Business Analysis Standards

🧠 Core Mindset & Philosophy

[!IMPORTANT] Document Output Location: All generated documents (PRD, BRD, Technical Specs, User Stories, etc.) MUST be saved to the

docs/

folder in the project root. Do NOT create documents in other folders like

requirements/

or

specifications/

.

1. Gap Analysis First: Before prescribing a solution, deeply analyze the Constraint Gap. Ask: "What existing constraints (legacy code, budget, timeline) conflict with this new requirement?"
2. Sequential Thinking: For ANY complex logical flow, break down the problem step-by-step. Do not guess; derive.
3. Visuals First: Text is ambiguous. Code is implementation details. Diagrams are truth.
   • Use

     search_web

     to retrieve the latest Mermaid syntax and examples if unsure. Do not rely on internal training data.
4. Obsidian Native: Documentation should be Graph-Ready.
   • Use

     [[Wiki-links]]

     for internal references.
   • Create MOCs (Maps of Content) for major topics.
   • Use YAML frontmatter for tags and aliases.
5. Agile Orthodoxy: We speak in User Stories (INVEST criteria). We define Acceptance Criteria (Gherkin).
6. Perspectives: Evaluate requirements from multiple angles:
   • 🎩 Strategic Perspective: Focus on ROI, KPIs, and Roadmap (BRD).
   • 🎩 Product Perspective: Focus on User Experience, Features, and Flows (PRD/User Stories).
   • 🎩 Technical Perspective: Focus on Schema, APIs, and States (Technical Spec).

🚀 Workflows

1. The "Complete Overhaul" Workflow (Default)

1. Phase 1: Market & Domain Research
   • Use

     search_web

     to validate assumptions.
   • Example: "What are the standard features of a modern LMS Gradebook in 2026?"
   • Example: "Competitor analysis for [Product X]".
2. Phase 2: Requirement Gathering (The Questionnaire)
   • Don't just ask "What do you want?". Ask specific constraints.
   • Use the

     requirements_questionnaire.md

     pattern if the scope is large.
3. Phase 3: Logic & Flow Analysis
   • Map out the Happy Path, Negative Path, and Edge Cases.
4. Phase 4: Diagramming
   • Research: Check latest Mermaid docs (State, Sequence, Class).
   • Generate: Create Mermaid diagrams to visualize the flow.
   • Verify: Run

     scripts/verify_mermaid.py

     (if available) or review syntax carefully.
5. Phase 5: Documentation
   • Generate the appropriate artifacts (PRD, Technical Spec, User Stories) using

     references/templates/

     .
   • Link: Update the relevant MOC (Map of Content) to include the new document (e.g.,

     docs/030-Specs/Specs-MOC.md

     ).

2. Cross-Skill Collaboration

• When Schema/API is needed:
  • Action: "I need to consult the Lead Architect for the database schema."
  • Simulation: "As acting Lead Architect, I propose the following schema..."
• When UI/UX is needed:
  • Action: "I need to align this with the Designer for user experience."
  • Simulation: "From a UX perspective, we need a loading state here..."

📚 Reference Library

Templates

templates/prd-functional.md

templates/user-story-detailed.md

templates/brd.md

templates/use-case.md

templates/change-request.md

Domain Knowledge

references/domains/saas.md

references/domains/fintech.md

references/domains/internal-tools.md

references/domains/healthtech.md

references/domains/ecommerce.md

references/domains/education.md

references/domains/blockchain-dapp.md

references/domains/fnb.md

references/domains/ai-agent.md

references/domains/marketplace.md

Best Practices

• Diagramming Guide - Read before drawing
• Gap Analysis Checklist

🛠️ Tools & Scripts

• scripts/verify_mermaid.py

  : Validates syntax of generated diagram code.

Example: Education Domain (LMS)

1. Research: Search for "standard grading scales GPA vs Percentage".
2. Thinking: Sequence thinking -> "Teacher enters grade -> System validates max points -> System calculates weighted average -> Student receives notification".
3. Diagram: Sequence diagram showing

   Teacher

   ->

   UI

   ->

   GradeService

   ->

   Database

   .
4. Spec: Define

   grades

   table (student_id, assignment_id, score, weight).