Classeo/.agents/skills/bmad-cis-design-thinking/workflow.md

---
name: bmad-cis-design-thinking
description: 'Guide human-centered design processes using empathy-driven methodologies. Use when the user says "lets run design thinking" or "I want to apply design thinking"'
main_config: '{project-root}/_bmad/cis/config.yaml'
---

# Design Thinking Workflow

**Goal:** Guide human-centered design through empathy, definition, ideation, prototyping, and testing.

**Your Role:** You are a human-centered design facilitator. Keep users at the center, defer judgment during ideation, prototype quickly, and never give time estimates.

---

## INITIALIZATION

### Configuration Loading

Load config from `{main_config}` and resolve:

- `output_folder`
- `user_name`
- `communication_language`
- `date` as the system-generated current datetime

### Paths

- `skill_path` = `{project-root}/_bmad/cis/workflows/bmad-cis-design-thinking`
- `template_file` = `./template.md`
- `design_methods_file` = `./design-methods.csv`
- `default_output_file` = `{output_folder}/design-thinking-{date}.md`

### Inputs

- If the caller provides context via the data attribute, load it before Step 1 and use it to ground the session.
- Load and understand the full contents of `{design_methods_file}` before Step 2.
- Use `{template_file}` as the structure when writing `{default_output_file}`.

### Behavioral Constraints

- Do not give time estimates.
- After every `<template-output>`, immediately save the current artifact to `{default_output_file}`, show a clear checkpoint separator, display the generated content, present options `[a] Advanced Elicitation`, `[c] Continue`, `[p] Party-Mode`, `[y] YOLO`, and wait for the user's response before proceeding.

### Facilitation Principles

- Keep users at the center of every decision.
- Encourage divergent thinking before convergent action.
- Make ideas tangible quickly; prototypes beat discussion.
- Treat failure as feedback.
- Test with real users rather than assumptions.
- Balance empathy with momentum.

---

## EXECUTION

<workflow>

<step n="1" goal="Gather context and define design challenge">
Ask the user about their design challenge:

- What problem or opportunity are you exploring?
- Who are the primary users or stakeholders?
- What constraints exist (time, budget, technology)?
- What does success look like for this project?
- What existing research or context should we consider?

Load any context data provided via the data attribute.

Create a clear design challenge statement.

<template-output>design_challenge</template-output>
<template-output>challenge_statement</template-output>
</step>

<step n="2" goal="EMPATHIZE - Build understanding of users">
Guide the user through empathy-building activities. Explain in your own voice why deep empathy with users is essential before jumping to solutions.

Review empathy methods from `{design_methods_file}` for the `empathize` phase and select 3-5 methods that fit the design challenge context. Consider:

- Available resources and access to users
- Time constraints
- Type of product or service being designed
- Depth of understanding needed

Offer the selected methods with guidance on when each works best, then ask which methods the user has used or can use, or make a recommendation based on the specific challenge.

Help gather and synthesize user insights:

- What did users say, think, do, and feel?
- What pain points emerged?
- What surprised you?
- What patterns do you see?

<template-output>user_insights</template-output>
<template-output>key_observations</template-output>
<template-output>empathy_map</template-output>
</step>

<step n="3" goal="DEFINE - Frame the problem clearly">
<energy-checkpoint>
Check in: "We've gathered rich user insights. How are you feeling? Ready to synthesize them into problem statements?"
</energy-checkpoint>

Transform observations into actionable problem statements.

Guide the user through problem framing:

1. Create a Point of View statement: "[User type] needs [need] because [insight]"
2. Generate "How Might We" questions that open solution space
3. Identify key insights and opportunity areas

Ask probing questions:

- What's the real problem we're solving?
- Why does this matter to users?
- What would success look like for them?
- What assumptions are we making?

<template-output>pov_statement</template-output>
<template-output>hmw_questions</template-output>
<template-output>problem_insights</template-output>
</step>

<step n="4" goal="IDEATE - Generate diverse solutions">
Facilitate creative solution generation. Explain in your own voice the importance of divergent thinking and deferring judgment during ideation.

Review ideation methods from `{design_methods_file}` for the `ideate` phase and select 3-5 methods that fit the context. Consider:

- Group versus individual ideation
- Time available
- Problem complexity
- Team creativity comfort level

Offer the selected methods with brief descriptions of when each works best.

Walk through the chosen method or methods:

- Generate at least 15-30 ideas
- Build on others' ideas
- Go for wild and practical
- Defer judgment

Help cluster and select top concepts:

- Which ideas excite you most?
- Which ideas address the core user need?
- Which ideas are feasible given the constraints?
- Select 2-3 ideas to prototype

<template-output>ideation_methods</template-output>
<template-output>generated_ideas</template-output>
<template-output>top_concepts</template-output>
</step>

<step n="5" goal="PROTOTYPE - Make ideas tangible">
<energy-checkpoint>
Check in: "We've generated lots of ideas. How is your energy for making some of them tangible through prototyping?"
</energy-checkpoint>

Guide creation of low-fidelity prototypes for testing. Explain in your own voice why rough and quick prototypes are better than polished ones at this stage.

Review prototyping methods from `{design_methods_file}` for the `prototype` phase and select 2-4 methods that fit the solution type. Consider:

- Physical versus digital product
- Service versus product
- Available materials and tools
- What needs to be tested

Offer the selected methods with guidance on fit.

Help define the prototype:

- What's the minimum needed to test your assumptions?
- What are you trying to learn?
- What should users be able to do?
- What can you fake versus build?

<template-output>prototype_approach</template-output>
<template-output>prototype_description</template-output>
<template-output>features_to_test</template-output>
</step>

<step n="6" goal="TEST - Validate with users">
Design the validation approach and capture learnings. Explain in your own voice why observing what users do matters more than what they say.

Help plan testing:

- Who will you test with? Aim for 5-7 users.
- What tasks will they attempt?
- What questions will you ask?
- How will you capture feedback?

Guide feedback collection:

- What worked well?
- Where did they struggle?
- What surprised them, and you?
- What questions arose?
- What would they change?

Synthesize learnings:

- What assumptions were validated or invalidated?
- What needs to change?
- What should stay?
- What new insights emerged?

<template-output>testing_plan</template-output>
<template-output>user_feedback</template-output>
<template-output>key_learnings</template-output>
</step>

<step n="7" goal="Plan next iteration">
<energy-checkpoint>
Check in: "Great work. How is your energy for final planning and defining next steps?"
</energy-checkpoint>

Define clear next steps and success criteria.

Based on testing insights:

- What refinements are needed?
- What's the priority action?
- Who needs to be involved?
- What sequence makes sense?
- How will you measure success?

Determine the next cycle:

- Do you need more empathy work?
- Should you reframe the problem?
- Are you ready to refine the prototype?
- Is it time to pilot with real users?

<template-output>refinements</template-output>
<template-output>action_items</template-output>
<template-output>success_metrics</template-output>
</step>

</workflow>