Overview
Create dt-rpi-research-context.instructions.md — a DT-aware instruction file that auto-loads when task-researcher operates on DT artifacts. This frames research activities around DT methods, stakeholder needs, and empathy-driven inquiry rather than pure technical research patterns.
When task-researcher receives a handoff from the DT coach (via Problem Space exit), this instruction file helps the researcher understand that:
The research question comes from a DT process, not a technical spec
Stakeholder perspectives drive the research framing
Findings should feed back into the DT framework (validated/assumed/unknown markers)
The researcher may need to return findings to the DT coach rather than proceeding to planning
Directory context : The .copilot-tracking/dt/ path in applyTo is created per-project by the coach agent (#579 from Phase 2). See #583 for directory structure and handoff contract details.
Target File
.github/instructions/dt-rpi-research-context.instructions.md
Frontmatter
---
description : ' DT-aware task-researcher context — frames research around DT methods, stakeholder needs, and empathy-driven inquiry'
applyTo : ' **/.copilot-tracking/dt/**'
---
Required Content
Research Framing Adjustments
When operating in DT context, task-researcher adjusts its approach:
Standard Research
DT-Informed Research
Focus on technical feasibility
Focus on stakeholder impact and technical feasibility
Single-perspective analysis
Multi-stakeholder analysis
Binary findings (works/doesn't)
Quality-marked findings (validated/assumed/unknown/conflicting)
Forward-only output
Output may return to DT coach for further coaching
Code-centric results
Human-centric results with code implications
DT-Specific Research Patterns
Stakeholder-driven queries : When the research question mentions stakeholders, investigate from multiple stakeholder perspectives
Assumption validation : When the handoff artifact flags "assumed" items, prioritize validating or invalidating those assumptions
Gap investigation : When the handoff artifact flags "unknown" items, these become primary research targets
Empathy data synthesis : Process qualitative research data (interview themes, observation patterns) alongside quantitative data
Industry context integration : If an industry context template was used during coaching, reference it for domain-specific terminology and constraints
Output Format Additions
Task-researcher adds DT-specific sections to research output when operating in DT context:
Assumption Validation Results : For each "assumed" item from the handoff, provide evidence status
Gap Resolution : For each "unknown" item, provide findings or recommend continued investigation
Stakeholder Impact Assessment : How research findings affect different stakeholder groups
DT Coach Return Recommendation : Whether findings warrant returning to DT coaching before proceeding to planning
Return Path Awareness
Task-researcher should recommend returning to DT coaching when:
Research reveals that the problem statement needs significant revision
New stakeholders are discovered that weren't in the original map
Fundamental assumptions are invalidated
Conflicting evidence suggests the synthesis (Method 3) needs rework
Token Budget
Target: ~500-700 tokens (ambient tier — auto-loads on all DT artifact paths)
RPI Pipeline Workflow
task-researcher : Review existing task-researcher agent definition and behavioral patterns. Understand how applyTo globs modify researcher behavior. Gather DT research framing from cumulative research.
task-planner : Plan the file — research framing adjustments, DT-specific patterns, output additions, return path triggers.
task-implementor : Author following prompt-builder standards. Adjustments should augment (not replace) standard researcher behavior.
task-reviewer : Validate against DT review context (feat(instructions): Create dt-rpi-review-context.instructions.md #593 ), confirm research framing adjustments, prompt-builder compliance.
Success Criteria
Instruction file created at .github/instructions/dt-rpi-research-context.instructions.md
Frontmatter has applyTo: '**/.copilot-tracking/dt/**' glob
Research framing adjustments defined (stakeholder-driven, multi-perspective, quality-marked)
DT-specific research patterns cover assumption validation, gap investigation, empathy data synthesis
Output format additions include assumption validation results and stakeholder impact
Return path triggers defined (problem statement revision, new stakeholders, invalidated assumptions)
Token count within ~500-700 target
Passes task-reviewer validation against prompt-builder standards
Each prompt, instructions, or agent file registered in collections/design-thinking.collection.yml with path and kind fields
Each prompt, instructions, or agent file registered in collections/hve-core-all.collection.yml with path and kind fields
npm run plugin:generate succeeds after collection manifest updates
Overview
Create
dt-rpi-research-context.instructions.md— a DT-aware instruction file that auto-loads when task-researcher operates on DT artifacts. This frames research activities around DT methods, stakeholder needs, and empathy-driven inquiry rather than pure technical research patterns.When task-researcher receives a handoff from the DT coach (via Problem Space exit), this instruction file helps the researcher understand that:
Target File
.github/instructions/dt-rpi-research-context.instructions.mdFrontmatter
Required Content
Research Framing Adjustments
When operating in DT context, task-researcher adjusts its approach:
DT-Specific Research Patterns
Output Format Additions
Task-researcher adds DT-specific sections to research output when operating in DT context:
Return Path Awareness
Task-researcher should recommend returning to DT coaching when:
Token Budget
Target: ~500-700 tokens (ambient tier — auto-loads on all DT artifact paths)
RPI Pipeline Workflow
applyToglobs modify researcher behavior. Gather DT research framing from cumulative research.Success Criteria
.github/instructions/dt-rpi-research-context.instructions.mdapplyTo: '**/.copilot-tracking/dt/**'globcollections/design-thinking.collection.ymlwithpathandkindfieldscollections/hve-core-all.collection.ymlwithpathandkindfieldsnpm run plugin:generatesucceeds after collection manifest updates