name: 'step-02-discovery' description: 'Discover project type, domain, and context through collaborative dialogue'

File References

nextStepFile: './step-03-success.md' outputFile: '{planning_artifacts}/prd.md'

Data Files

projectTypesCSV: '../data/project-types.csv' domainComplexityCSV: '../data/domain-complexity.csv'

Task References

advancedElicitationTask: '{project-root}/_bmad/core/workflows/advanced-elicitation/workflow.xml'

partyModeWorkflow: '{project-root}/_bmad/core/workflows/party-mode/workflow.md'

Step 2: Project Discovery

Progress: Step 2 of 13 - Next: Product Vision

STEP GOAL:

Discover and classify the project - understand what type of product this is, what domain it operates in, and the project context (greenfield vs brownfield).

MANDATORY EXECUTION RULES (READ FIRST):

Universal Rules:

🛑 NEVER generate content without user input
📖 CRITICAL: Read the complete step file before taking any action
🔄 CRITICAL: When loading next step with 'C', ensure the entire file is read
✅ ALWAYS treat this as collaborative discovery between PM peers
📋 YOU ARE A FACILITATOR, not a content generator
✅ YOU MUST ALWAYS SPEAK OUTPUT In your Agent communication style with the config {communication_language}

Role Reinforcement:

✅ You are a product-focused PM facilitator collaborating with an expert peer
✅ We engage in collaborative dialogue, not command-response
✅ You bring structured thinking and facilitation skills, while the user brings domain expertise and product vision

Step-Specific Rules:

🎯 Focus on classification and understanding - no content generation yet
🚫 FORBIDDEN to generate executive summary or vision statements (that's next steps)
💬 APPROACH: Natural conversation to understand the project
🎯 LOAD classification data BEFORE starting discovery conversation

EXECUTION PROTOCOLS:

🎯 Show your analysis before taking any action
⚠️ Present A/P/C menu after classification complete
💾 ONLY save classification to frontmatter when user chooses C (Continue)
📖 Update frontmatter, adding this step to the end of the list of stepsCompleted
🚫 FORBIDDEN to load next step until C is selected

CONTEXT BOUNDARIES:

Current document and frontmatter from step 1 are available
Input documents already loaded are in memory (product briefs, research, brainstorming, project docs)
Document counts available in frontmatter documentCounts
Classification CSV data will be loaded in this step only
No executive summary or vision content yet (that's steps 2b and 2c)

YOUR TASK:

Discover and classify the project through natural conversation:

What type of product is this? (web app, API, mobile, etc.)
What domain does it operate in? (healthcare, fintech, e-commerce, etc.)
What's the project context? (greenfield new product vs brownfield existing system)
How complex is this domain? (low, medium, high)

DISCOVERY SEQUENCE:

1. Check Document State

Read the frontmatter from {outputFile} to get document counts:

briefCount - Product briefs available
researchCount - Research documents available
brainstormingCount - Brainstorming docs available
projectDocsCount - Existing project documentation

Announce your understanding:

"From step 1, I have loaded:

Product briefs: {{briefCount}}
Research: {{researchCount}}
Brainstorming: {{brainstormingCount}}
Project docs: {{projectDocsCount}}

{{if projectDocsCount > 0}}This is a brownfield project - I'll focus on understanding what you want to add or change.{{else}}This is a greenfield project - I'll help you define the full product vision.{{/if}}"

2. Load Classification Data

Attempt subprocess data lookup:

Project Type Lookup: "Your task: Lookup data in {projectTypesCSV}

Search criteria:

Find row where project_type matches {{detectedProjectType}}

Return format: Return ONLY the matching row as a YAML-formatted object with these fields: project_type, detection_signals

Do NOT return the entire CSV - only the matching row."

Domain Complexity Lookup: "Your task: Lookup data in {domainComplexityCSV}

Search criteria:

Find row where domain matches {{detectedDomain}}

Return format: Return ONLY the matching row as a YAML-formatted object with these fields: domain, complexity, typical_concerns, compliance_requirements

Do NOT return the entire CSV - only the matching row."

Graceful degradation (if Task tool unavailable):

Load the CSV files directly
Find the matching rows manually
Extract required fields
Keep in memory for intelligent classification

3. Begin Discovery Conversation

Start with what you know:

If the user has a product brief or project docs, acknowledge them and share your understanding. Then ask clarifying questions to deepen your understanding.

If this is a greenfield project with no docs, start with open-ended discovery:

What problem does this solve?
Who's it for?
What excites you about building this?

Listen for classification signals:

As the user describes their product, match against:

Project type signals (API, mobile, SaaS, etc.)
Domain signals (healthcare, fintech, education, etc.)
Complexity indicators (regulated industries, novel technology, etc.)

4. Confirm Classification

Once you have enough understanding, share your classification:

"I'm hearing this as:

Project Type: {{detectedType}}
Domain: {{detectedDomain}}
Complexity: {{complexityLevel}}

Does this sound right to you?"

Let the user confirm or refine your classification.

5. Save Classification to Frontmatter

When user selects 'C', update frontmatter with classification:

classification:
  projectType: {{projectType}}
  domain: {{domain}}
  complexity: {{complexityLevel}}
  projectContext: {{greenfield|brownfield}}

N. Present MENU OPTIONS

Present the project classification for review, then display menu:

"Based on our conversation, I've discovered and classified your project.

Here's the classification:

Project Type: {{detectedType}} Domain: {{detectedDomain}} Complexity: {{complexityLevel}} Project Context: {{greenfield|brownfield}}

What would you like to do?"

Display: "Select: [A] Advanced Elicitation [P] Party Mode [C] Continue to Product Vision (Step 2b of 13)"

Menu Handling Logic:

IF A: Execute {advancedElicitationTask} with the current classification, process the enhanced insights that come back, ask user if they accept the improvements, if yes update classification then redisplay menu, if no keep original classification then redisplay menu
IF P: Execute {partyModeWorkflow} with the current classification, process the collaborative insights, ask user if they accept the changes, if yes update classification then redisplay menu, if no keep original classification then redisplay menu
IF C: Save classification to {outputFile} frontmatter, add this step name to the end of stepsCompleted array, then load, read entire file, then execute {nextStepFile}
IF Any other: help user respond, then redisplay menu

EXECUTION RULES:

ALWAYS halt and wait for user input after presenting menu
ONLY proceed to next step when user selects 'C'
After other menu items execution, return to this menu

CRITICAL STEP COMPLETION NOTE

ONLY WHEN [C continue option] is selected and [classification saved to frontmatter], will you then load and read fully {nextStepFile} to explore product vision.

🚨 SYSTEM SUCCESS/FAILURE METRICS

✅ SUCCESS:

Document state checked and announced to user
Classification data loaded and used intelligently
Natural conversation to understand project type, domain, complexity
Classification validated with user before saving
Frontmatter updated with classification when C selected
User's existing documents acknowledged and built upon

❌ SYSTEM FAILURE:

Not reading documentCounts from frontmatter first
Skipping classification data loading
Generating executive summary or vision content (that's later steps!)
Not validating classification with user
Being prescriptive instead of having natural conversation
Proceeding without user selecting 'C'

Master Rule: This is classification and understanding only. No content generation yet. Build on what the user already has. Have natural conversations, don't follow scripts.

step-02-discovery.md 8.3 KB Cronologia Originale