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Enhance /oden:prd with deeper question system #11

Description

@israads

Task: Enhanced PRD Question System

Description

Enhance the existing /oden:prd command with a deeper, more intelligent question system that generates 5-8 contextual questions instead of the current basic 3-5. Questions should adapt based on feature type, project context, and existing documentation while providing follow-up clarification when needed.

Functional Requirements

  • Deeper Question Set: Expand from 3-5 to 5-8 intelligent questions per PRD
  • Context Adaptation: Questions adapt based on feature type and project context
  • Follow-up Logic: Ask clarifying questions when answers need expansion
  • Consideration Prompts: Suggest aspects user might not have considered
  • Reference Integration: Include competitive analysis and existing project patterns

Technical Implementation

Files to Modify:

  • .claude/commands/oden/prd.md - Enhanced command definition
  • lib/commands/prd.js - Extended question generation logic
  • lib/prd/enhanced-questions.js - New intelligent question system
  • lib/prd/context-adapter.js - Project context analysis for question customization
  • data/prd-question-templates.json - Expanded question database

Architecture:

  1. Context Analysis: Analyze project type, existing docs, tech stack
  2. Question Selection: Choose relevant questions from expanded database
  3. Dynamic Follow-ups: Generate clarifying questions based on initial answers
  4. Consideration Engine: Suggest additional aspects to consider
  5. Integration: Seamless integration with existing PRD workflow

Acceptance Criteria

Core Functionality:

  • Enhanced /oden:prd feature-name generates 5-8 contextual questions
  • Questions adapt based on detected project type (web, mobile, API, etc.)
  • Follows up with clarifying questions when answers are incomplete
  • References existing project documentation and patterns
  • Maintains backward compatibility with existing PRD structure
  • Integrates smoothly with /oden:brainstorm when used together

Question Intelligence:

  • Business impact questions (user value, success metrics, ROI)
  • Technical complexity questions (scalability, performance, integration)
  • User experience questions (accessibility, usability, edge cases)
  • Risk assessment questions (security, compliance, dependencies)
  • Timeline and resource questions (effort, skills, external dependencies)

Context Adaptation Examples:

E-commerce Features:

  • How will this affect conversion rates and user purchase flow?
  • What payment processing and security requirements apply?
  • How will inventory management integrate with this feature?
  • What analytics and tracking capabilities are needed?

Authentication Features:

  • What compliance requirements (GDPR, SOC2, HIPAA) apply?
  • How will this integrate with existing user management systems?
  • What backup authentication methods should be available?
  • How will you handle account recovery and security incidents?

API Features:

  • What rate limiting and scaling strategies are needed?
  • How will you maintain backward compatibility during updates?
  • What documentation and developer experience is required?
  • What monitoring and alerting capabilities are essential?

Follow-up Logic:

  • Detects vague answers and asks for specifics
  • Identifies missing stakeholder considerations
  • Prompts for success criteria when not provided
  • Requests clarification on technical constraints
  • Asks about user research or validation plans

Integration Features:

  • References competitive analysis data for context
  • Incorporates existing project architecture decisions
  • Suggests related features or dependencies
  • Highlights potential conflicts with existing features
  • Recommends complementary functionality

Dependencies

  • Internal: Existing /oden:prd command structure
  • Integration: /oden:brainstorm for seamless transition
  • Data: Competitive analysis files, technical decisions documentation

Implementation Notes

  • Maintain all existing PRD generation functionality
  • Add question intelligence without breaking current workflows
  • Create question templates that can be mixed and matched
  • Implement answer analysis for follow-up generation
  • Ensure generated PRDs remain compatible with /oden:epic

Enhanced Question Categories

Business & User Value:

  • What specific user problem does this solve?
  • How will you measure success and user adoption?
  • What's the business impact and expected ROI?
  • Who are the primary and secondary user personas?

Technical Implementation:

  • What technical constraints or dependencies exist?
  • How will this integrate with existing architecture?
  • What performance requirements must be met?
  • What scalability considerations apply?

User Experience:

  • What accessibility requirements must be supported?
  • How will users discover and learn this feature?
  • What error states and edge cases need handling?
  • What mobile and cross-platform requirements exist?

Risk & Compliance:

  • What security or privacy considerations apply?
  • Are there regulatory or compliance requirements?
  • What could cause this feature to fail or be rejected?
  • What external dependencies pose risks?

Risks

  • Medium: Questions might overwhelm users with too much depth
  • Medium: Context detection might generate irrelevant questions
  • Low: Integration with brainstorming could create redundancy

Mitigation Strategies

  • Progressive disclosure: start with core questions, expand based on answers
  • Clear categorization so users understand the purpose of each question
  • Testing with various project types to refine question relevance
  • Integration testing with brainstorming workflow to avoid duplication

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