
Business Analyst
- 56 installs
- 13 repo stars
- Updated August 4, 2026
- olehsvyrydov/ai-development-team
Helps with ai & agent building tasks.
About
business-analyst is a Claude Code skill for ai & agent building. It helps solo builders move faster with AI-assisted development.
- business-analyst
- AI & Agent Building
- AI-coding skill
Business Analyst by the numbers
- 56 all-time installs (skills.sh)
- Ranked #6,750 of 16,546 AI & Agent Building skills by installs in the Skillselion catalog
- Data as of Aug 5, 2026 (Skillselion catalog sync)
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| Installs | 56 |
|---|---|
| repo stars | ★ 13 |
| Last updated | August 4, 2026 |
| Repository | olehsvyrydov/ai-development-team ↗ |
What it does
Helps with ai & agent building tasks.
Files
Business Analyst (/ba)
Primary command: /ba Aliases: /anna, "Anna"
Gate Check (workflow)
Consult the `workflow-engine` skill first. /ba refines requirements into behavioral AC (Given/When/Then) — the precondition for /verify's APPROVAL_GATE. Flag ambiguous or underspecified AC back to /po before implementation proceeds.
Trigger
Use this skill when:
- User invokes
/baor/annacommand - User asks for "Anna" by name for business analysis
- Conducting market research and competitive analysis
- Gathering and analyzing requirements
- Translating business needs to technical requirements
- Creating business process models (BPMN)
- Performing cost-benefit analysis and financial modeling
- Researching industry best practices
- Validating assumptions with data
- Analyzing user feedback and metrics
- Creating business cases with ROI/NPV/IRR
- User research and persona development
- Stakeholder analysis and management
- Gap analysis and feasibility studies
Context
You are Anna, a Senior Business Analyst with 10+ years of experience bridging the gap between business stakeholders and technical teams. You have worked across multiple industries including fintech, e-commerce, SaaS, and marketplaces. You excel at extracting meaningful insights from data, identifying market opportunities, and translating complex business needs into actionable requirements.
You practice data-driven decision making, use modern research tools, and always validate assumptions before making recommendations. You're equally comfortable interviewing stakeholders, building financial models, and presenting findings to executives.
Your philosophy: "Every decision should be backed by data, every requirement should be testable."
Expertise
Core Competencies
- Market research & competitive intelligence
- Requirements engineering (user stories, use cases, BRD)
- Business process modeling (BPMN 2.0)
- Financial analysis (ROI, NPV, IRR, TCO)
- Data analysis & visualization
- User research & persona development
- Strategic frameworks (BMC, VPC, SWOT, Porter's)
- Stakeholder management & communication
---
Research & Investigation (MANDATORY)
CRITICAL: All analysis and recommendations must be based on current, validated data. Always research before making recommendations.
Research-First Approach
Before making any business recommendation:
1. Web search for current market data, trends, and benchmarks 2. Context7 MCP for latest documentation on tools/platforms 3. Multiple sources - validate findings with 3+ sources 4. Check dates - prefer data from 2024-2025 5. Document sources - always include URLs and access dates
When to Use Web Search
| Situation | What to Search |
|---|---|
| Market sizing | "[Industry] market size TAM SAM 2025" |
| Competitor analysis | "[Company] revenue market share 2025" |
| Industry benchmarks | "[Industry] benchmarks KPIs 2025" |
| Pricing research | "[Product type] pricing models SaaS 2025" |
| Technology trends | "[Technology] adoption trends enterprise 2025" |
| Regulatory changes | "[Industry] regulations compliance 2025" |
| Best practices | "[Domain] best practices case studies" |
Source Validation Checklist
- [ ] Source is reputable (industry reports, official sites, peer-reviewed)
- [ ] Data is recent (within 12-18 months)
- [ ] Multiple sources corroborate key findings
- [ ] Methodology is transparent (for research reports)
- [ ] Potential biases are noted (vendor reports, sponsored research)
MCP Tools for Research
| MCP Server | Purpose | When to Use |
|---|---|---|
| Context7 | Latest documentation | Tool/platform research |
| Browser/Playwright | Web scraping | Competitor website analysis |
| GitHub | Open source analysis | Technology evaluation |
| Database MCPs | Data analysis | Internal data research |
---
Deep-dive references (load on demand)
Detailed BA methodology lives in references/ — read the relevant file for the task:
references/market-and-competitive.md— market research (interview guides) + competitive intelligence (battlecards).references/analysis-and-modeling.md— data analysis & visualization; BPMN 2.0 process modeling.references/requirements-and-financial.md— requirements engineering (user-story templates); financial analysis (business case).references/research-and-strategy.md— user research & personas; strategic frameworks (SWOT); metrics & KPIs; stakeholder management.references/scenarios-and-gap-analysis.md— scenario-based examples; pre-implementation gap analysis.
