Overview

Create the manufacturing industry context template, the first of three P0 industry templates for the DT coaching system. This template provides manufacturing-specific vocabulary, constraints, empathy tools, and reference scenarios that the coach loads alongside method instructions to tailor DT coaching for manufacturing contexts.

Manufacturing is the primary industry context with the richest source material: DT4HVE's 130+ manufacturing references and the validated manufacturing reference scenario.

Target File

.github/instructions/dt-industry-manufacturing.instructions.md

Frontmatter

---
description: 'Manufacturing industry context for DT coaching — vocabulary, constraints, empathy tools, and reference scenarios'
applyTo: ''
---

Note: applyTo is empty, loaded on-demand when the user specifies manufacturing as their industry context.

Required Content

Industry Profile

• Sector: Manufacturing (discrete and process)
• Key stakeholders: Operators, shift supervisors, production engineers, quality engineers, maintenance technicians, safety officers, plant managers, supply chain coordinators
• Decision cadence: Shift-level (8-12 hours), production planning (weekly), capital investment (quarterly/annual)
• Regulatory environment: OSHA, ISO 9001/14001, industry-specific standards (FDA for pharma manufacturing, IATF 16949 for automotive)

Vocabulary Mapping

Map DT concepts to manufacturing language:

Constraints and Considerations

• Safety-first culture: Any DT activity must respect safety protocols; research observations require PPE compliance and designated observation areas
• Shift-based operations: Stakeholders may be unavailable during certain hours; research must span shifts to capture different behaviors
• Union considerations: Stakeholder engagement may require union representative inclusion
• Data sensitivity: Production data, efficiency metrics, and incident reports may have access restrictions
• Physical environment: DT activities may need adaptation for factory floor noise, space, and cleanliness requirements

Empathy Tools

• Gemba walk framework: Structured observation on the factory floor, what to look for, how to engage respectfully with operators
• Shift handoff observation: Watch shift transitions to identify information loss, miscommunication, and workaround patterns
• Operator shadow protocol: Follow an operator through a shift to understand their actual (vs. documented) workflow
• Safety incident narrative: Use anonymized incident reports as empathy artifacts, what led to the incident, what was the operator's experience

Reference Scenario

Manufacturing reference scenario adapted from DT4HVE research:

• Context: Production line experiencing quality variance across shifts
• Stakeholders: Day shift operators, night shift operators, quality engineers, shift supervisors
• Discovery: Root cause is not equipment or process, it's information asymmetry between shifts
• DT Journey: Methods 1-3 reveal the human factors; Methods 4-6 generate solutions for knowledge transfer; Methods 7-9 pilot and iterate

Token Budget

Target: ~1,500-2,000 tokens (on-demand tier, loaded when industry context is manufacturing)

Source Material

Attach these files as context for the task-researcher phase:

• DT4HVE guidance files (all 9): design-thinking-for-hve-capabilities/guidance/01-scope-conversations.md through 09-iteration-at-scale.md, 130+ manufacturing references spread across all methods
• Key manufacturing examples by method: 01-scope-conversations.md (L57), 03-input-synthesis.md (L59), 04-brainstorming.md (L50), 05-user-concepts.md (L50), 06-low-fidelity-prototypes.md (L61), 07-high-fidelity-prototypes.md (L155), 08-user-testing.md (L68), 09-iteration-at-scale.md (L52)
• Cumulative research: Design Thinking cumulative research, Part 7 (cross-industry strategy) for Industry Context Layer architecture and manufacturing parameterization patterns

RPI Pipeline Workflow

1. task-researcher: Deep dive into DT4HVE manufacturing references, extract vocabulary, constraints, empathy patterns, and the reference scenario. Cross-reference cumulative research Part 7 (cross-industry strategy).
2. task-planner: Plan the template, industry profile, vocabulary mapping, constraints, empathy tools, reference scenario.
3. task-implementor: Author following prompt-builder standards. Nativize DT4HVE manufacturing content for HVE Core. Ensure vocabulary mapping is bidirectional (DT→manufacturing and manufacturing→DT).
4. task-reviewer: Validate manufacturing domain accuracy, vocabulary mapping completeness, empathy tool practicality, prompt-builder compliance.

Starter Prompts

Research: /task-research — "Deep dive into DT4HVE manufacturing references — extract vocabulary mappings, constraints, empathy patterns, and the reference scenario. Attach all guidance files (01-09) and cumulative research Part 7 as context."

Plan: /task-plan — "Plan dt-industry-manufacturing.instructions.md — industry profile, bidirectional vocabulary mapping, constraints (safety, shifts, unions), empathy tools, reference scenario."

Implement: /task-implement — "Author dt-industry-manufacturing.instructions.md following prompt-builder standards with empty applyTo, 1500-2000 token budget. Nativize DT4HVE manufacturing content for HVE Core."

Review: /task-review — "Validate dt-industry-manufacturing.instructions.md against prompt-builder standards, manufacturing domain accuracy, and vocabulary mapping completeness."

Prompt-Builder Compliance Checklist

Per .github/instructions/prompt-builder.instructions.md:

• description: frontmatter present and descriptive
• applyTo: '' (empty, on-demand loading)
• Writing style uses guidance over commands (no "You must/will/shall")
• Token count within budget tier
• No ALL CAPS emphasis
• Vocabulary mapping is bidirectional (DT→manufacturing and manufacturing→DT)

Success Criteria

• Template created at .github/instructions/dt-industry-manufacturing.instructions.md
• Frontmatter has empty applyTo: (on-demand loading)
• Industry profile covers key stakeholders, decision cadence, regulatory environment
• Vocabulary mapping bridges DT and manufacturing terminology bidirectionally
• Constraints address safety, shifts, unions, data sensitivity, physical environment
• Empathy tools are practical and manufacturing-specific (gemba walk, shift handoff, operator shadow)
• Reference scenario demonstrates full DT journey in manufacturing context
• Token count within ~1,500-2,000 target
• Passes task-reviewer validation against prompt-builder standards
• Artifact registered in collections/design-thinking.collection.yml with path and kind fields
• Artifact registered in collections/hve-core-all.collection.yml with path and kind fields
• npm run plugin:generate run after updating collection manifests