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Description
Overview
Create dt-method-06-lofi-prototypes.instructions.md — the method-tier instruction file for Method 6: Low-Fidelity Prototypes. Users build rapid, intentionally rough representations of selected concepts to learn through making. This is the final method in the Solution Space, and the lo-fi enforcement is most critical here — artifacts must signal "still being shaped" to prevent premature commitment.
Target File
.github/instructions/dt-method-06-lofi-prototypes.instructions.md
Frontmatter
---
description: 'Design Thinking Method 6: Low-Fidelity Prototypes — rapid experimentation, lo-fi artifact creation, and feedback planning'
applyTo: '**/.copilot-tracking/dt/**/method-06*'
---Required Content
Method Purpose
Method 6 makes concepts tangible. Users build quick, rough prototypes that answer specific questions about their concepts. The goal is learning, not building — each prototype tests a hypothesis. This method directly addresses the "Too Nice Prototype" tension from community feedback: artifacts must look unfinished to invite honest feedback and prevent sunk-cost attachment.
Three Sub-Methods
| Sub-Method | Phase | Coach Behavior |
|---|---|---|
| 6a — Prototype Planning | Planning | Help user identify what to prototype and what question each prototype answers. Coach asks: "What's the riskiest assumption in this concept? Let's build something that tests it." |
| 6b — Prototype Building | Execution | Guide rapid prototype construction. Coach enforces speed: "This should take minutes, not hours. What's the fastest way to represent this idea?" |
| 6c — Feedback Planning | Documentation | Plan how to gather feedback on prototypes. Coach helps design feedback questions: "What responses would make you confident this concept works? What would make you pivot?" |
Two Specialized Hats
| Hat | Role | When Activated |
|---|---|---|
| Prototype Builder | Guides rapid artifact creation — selects prototyping technique, enforces lo-fi quality, maintains speed | During 6a and 6b |
| Feedback Designer | Helps plan feedback sessions — who to show prototypes to, what questions to ask, how to capture reactions | During 6c |
Prototyping Techniques
The coach selects techniques based on what's being tested:
- Paper prototyping: Sketched interfaces, drawn workflows, hand-drawn storyboards — tests interaction patterns
- Storyboarding: Sequential narrative frames showing a user journey — tests the overall experience flow
- Wizard of Oz: Human simulates the system behavior — tests the concept without building anything
- Role playing: Act out the service or interaction — tests interpersonal dynamics and process flows
- Cardboard prototyping: Physical mock-ups from simple materials — tests spatial and physical interactions
For AI-assisted contexts, prototypes may also include:
- Rough markdown documents representing planned tools or artifacts
- Simple prompt-response examples showing expected coaching interactions
- Draft agent or instruction file skeletons demonstrating behavior patterns
Method 6 Artifacts
Outputs stored at .copilot-tracking/dt/{project-slug}/method-06-lofi-prototypes/:
prototypes/— One folder per prototype: description, hypothesis being tested, prototype artifact(s)feedback-plan.md— Who to gather feedback from, questions to ask, response capture formatlearnings-log.md— What each prototype revealed, which hypotheses were validated/invalidated
Lo-Fi Quality Enforcement (Critical)
This is the most important lo-fi enforcement point in the entire process:
- Prototypes must look obviously unfinished — this invites feedback rather than compliments
- The coach actively prevents polish: "That prototype is looking too clean — can we make it rougher? Polished prototypes get 'looks great!' instead of honest feedback."
- Time-box enforcement: prototypes should take minutes to build, not hours
- Artifacts that could be mistaken for finished work are flagged: "This looks like a final design — remember, lo-fi prototypes are throwaway learning tools"
- The "Too Nice Prototype" tension is resolved here — the coach maintains creative roughness
Coaching Approach
The coach in Method 6:
- Celebrates speed over perfection: "The best prototype is the one that teaches you something in 10 minutes"
- Connects prototypes to hypotheses: "This tests the usability assumption — what would you build to test the viability assumption?"
- Prevents sunk-cost thinking: "Remember, we expect to throw most of these away — that's the point"
- Bridges to feedback: "Now that you've built something, who should see it? And what would they tell you that would change your mind?"
Token Budget
Target: ~1,500-2,000 tokens (method tier)
How to Build This File
This is an .instructions.md file — use the prompt-builder agent (not task-implementor) for the authoring phase.
Workflow: /task-research → /task-plan → /prompt-build → /task-review
Between each phase, run /clear to reset context.
Phase 1: Research
Source Material:
design-thinking-for-hve-capabilities/guidance/06-low-fidelity-prototypes.md
This file lives in the DT4HVE repository. If you don't have local access, ask the user to provide it or useread_fileif the repo is cloned nearby.
Steps:
- Read the source material above.
- Read
.github/instructions/prompt-builder.instructions.mdfor authoring standards. - Read any existing
dt-method-*instruction files for structural precedent. - Gather content on lo-fi prototyping techniques, lo-fi enforcement patterns, feedback planning, and the "Too Nice Prototype" tension.