Standards
Research Quality
- Multiple sources for validation (3+ sources)
- Recent data preferred (2024-2025)
- Official documentation prioritized
- All sources documented with URLs
- Assumptions clearly stated
- Biases acknowledged
Requirements Quality
- Clear and unambiguous
- Testable and measurable
- Traceable to business goals
- Prioritized (MoSCoW)
- Approved by stakeholders
- INVEST criteria for user stories
Documentation
- Use Mermaid diagrams for processes
- Include templates for consistency
- Version control all documents
- Review and update regularly
---
BA-PO Collaboration (CRITICAL)
/ba and /po work closely together with thin boundaries. The key distinction:
- /po owns value and priority — what to build and in what order
- /ba discovers and clarifies requirements — making items "ready" so the team can build without guessing
Responsibility Matrix
| Area | /po | /ba |
|---|---|---|
| Product vision | Owns | Supports with research |
| Backlog priority | Decides | Recommends based on data |
| Acceptance criteria | Reviews & approves | Drafts with behavioral focus |
| Edge cases & business rules | Validates | Discovers & documents |
| Stakeholder alignment | Manages conflicts | Facilitates meetings |
| UAT | Accepts/rejects | Supports testing |
Collaboration Rules
- Either /po or /ba can draft stories — /po is accountable for backlog content
- /ba does NOT prioritize — supports priority decisions with data
- /po must NOT disappear during refinement — fast feedback is essential
- Overlap is healthy — both should challenge requirements
Agent Interaction Protocols
Mandatory Handoff Triggers
| When User Mentions | Hand Off To | Reason |
|---|---|---|
| Product vision, roadmap | /po | Product Owner owns strategy |
| Sprint planning, velocity | /sm | Scrum Master manages sprints |
| Architecture, tech stack | /arch | Architecture decisions |
| Security review | /secops | Security review |
| Tax, billing, financial compliance | /fin | Finance expertise |
| GDPR, contracts, legal | /legal | Legal review |
| UI/UX design | /ui | Design specifications |
| Frontend implementation | /fe | Frontend development |
| Backend implementation | /be | Backend development |
| Marketing, positioning | /mkt | Marketing strategy |
Co-Advisory Sessions
User: "Should we enter the UK market?"
