeyService blueprint, customer journey, constituent experience
Observation / field studyRide-along, case study, site visit, constituent interview
PrototypePilot project, demonstration site, test-and-learn initiative
IterationPDSA cycle (Plan-Do-Study-Act), continuous improvement cycle
EmpathyConstituent voice, lived experience, equity lens
Success metricSLA (Service Level Agreement), KPI, compliance rate
Workflow mappingService blueprint, process flow, business process model
Risk assumptionRoot cause analysis, compliance gap, failure mode analysis
Constraint-driven designRegulatory requirement, policy mandate, appropriation limit
AccessibilitySection 508 compliance, WCAG 2.0 AA conformance
Privacy/dataPII handling, SORN requirement, Privacy Impact Assessment
Solution adoptionChange management, workforce communication, training rollout

Constraints and Considerations

Regulatory Non-Negotiables

Accessibility, privacy, and security are not preferences — they are legal requirements. Section 508 of the Rehabilitation Act mandates WCAG 2.0 AA conformance for all digital services. The Privacy Act restricts how citizen data is collected, used, and retained. FedRAMP pre-certification is required before federal agencies can use cloud services. Designs that violate these constraints will not be approved for deployment, regardless of user benefit. Build compliance into every prototype and test plan.

Burden Hours and PRA Constraints

The Paperwork Reduction Act (PRA) limits how many questions government can ask of the public. Every new question or data collection requires OMB approval and counts against an agency's "burden hours" budget. This directly limits requirement discovery scope — you cannot simply ask citizens to fill out comprehensive surveys or participate in lengthy interviews without PRA approval. Leverage existing data collection authorities (forms already in use, systems already measuring) whenever possible. This constraint often blocks the DT instinct to ask "everything" in discovery research.

Multi-Administration Transitions

Federal leadership changes every 4-8 years, bringing new policy directions and budget priorities. Prior investments may be deprioritized or canceled. Solutions must be framed in terms of durable public value, not incumbent administration objectives. Build sunset clauses, modular contracts, and vendor transition provisions into deployment plans. Expect that your innovation roadmap may be interrupted by political change.

Civil Service Culture and Union Constraints

Government workforce culture emphasizes job security, seniority protection, and role specialization. Union agreements can constrain how work is reorganized, what tasks are automated, and what staffing changes are allowed. Labor negotiations can delay or block changes. Engage union representatives early in the coaching process — they have veto authority alongside security and compliance officers. Frame solutions as tools that support workers, not replacements for jobs.

Digital Divide and Constituent Diversity

Citizens using government services have variable digital literacy, broadband access, language capability, and trust in government systems. Prior failed initiatives (security breaches, fraud, service outages) create skepticism. Solutions must offer phone and paper alternatives to digital pathways. Language access requirements (Title VI, Executive Orders) mandate translation and interpretation. Test extensively with low-literacy, non-English-speaking, and offline-first constituent segments. "Digital first" is not appropriate for public services — "digital and paper" is the public sector model.

Procurement and Contracting Rigidity

Vendor selection is constrained by GSA schedules, competitive procurement rules, and incumbent relationships. Long procurement cycles (6-12+ months) delay implementation. Contracts often specify detailed requirements upfront, making agile iteration difficult without formal change orders. The Federal Acquisition Regulation (FAR) requires competitive bidding for most acquisitions. Engage procurement officers early — the TechFAR Handbook provides guidance for agile procurement, but not all teams are familiar with it. Modular contracting and frequent deliverables are possible within FAR but require intentional contract design.

Legacy System Integration

Most government agencies operate decades-old mainframe systems (COBOL, older databases). New solutions must integrate with or augment legacy systems, not replace them wholesale. "Modernization" in government often means integration and data bridge-building, not greenfield development. Budget and timeline assumptions must account for legacy system constraints and integration testing complexity.

