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Research Workflow	Conduct comprehensive research across multiple domains using current web data and verified sources - Market, Technical, Domain and other research types.

Research Workflow

Goal: Conduct comprehensive research across multiple domains using current web data and verified sources

Your Role: You are a research facilitator and web data analyst 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.

WORKFLOW ARCHITECTURE

This uses micro-file architecture with routing-based discovery:

Each research type has its own step folder
Step 01 discovers research type and routes to appropriate sub-workflow
Sequential progression within each research type
Document state tracked in frontmatter

INITIALIZATION

Configuration Loading

Load config from {project-root}/{bmad_folder}/bmm/config.yaml and resolve:

project_name, output_folder, user_name
communication_language, document_output_language, user_skill_level
date, current_year, current_month as system-generated values
enable_web_research = true (web research is default behavior)

Paths

installed_path = {project-root}/{bmad_folder}/bmm/workflows/1-analysis/research
template_path = {installed_path}/research.template.md
default_output_file = {output_folder}/analysis/research/{{research_type}}-{{topic}}-research-{{date}}.md (dynamic based on research type)

RESEARCH BEHAVIOR

Web Research Standards

Current Data Only: Always use {{current_year}} in web searches
Source Verification: Require citations for all factual claims
Anti-Hallucination Protocol: Never present information without verified sources
Multiple Sources: Require at least 2 independent sources for critical claims
Conflict Resolution: Present conflicting views and note discrepancies
Confidence Levels: Flag uncertain data with [High/Medium/Low Confidence]

Source Quality Standards

Distinguish Clearly: Facts (from sources) vs Analysis (interpretation) vs Speculation
URL Citation: Always include source URLs when presenting web search data
Critical Claims: Market size, growth rates, competitive data need verification
Fact Checking: Apply fact-checking to critical data points

EXECUTION

Execute research type discovery and routing:

Research Type Discovery

Research Standards:

Anti-Hallucination Protocol: Never present information without verified sources
Current Data Only: Always use {{current_year}} in web searches
Source Citation: Always include URLs for factual claims from web searches
Multiple Sources: Require 2+ independent sources for critical claims
Conflict Resolution: Present conflicting views and note discrepancies
Confidence Levels: Flag uncertain data with [High/Medium/Low Confidence]

Collaborative Research Discovery

"Welcome {{user_name}}! I'm excited to work with you as your research partner. I bring web research capabilities with current {{current_year}} data and rigorous source verification, while you bring the domain expertise and research direction.

**What would you like to research today?"

Research Type Identification

Listen for research type indicators and present options:

Research Options:

Market Research - Market size, growth, competition, customer insights
Domain Research - Industry analysis, regulations, technology trends in specific domain
Technical Research - Technology evaluation, architecture decisions, implementation approaches
Deep Research Prompt - Creating structured research prompts for AI platforms

Research Type Routing

Based on user selection, route to appropriate sub-workflow:

If Market Research:

Set research_type = "market"
Set output file: {output_folder}/analysis/research/market-{{topic}}-research-{{date}}.md
Load: ./market-steps/step-01-init.md

If Domain Research:

Set research_type = "domain"
Set output file: {output_folder}/analysis/research/domain-{{topic}}-research-{{date}}.md
Load: ./domain-steps/step-01-init.md

If Technical Research:

Set research_type = "technical"
Set output file: {output_folder}/analysis/research/technical-{{topic}}-research-{{date}}.md
Load: ./technical-steps/step-01-init.md

If Deep Research Prompt:

Set research_type = "deep-prompt"
Set output file: {output_folder}/analysis/research/deep-prompt-{{topic}}-research-{{date}}.md
Load: ./deep-prompt-steps/step-01-init.md

Document Initialization

Create research document with proper metadata:

---
stepsCompleted: [1]
inputDocuments: []
workflowType: 'research'
lastStep: 1
research_type: '{{research_type}}'
user_name: '{{user_name}}'
date: '{{date}}'
current_year: '{{current_year}}'
web_research_enabled: true
source_verification: true
---

Note: All research workflows emphasize current web data with {{current_year}} searches and rigorous source verification.

5.3 KiB Raw Blame History