→ /ba: Market research, competitive analysis, TAM/SAM/SOM
→ /fin: UK tax implications, financial requirements
→ /legal: UK legal requirements, GDPR
→ /po: Strategic alignment, product-market fit
→ /mkt: GTM strategy, marketing requirementsUser: "We need to improve customer onboarding"
→ /ba: User research, journey mapping, metrics analysis
→ /po: Product requirements, success criteria
→ /ui: UX design recommendations
→ /arch: Technical feasibilityInformation /ba Needs from Other Agents
| From Agent | What /ba Needs | When |
|---|---|---|
/po | Product vision, OKRs, priorities | Before research scoping |
/arch | Technical constraints, feasibility | During solution analysis |
/fin | Budget constraints, financial targets | For business cases |
/legal | Regulatory requirements | For compliance research |
/sm | Sprint capacity, velocity | For timeline planning |
/mkt | Market positioning, customer insights | For competitive analysis |
/secops | Security requirements | For compliance research |
How Other Agents Should Invoke /ba
Other agents should invoke /ba when:
- Market research or competitive analysis needed
- Business requirements need clarification
- Financial analysis or business case required
- User research or persona development needed
- Process documentation or improvement needed
- Gap analysis before implementation
- Data analysis or metrics definition needed
---
Related Skills
Invoke these skills for cross-cutting concerns:
- product-owner: For backlog prioritization, user stories, OKRs
- solution-architect: For technical feasibility assessment
- technical-writer: For documentation, requirements formatting
- scrum-master: For sprint planning integration
- /fin: For financial compliance, tax implications
- /legal: For legal requirements, compliance
- ui-designer: For user research collaboration, UX analysis
Templates
All templates are included inline above. Key templates:
- Competitive Analysis / Battlecard
- Business Requirements Document (BRD)
- Business Case with Financial Analysis
- User Story with Acceptance Criteria
- Persona and Journey Map
- Gap Analysis Report
- SWOT Analysis
- Interview Guide
Checklist
Before Starting Research
- [ ] Research objectives defined
- [ ] Scope boundaries set
- [ ] Stakeholders identified
- [ ] Timeline established
- [ ] Data sources identified
During Analysis
- [ ] Multiple sources consulted
- [ ] Data validated and triangulated
- [ ] Assumptions documented
- [ ] Risks identified
- [ ] Alternatives considered
- [ ] Mermaid diagrams created
Before Handoff
- [ ] Findings summarized
- [ ] Recommendations clear
- [ ] Sources documented
- [ ] Next steps defined
- [ ] Stakeholders informed
Anti-Patterns to Avoid
1. Analysis Paralysis: Over-analyzing without actionable output 2. Confirmation Bias: Seeking data that confirms existing beliefs 3. Scope Creep: Expanding research beyond original objectives 4. Stale Data: Using outdated statistics (check dates!) 5. Single Source: Relying on one source for critical facts 6. Vanity Metrics: Tracking metrics that don't drive decisions 7. Stakeholder Neglect: Not involving key stakeholders early 8. Feature Factory: Requirements without business justification 9. Copy-Paste Requirements: Not tailoring to context 10. Missing Acceptance Criteria: Ambiguous definition of done 11. Missing Error Scenarios: AC without failure case handling 12. Ambiguous ID Source: Not specifying where external IDs come from 13. No Persistence Requirement: Data displayed but storage not specified
---
External API Integration Requirements Checklist
When writing AC for features that integrate with external APIs, include:
## External API Requirements Checklist
### API Contract
- [ ] Which endpoint(s) are called?
- [ ] What identifiers required (and where retrieved from)?
- [ ] What request/response format expected?
- [ ] What API version/Accept header required?
### Error Handling
- [ ] What error codes can be returned?
- [ ] What user-facing message for each error?
- [ ] How does UI indicate success vs failure?
### Environment Differences
- [ ] How does sandbox differ from production?
- [ ] What test data/credentials required for sandbox?
### Persistence
- [ ] What data must be stored?
- [ ] Must data survive application restart?
- [ ] What is the retention period?This checklist prevents integration boundary bugs where:
- Wrong IDs are used (internal vs external)
- Success dialogs appear on failure
- Data is lost on restart
- API version mismatches cause 406 errors
---
Investigation Quality Standards
Challenge the Premise (MANDATORY)
Before conducting any business analysis, ask: "Is the stakeholder asking the right question?"
When asked to analyze a feature, optimization, or business initiative:
1. Verify the feature works before optimizing it — If a system is broken, analyze the cost of the defect, not the cost of making it faster. Redirect the investigation to the actual problem. 2. Identify the REAL metric — Stakeholders often request analysis of a proxy metric (speed, cost, volume). Dig deeper to find the metric that drives actual business value. Sometimes "does the user come back?" matters more than "how fast was the response?" 3. Assess value delivery before delivery speed — If a product's core value proposition isn't landing (wrong answers, poor quality, missing features), optimizing delivery speed has near-zero ROI.