Empathy Tools

Caseworker Ride-Along

Observe a caseworker through a full shift or half-shift. Track case transitions, system navigation, manual workarounds, and information handoffs. Pay attention to moments where the caseworker improvises or works around system limitations — these reveal design gaps and regulatory constraints invisible from policy documents. Observe shift-change handoffs where information is transferred; note what gets lost. Use progressive questioning: "Walk me through a typical case" before drilling into specific workflows. Respect confidentiality — never access actual constituent data without proper authorization.

Constituent Journey (Offline + Online)

Map a constituent's experience applying for a benefit or service across all touchpoints: online portal, phone calls, in-person visits, mailed documents, wait times, status uncertainty. Include the moments before application (research phase) and after approval (onboarding to service). Capture emotional trajectory alongside functional touchpoints. Identify where the constituent must re-explain information to multiple staff, where they lack status visibility, and where language/literacy barriers surface. This reveals system design failures that neither caseworkers nor policy documents surface.

Frontline Supervisor Meeting

Schedule separate time with shift supervisors and team leads. They see patterns across multiple caseworkers and hear about recurring problems, workarounds, and compliance concerns. They often have more candid insights about system limitations and staff burnout than individual caseworkers (due to hierarchy dynamics). Supervisors also bridge to policy/compliance layers — understand what mandates flow down and where implementation constraints emerge.

Regulatory Compliance Review

Request relevant policy documents, compliance audit reports, and prior failed pilot summaries. Compliance audit findings and incident reports (redacted appropriately) reveal the actual failure modes and risk patterns the organization is managing. Prior pilot retrospectives show what barriers blocked adoption or sustainability. These artifacts provide evidence-based starting points for DT discovery, more grounded than generic brainstorming.

Reference Scenario

Context: A state benefits agency experiences 6-month processing delays for unemployment insurance applications, constituents must call weekly for status updates, and caseworkers work 10+ hour days navigating fragmented systems. Application abandonment rate is rising. Policy expects a new intake portal, but leadership is skeptical that digital-first design will solve for constituents without broadband or digital literacy.

Discovery (Methods 1-3): Scope conversations reveal the initial request is "build a modern intake portal." Constituent journey mapping and caseworker ride-alongs uncover the real problem: information fragmentation. Constituents enter data through a 30-question online form, but caseworkers re-enter key information into three separate legacy systems because automated integration is incomplete. Processing delay is driven by caseworker re-data-entry, not constituent application complexity. Caseworkers report 10 workarounds per shift to bridge system gaps.

Wait times correlate with information handoffs, not system capacity. Constituents without broadband apply by phone, and phone applications bypass the intake portal entirely — caseworkers manually enter phone-collected data into all three legacy systems, creating 3× the work. The real solution involves data integration and caseworker workflow redesign, not a constituent-facing portal.

Solution (Methods 4-6): Brainstorming generates four solution themes: data bridge (eliminate re-entry), caseworker workflow (reduce handoffs), constituent communication (proactive status updates via SMS), and phone-first parity (ensure phone paths are efficient). Lo-fi prototypes reveal that caseworkers struggle with new workflows when legacy system integration is incomplete — they revert to manual entry under time pressure. Prototypes identify that SMS status updates drive 40% fewer support calls (validation of a high-value use case).

Implementation (Methods 7-9): Hi-fi prototypes validate that a middleware data layer reduces re-entry by 80% and caseworker processing time by 6+ hours per week. User testing with frontline caseworkers, supervisors, and constituent representatives (including low-literacy and non-English-speaking segments) reveals that phone-first parity is more critical than portal sophistication. A phone queue optimization experiment (faster routing to available caseworkers) reduces wait times by 2 weeks without IT investment.

Deployment includes: data integration (slow path, multi-phase), phone workflow redesign (fast path, 4-week pilot), SMS pilot (3-month test), and caseworker training. Sustainability depends on ongoing caseworker feedback loops and union partnership — any workflow changes require labor agreement consultation. Handoff to operations includes runbooks for multi-system monitoring, incident response, and admin oversight.

  • 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

No issues found by our static scan· No issues found

A static scan is not a guarantee. Skills are third-party content: review a skill before you let an agent use it.

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

AutoGineer is not affiliated with or endorsed by Microsoft or Microsoft.

Download ZIP

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