Starter prompt:
/task-research
Research for IS029: dt-method-06-lofi-prototypes.instructions.md
Read the DT4HVE source material at design-thinking-for-hve-capabilities/guidance/06-low-fidelity-prototypes.md. Extract:
- Lo-fi prototyping techniques (paper prototyping, storyboarding, Wizard of Oz, role playing, cardboard prototyping)
- Lo-fi enforcement patterns — how to keep artifacts deliberately rough
- The "Too Nice Prototype" tension and its resolution strategies
- Feedback planning methods — who to show prototypes to, what questions to ask
- AI-assisted prototyping adaptations (markdown docs, prompt-response examples, draft agent skeletons)
Also read .github/instructions/prompt-builder.instructions.md for authoring standards and any existing dt-method-*.instructions.md files for structural precedent.
Output: research summary from Phase 1 above
Phase 2: Plan
Steps:
- Review the research output from Phase 1.
- Plan the instruction file structure — method purpose, three sub-methods, two specialized hats, lo-fi enforcement mechanisms, prototype types, feedback planning.
- Define section ordering, token allocation, and applyTo targeting.
Starter prompt:
/task-plan
Plan for IS029: dt-method-06-lofi-prototypes.instructions.md
Using the Phase 1 research output, plan the instruction file:
- Method purpose: making concepts tangible through rapid, intentionally rough prototypes
- Three sub-methods: 6a Prototype Planning, 6b Prototype Building, 6c Feedback Planning
- Two hats: Prototype Builder, Feedback Designer
- Lo-fi enforcement mechanisms — the defining characteristic of this method
- Prototype types for both physical and AI-assisted contexts
- Feedback planning: hypothesis-driven questions, response capture format
- "Too Nice Prototype" tension resolution strategies
- Section ordering and token budget allocation (~1,500-2,000 tokens)
- applyTo: '**/.copilot-tracking/dt/**/method-06*'
Output: plan at .copilot-tracking/plans/{date}-is029-dt-method-06-plan.md
Phase 3: Build
Steps:
- Review the plan from Phase 2.
- Author the instruction file using
/prompt-build. - Lo-fi enforcement is the defining characteristic — ensure it pervades the entire file, not just one section.
Starter prompt:
/prompt-build file=.github/instructions/dt-method-06-lofi-prototypes.instructions.md
Build IS029 using the plan at .copilot-tracking/plans/{date}-is029-dt-method-06-plan.md.
This is a method-tier instruction file for Method 6: Low-Fidelity Prototypes. Key authoring notes:
- applyTo targets Method 6 artifact paths: '**/.copilot-tracking/dt/**/method-06*'
- Lo-fi enforcement is the DEFINING characteristic — it must pervade the entire file
- The coach actively prevents polish: "That prototype is looking too clean"
- Time-box enforcement: prototypes should take minutes, not hours
- "Too Nice Prototype" tension is explicitly addressed and resolved
- Three sub-methods with consistent table structure
- Two specialized hats with activation triggers
- Prototyping techniques cover both physical and AI-assisted contexts
- Feedback planning connects prototypes to hypotheses
- Coaching tone celebrates speed over perfection
Phase 4: Review
Steps:
- Review the built file against prompt-builder standards and the issue requirements.
- Validate lo-fi enforcement strength, prototyping technique coverage, feedback planning quality, and "Too Nice Prototype" tension resolution.
Starter prompt:
/task-review
Review IS029: .github/instructions/dt-method-06-lofi-prototypes.instructions.md
Validate against:
- prompt-builder.instructions.md authoring standards
- Lo-fi enforcement strength — this should be the strongest enforcement in the curriculum
- Prototyping technique coverage for both physical and AI-assisted contexts
- Feedback planning quality — hypothesis-driven, not generic show-and-tell
- "Too Nice Prototype" tension resolution — explicitly addressed
- Time-box enforcement for prototype construction
- Token budget: ~1,500-2,000 tokens
- Frontmatter applyTo correctness
- Three sub-methods and two hats with consistent table structure
After Review
- Pass: Mark IS029 complete.
- Iterate: Address review findings, rebuild, re-review.
- Escalate: If blocked by missing DT4HVE source material or architectural questions, raise to the user.
Authoring Standards
Follow .github/instructions/prompt-builder.instructions.md:
applyTotargets Method 6 artifact paths- Three sub-methods with consistent table structure
- Two specialized hats with activation triggers
- Lo-fi enforcement is a first-class concern, not an afterthought
Success Criteria
- File created at
.github/instructions/dt-method-06-lofi-prototypes.instructions.md - Frontmatter
applyTotargets Method 6 artifact paths - Three sub-methods defined (planning, building, feedback planning)
- Two specialized hats with clear activation triggers
- Prototyping techniques cover both physical and AI-assisted contexts
- Lo-fi quality enforcement is the strongest in the curriculum — addresses "Too Nice Prototype" tension
- Feedback planning guidance connects prototypes to hypotheses
- Token count within ~1,500-2,000 target
- Passes task-reviewer validation against prompt-builder standards
- Each prompt, instructions, or agent file registered in
collections/design-thinking.collection.ymlwithpathandkindfields - Each prompt, instructions, or agent file registered in
collections/hve-core-all.collection.ymlwithpathandkindfields -
npm run plugin:generatesucceeds after collection manifest updates
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