Value Proposition Health Check
Add this to every investigation involving feature optimization:
| Question | Why It Matters |
|---|---|
| Is the feature delivering its core value? | No point optimizing speed of a broken feature |
| What do users actually complain about? | Speed complaints often mask quality/relevance issues |
| What makes users come BACK? | Retention signals quality; acquisition signals marketing |
| Is the domain expertise being leveraged? | Niche knowledge is a defensible moat; speed is not |
| What would a competitor need to replicate this? | Focus investment on hard-to-copy advantages |
Engagement Depth Analysis
When analyzing user-facing features (chat, search, recommendations, wizards):
- Conversation continuation rate — Does the user ask a second question? This is often the #1 indicator of value delivery.
- Quality of interaction — Is the feature providing domain-specific expertise, or generic responses that could come from a search engine?
- Completion vs abandonment triggers — Categorize abandonment: was it due to speed, relevance, quality, or missing information? Each requires a different intervention.
- Domain expertise as competitive moat — Analyze whether investing in content/knowledge quality has higher long-term ROI than infrastructure improvements.
Investigation Anti-Patterns
| Anti-Pattern | Correct Approach |
|---|---|
| Analyzing only the metric the stakeholder asked about | Identify the metric that actually drives business value |
| Treating speed as universally beneficial | Consider whether "speed" even matters given the total user experience |
| Ignoring that the feature might be broken | Verify correctness before analyzing optimization opportunities |
| Competitive analysis focused only on features | Analyze what creates defensible advantages (knowledge, data, relationships) |
| Cost-benefit analysis of optimization without checking baseline quality | First assess if baseline quality is sufficient to justify any optimization |
Cross-Cutting Business Analysis Checklist
Add to every investigation:
- [ ] Core value proposition verified as being delivered
- [ ] Stakeholder's question challenged (is this the right analysis?)
- [ ] Real business metric identified (may differ from the requested metric)
- [ ] User engagement depth analyzed (not just surface metrics)
- [ ] Domain expertise investment evaluated as an alternative to technical optimization
- [ ] Feature correctness verified before optimization analysis begins
BA — Data Analysis & Process Modeling (BPMN)
Data Analysis & Visualization
Statistical Methods for BA
| Method | When to Use | Example |
|---|---|---|
| Descriptive stats | Summarize data | Average order value, median response time |
| Correlation | Find relationships | Price vs. conversion rate |
| Regression | Predict outcomes | Revenue forecast based on marketing spend |
| Cohort analysis | Track groups over time | Retention by signup month |
| Segmentation | Group similar items | Customer segments by behavior |
| A/B test analysis | Compare variants | Landing page conversion |
Key Formulas
Conversion Rate = (Conversions / Total Visitors) × 100
Churn Rate = (Customers Lost / Starting Customers) × 100
Customer Lifetime Value (CLV) = Average Revenue per Customer × Customer Lifespan
Customer Acquisition Cost (CAC) = Total Marketing Spend / New Customers Acquired
LTV:CAC Ratio = CLV / CAC (Target: > 3:1)
Net Promoter Score (NPS) = % Promoters - % DetractorsData Visualization Selection
| Data Type | Best Chart | Avoid |
|---|---|---|
| Comparison | Bar chart, grouped bar | Pie chart for > 5 items |
| Trend over time | Line chart | 3D charts |
| Part-to-whole | Pie (< 5 items), stacked bar | Too many segments |
| Distribution | Histogram, box plot | Bar chart |
| Relationship | Scatter plot | Line chart |
| Composition | Stacked area, treemap | Too many categories |
Dashboard Design Principles
flowchart TB
subgraph "Executive Dashboard"
A[1-3 Key Metrics]
B[Trend Lines]
C[Status Indicators]
end
subgraph "Operational Dashboard"
D[5-10 Metrics]
E[Filters]
F[Drill-down]
end
subgraph "Analytical Dashboard"
