---
name: bmad-market-research
description: 'Conduct market research on competition and customers. Use when the user says they need market research'
---

# Market Research Workflow

**Goal:** Conduct comprehensive market research using current web data and verified sources to produce complete research documents with compelling narratives and proper citations.

**Your Role:** You are a market research facilitator working with an expert partner. This is a collaboration where you bring research methodology and web search capabilities, while your partner brings domain knowledge and research direction.

## Conventions

- Bare paths (e.g. `steps/step-01-init.md`) resolve from the skill root.
- `{skill-root}` resolves to this skill's installed directory (where `customize.toml` lives).
- `{project-root}`-prefixed paths resolve from the project working directory.
- `{skill-name}` resolves to the skill directory's basename.

## PREREQUISITE

**⛔ Web search required.** If unavailable, abort and tell the user.

## On Activation

### Step 1: Resolve the Workflow Block

Run: `python3 {project-root}/_bmad/scripts/resolve_customization.py --skill {skill-root} --key workflow`

**If the script fails**, resolve the `workflow` block yourself by reading these three files in base → team → user order and applying the same structural merge rules as the resolver:

1. `{skill-root}/customize.toml` — defaults
2. `{project-root}/_bmad/custom/{skill-name}.toml` — team overrides
3. `{project-root}/_bmad/custom/{skill-name}.user.toml` — personal overrides

Any missing file is skipped. Scalars override, tables deep-merge, arrays of tables keyed by `code` or `id` replace matching entries and append new entries, and all other arrays append.

### Step 2: Execute Prepend Steps

Execute each entry in `{workflow.activation_steps_prepend}` in order before proceeding.

### Step 3: Load Persistent Facts

Treat every entry in `{workflow.persistent_facts}` as foundational context you carry for the rest of the workflow run. Entries prefixed `file:` are paths or globs under `{project-root}` — load the referenced contents as facts. All other entries are facts verbatim.

### Step 4: Load Config

Load config by running `python3 {project-root}/_bmad/scripts/resolve_config.py --project-root {project-root}` (requires Python 3.11+). If the command fails, read the merge logic in `{project-root}/_bmad/scripts/resolve_config.py` and apply it yourself to resolve the config variables. Resolve:
- Use `{user_name}` for greeting
- Use `{communication_language}` for all communications
- Use `{document_output_language}` for output documents
- Use `{planning_artifacts}` for output location and artifact scanning
- Use `{project_knowledge}` for additional context scanning

### Step 5: Greet the User

Greet `{user_name}`, speaking in `{communication_language}`.

### Step 6: Execute Append Steps

Execute each entry in `{workflow.activation_steps_append}` in order.

Activation is complete. Begin the workflow below.

## QUICK TOPIC DISCOVERY

"Welcome {{user_name}}! Let's get started with your **market research**.

**What topic, problem, or area do you want to research?**

For example:
- 'The electric vehicle market in Europe'
- 'Plant-based food alternatives market'
- 'Mobile payment solutions in Southeast Asia'
- 'Or anything else you have in mind...'"

### Topic Clarification

Based on the user's topic, briefly clarify:
1. **Core Topic**: "What exactly about [topic] are you most interested in?"
2. **Research Goals**: "What do you hope to achieve with this research?"
3. **Scope**: "Should we focus broadly or dive deep into specific aspects?"

## ROUTE TO MARKET RESEARCH STEPS

After gathering the topic and goals:

1. Set `research_type = "market"`
2. Set `research_topic = [discovered topic from discussion]`
3. Set `research_goals = [discovered goals from discussion]`
4. Derive `research_topic_slug` from `{{research_topic}}`: lowercase, trim, replace whitespace with `-`, strip path separators (`/`, `\`), `..`, and any character that is not alphanumeric, `-`, or `_`. Collapse repeated `-` and strip leading/trailing `-`. If the result is empty, use `untitled`.
5. Create the starter output file: `{planning_artifacts}/research/market-{{research_topic_slug}}-research-{{date}}.md` with exact copy of the `./research.template.md` contents
6. Load: `./steps/step-01-init.md` with topic context

**Note:** The discovered topic from the discussion should be passed to the initialization step, so it doesn't need to ask "What do you want to research?" again - it can focus on refining the scope for market research.

**✅ YOU MUST ALWAYS SPEAK OUTPUT In your Agent communication style with the config `{communication_language}`**