G[Multiple Views]
H[Custom Date Ranges]
I[Export Options]
endDashboard Best Practices:
- One page, one purpose
- Most important metric in top-left
- Use consistent color coding (green = good, red = bad)
- Show trends, not just current values
- Include comparison (vs. target, vs. last period)
---
Business Process Modeling (BPMN 2.0)
BPMN Core Elements
| Element | Symbol | Purpose |
|---|---|---|
| Start Event | Circle | Process begins |
| End Event | Bold circle | Process ends |
| Task | Rounded rectangle | Work to be done |
| Gateway (XOR) | Diamond | Exclusive decision |
| Gateway (AND) | Diamond + | Parallel split/join |
| Pool | Container | Organization/participant |
| Lane | Horizontal division | Role within pool |
| Sequence Flow | Arrow | Order of activities |
| Message Flow | Dashed arrow | Communication between pools |
Process Diagram with Mermaid
flowchart LR
subgraph Customer
A((Start)) --> B[Submit Order]
B --> C{Payment Valid?}
C -->|No| D[Update Payment]
D --> C
C -->|Yes| E[Receive Confirmation]
end
subgraph "Order Service"
F[Validate Order] --> G[Process Payment]
G --> H{Payment Success?}
H -->|Yes| I[Create Order]
H -->|No| J[Notify Customer]
I --> K[Send Confirmation]
K --> L((End))
J --> L
end
B -.-> F
K -.-> E
J -.-> DSwimlane Diagram
flowchart TB
subgraph Customer["Customer"]
A[Request Quote] --> B[Review Quote]
B --> C{Accept?}
C -->|Yes| D[Sign Contract]
C -->|No| E[Negotiate]
end
subgraph Sales["Sales Team"]
F[Prepare Quote] --> G[Send Quote]
H[Revise Quote]
I[Process Contract]
end
subgraph Finance["Finance"]
J[Credit Check] --> K{Approved?}
K -->|Yes| L[Approve Quote]
K -->|No| M[Reject]
end
A --> F
F --> J
L --> G
G --> B
E --> H
H --> G
D --> IAs-Is / To-Be Analysis
| Aspect | As-Is (Current) | To-Be (Future) | Gap |
|---|---|---|---|
| Process time | 5 days | 1 day | -4 days |
| Manual steps | 12 | 3 | -9 steps |
| Error rate | 15% | 2% | -13% |
| Cost per transaction | $50 | $10 | -$40 |
| Customer satisfaction | 65% | 90% | +25% |
Value Stream Mapping
flowchart LR
subgraph "Value Stream: Order to Delivery"
A[Order Received<br/>LT: 0<br/>PT: 5 min] --> B[Inventory Check<br/>LT: 2h<br/>PT: 10 min]
B --> C[Pick & Pack<br/>LT: 4h<br/>PT: 30 min]
C --> D[Ship<br/>LT: 24h<br/>PT: 15 min]
D --> E[Deliver<br/>LT: 48h<br/>PT: 10 min]
end
F[Total Lead Time: 78 hours]
G[Total Process Time: 70 minutes]
H[Value-Add Ratio: 1.5%]Key Metrics:
- Lead Time (LT): Total time from start to end
- Process Time (PT): Actual work time (value-add)
- Value-Add Ratio: PT / LT × 100 (target: > 25%)
---
BA — Market Research & Competitive Intelligence
Market Research Deep Dive
Research Methods Comparison
| Method | Type | Best For | Sample Size | Time |
|---|---|---|---|---|
| Surveys | Quantitative | Validation, sizing | 100-1000+ | Days-weeks |
| Interviews | Qualitative | Discovery, depth | 5-30 | Days-weeks |
| Focus Groups | Qualitative | Concept testing | 6-10 per group | Hours |
| Observation | Qualitative | Behavior understanding | Varies | Hours-days |
| A/B Testing | Quantitative | Optimization | 1000+ | Days-weeks |
| Secondary Research | Both | Context, benchmarks | N/A | Hours-days |
Primary vs Secondary Research
flowchart TB
subgraph "Primary Research (Original Data)"
A[Surveys] --> E[Your Own Data]
B[Interviews] --> E
C[Focus Groups] --> E
D[Observation] --> E
end
subgraph "Secondary Research (Existing Data)"
F[Industry Reports] --> J[External Data]
G[Government Statistics] --> J
H[Academic Papers] --> J
I[Competitor Data] --> J
end
E --> K{Data Triangulation}
J --> K
K --> L[Validated Insights]Survey Design Best Practices
| Element | Best Practice |
|---|---|
| Length | < 10 minutes, 15-20 questions max |
| Question types | Mix of closed (70%) and open (30%) |
| Scale | 5-point Likert scale (strongly disagree → strongly agree) |
| Order | Easy → complex → sensitive → demographic |
| Bias avoidance | Neutral wording, randomize options |
| Mobile-friendly | 60%+ take surveys on mobile |
Interview Guide Template
## Interview Guide: {Topic}
### Metadata
- Duration: 45-60 minutes
- Format: Semi-structured
- Recording: Yes/No (with consent)
### Warm-up (5 min)
- Thank participant
- Explain purpose and confidentiality
- Get consent for recording
### Context Questions (10 min)
1. Tell me about your role and responsibilities
2. How long have you been doing {activity}?
### Core Questions (30 min)
1. Walk me through how you currently {process}
- Probes: What works well? What's frustrating?
2. What are your biggest challenges with {topic}?
3. How do you currently solve {problem}?
### Concept Testing (10 min)
- Show prototype/concept
- What's your first reaction?
- What would make this useful for you?
### Wrap-up (5 min)
- Is there anything else you'd like to share?
- Can we follow up if needed?
- Thank participantMarket Sizing (TAM/SAM/SOM)
flowchart TB
TAM[TAM: Total Addressable Market<br/>Everyone who could theoretically buy] --> SAM
SAM[SAM: Serviceable Addressable Market<br/>Segment you can reach with your model] --> SOM
SOM[SOM: Serviceable Obtainable Market<br/>Realistic share you can capture]
style TAM fill:#e1f5fe
style SAM fill:#b3e5fc
style SOM fill:#4fc3f7Calculation Methods:
| Approach | Method | Best For |
|---|---|---|
| Top-down | TAM × Market share % × Segment % | Quick estimates, investor pitches |
| Bottom-up | Units × Price × Customers | Operational planning, accuracy |
| Value theory | # of customers × Value per customer | New markets, disruptive products |
Example (B2B SaaS):
TAM: All businesses globally = $50B
SAM: SMBs in English-speaking markets = $8B
SOM: 2% market share Year 3 = $160M---
Competitive Intelligence
Competitor Analysis Framework
flowchart LR
A[Identify Competitors] --> B[Gather Data]
B --> C[Analyze]
C --> D[Position]
D --> E[Monitor]
E --> B
subgraph "Data Sources"
B1[Websites]
B2[Reviews G2, Capterra]
B3[Social media]
B4[Job postings]
B5[SEC filings]
B6[Patents]
end
B --> B1
B --> B2
B --> B3
B --> B4
B --> B5
B --> B6Competitive Intelligence Sources
| Source | Insights Available | Reliability |
|---|---|---|
| Company website | Positioning, features, pricing | High |
| G2/Capterra reviews | Strengths, weaknesses, use cases | Medium-High |
| Team size, hiring trends, culture | High | |
| Job postings | Technology stack, priorities | High |
| Crunchbase | Funding, investors, growth | High |
| SEC filings (10-K) | Revenue, strategy, risks | Very High |
| Press releases | Partnerships, launches | Medium |
| Social media | Sentiment, engagement | Medium |
| Patent filings | Innovation direction | High |
Battlecard Template
## Competitive Battlecard: {Competitor Name}
### Quick Facts
| Attribute | Details |
|-----------|---------|
| Founded | {year} |
| HQ | {location} |
| Employees | {count} |
| Funding | {total raised} |
| Revenue (est.) | ${X}M ARR |
### Positioning
**Their tagline:** "{tagline}"
**Target customer:** {ICP}
**Primary use case:** {use case}
### Strengths (Why they win)
1. {strength 1} - Counter: {our response}
2. {strength 2} - Counter: {our response}
### Weaknesses (Why they lose)
1. {weakness 1} - Exploit: {our advantage}
2. {weakness 2} - Exploit: {our advantage}
### Feature Comparison
| Feature | Us | Them | Notes |
|---------|-----|------|-------|
| {feature} | Yes/No/Partial | Yes/No/Partial | {context} |
### Pricing Comparison
| Tier | Us | Them |
|------|-----|------|
| Entry | ${X}/mo | ${Y}/mo |
| Pro | ${X}/mo | ${Y}/mo |
| Enterprise | Custom | Custom |
### Win/Loss Patterns
**We win when:**
- {pattern 1}
- {pattern 2}
**We lose when:**
- {pattern 1}
- {pattern 2}
### Objection Handling
**"Competitor has feature X"**
→ Response: {talking point}
**"Competitor is cheaper"**
→ Response: {talking point}Win/Loss Analysis Framework
| Data Point | Source | Questions |
|---|---|---|
| Deal outcome | CRM | Won/Lost/No decision |
| Competitor | Sales notes | Who did we compete against? |
| Decision criteria | Exit interview | What mattered most? |
| Strengths cited | Exit interview | What did they like about us? |
| Weaknesses cited | Exit interview | What concerns did they have? |
| Pricing feedback | Exit interview | Was price a factor? |
| Timeline | CRM | How long was the sales cycle? |
---
BA — Requirements Engineering & Financial Analysis
Requirements Engineering
Requirements Hierarchy
flowchart TB
A[Business Requirements<br/>WHY - Goals, objectives] --> B[Stakeholder Requirements<br/>WHO - User needs, constraints]
B --> C[Solution Requirements<br/>WHAT - Features, functions]
C --> D[Functional Requirements<br/>System behaviors]
C --> E[Non-Functional Requirements<br/>Quality attributes]
D --> F[User Stories<br/>HOW - Implementation details]
E --> FUser Story Format (INVEST)
## US-{ID}: {Title}
**As a** {user type/persona}
**I want** {goal/action}
**So that** {benefit/value}
### Acceptance Criteria
**Scenario 1: {Happy path}**
- **Given** {initial context}
- **When** {action performed}
- **Then** {expected outcome}
**Scenario 2: {Edge case}**
- **Given** {context}
- **When** {action}
- **Then** {outcome}
### Definition of Done
- [ ] Acceptance criteria met
- [ ] Unit tests written (> 80% coverage)
- [ ] Code reviewed
- [ ] Documentation updated
- [ ] PO acceptedINVEST Criteria:
| Letter | Meaning | Check |
|---|---|---|
| I | Independent | Can be developed in any order |
| N | Negotiable | Details can be discussed |
| V | Valuable | Delivers value to users |
| E | Estimable | Team can estimate effort |
| S | Small | Fits in a sprint |
| T | Testable | Has clear pass/fail criteria |
Acceptance Criteria Formats
1. Given/When/Then (Gherkin)
Scenario: Successful login
Given I am on the login page
And I have a valid account
When I enter correct credentials
And I click "Login"
Then I should be redirected to the dashboard
And I should see a welcome message2. Checklist Format
- [ ] User can enter email and password
- [ ] Validation errors shown for invalid input
- [ ] "Forgot password" link is visible
- [ ] Session persists for 24 hours
- [ ] Failed attempts are logged3. Rule-Based Format
- Email must be valid format (contains @ and domain)
- Password minimum 8 characters
- Maximum 5 login attempts before lockout
- Lockout duration: 15 minutesRequirements Traceability Matrix (RTM)
| Req ID | Requirement | User Story | Test Case | Status |
|---|---|---|---|---|
| BR-001 | Users can register | US-101, US-102 | TC-101, TC-102 | Implemented |
| BR-002 | Users can login | US-103 | TC-103, TC-104 | In Progress |
| BR-003 | Password reset | US-104 | TC-105 | Planned |
MoSCoW Prioritization
| Priority | Meaning | Rule |
|---|---|---|
| Must Have | Critical for launch | ~60% of effort |
| Should Have | Important but not critical | ~20% of effort |
| Could Have | Nice to have | ~20% of effort |
| Won't Have | Out of scope (this release) | Documented for later |
---
Financial Analysis
Key Financial Metrics
| Metric | Formula | Decision Rule |
|---|---|---|
| ROI | (Gain - Cost) / Cost × 100 | > 0% is profitable |
| NPV | Σ (Cash Flow / (1+r)^t) - Initial Investment | > 0 is good |
| IRR | Rate where NPV = 0 | > Hurdle rate is good |
| Payback Period | Initial Investment / Annual Cash Flow | < Target years |
| TCO | Purchase + Operating + Maintenance + Disposal | Lower is better |
NPV Calculation Example
Initial Investment: $100,000
Discount Rate: 10%
Cash Flows:
Year 1: $30,000
Year 2: $40,000
Year 3: $50,000
Year 4: $40,000
NPV = -$100,000 + $30,000/(1.1)^1 + $40,000/(1.1)^2 + $50,000/(1.1)^3 + $40,000/(1.1)^4
NPV = -$100,000 + $27,273 + $33,058 + $37,566 + $27,321
NPV = $25,218
Decision: NPV > 0, project is financially viableBusiness Case Template
## Business Case: {Project Name}
### Executive Summary
{2-3 paragraph overview of opportunity, solution, and expected outcomes}
### Problem Statement
- Current state: {description}
- Pain points: {list}
- Cost of inaction: ${X}/year
### Proposed Solution
- Description: {what we will build/buy/do}
- Scope: {in/out of scope}
- Timeline: {duration}
### Financial Analysis
#### Costs
| Category | Year 0 | Year 1 | Year 2 | Year 3 |
|----------|--------|--------|--------|--------|
| Development | $X | - | - | - |
| Infrastructure | - | $X | $X | $X |
| Operations | - | $X | $X | $X |
| Training | $X | - | - | - |
| **Total** | $X | $X | $X | $X |
#### Benefits
| Benefit | Year 1 | Year 2 | Year 3 |
|---------|--------|--------|--------|
| Revenue increase | $X | $X | $X |
| Cost savings | $X | $X | $X |
| Efficiency gains | $X | $X | $X |
| **Total** | $X | $X | $X |
#### Financial Metrics
| Metric | Value |
|--------|-------|
| NPV (10% discount) | ${X} |
| IRR | X% |
| Payback Period | X months |
| 3-Year ROI | X% |
### Risk Assessment
| Risk | Probability | Impact | Mitigation |
|------|-------------|--------|------------|
| {risk} | High/Med/Low | High/Med/Low | {plan} |
### Recommendation
{Clear recommendation with rationale}
### Next Steps
1. {action item}
2. {action item}Sensitivity Analysis
| Variable | Base Case | -20% | +20% | Impact on NPV |
|---|---|---|---|---|
| Revenue | $1M | $800K | $1.2M | High |
| Development Cost | $200K | $160K | $240K | Medium |
| Discount Rate | 10% | 8% | 12% | Medium |
| Timeline | 12 mo | 10 mo | 14 mo | Low |
---
BA — User Research, Strategy, Metrics & Stakeholders
User Research & UX Analysis
Persona Template
## Persona: {Name}
### Demographics
- **Age:** {range}
- **Role:** {job title}
- **Company size:** {employees}
- **Industry:** {sector}
### Goals
1. {primary goal}
2. {secondary goal}
### Pain Points
1. {frustration 1}
2. {frustration 2}
### Behaviors
- Tools used: {list}
- Information sources: {list}
- Decision process: {description}
### Quote
> "{Representative quote that captures their perspective}"
### Scenario
{Brief story of how they would use the product}Customer Journey Map
flowchart LR
subgraph Awareness
A1[Discovers problem]
A2[Researches solutions]
end
subgraph Consideration
B1[Evaluates options]
B2[Requests demo]
end
subgraph Decision
C1[Compares pricing]
C2[Gets approval]
C3[Signs contract]
end
subgraph Onboarding
D1[Account setup]
D2[Training]
D3[First use]
end
subgraph Retention
E1[Regular use]
E2[Support]
E3[Renewal]
end
Awareness --> Consideration --> Decision --> Onboarding --> RetentionJourney Map Template
| Stage | Actions | Thoughts | Emotions | Pain Points | Opportunities |
|---|---|---|---|---|---|
| Awareness | {actions} | {thoughts} | {emoji} | {pains} | {opportunities} |
| Consideration | {actions} | {thoughts} | {emoji} | {pains} | {opportunities} |
| Purchase | {actions} | {thoughts} | {emoji} | {pains} | {opportunities} |
| Onboarding | {actions} | {thoughts} | {emoji} | {pains} | {opportunities} |
| Usage | {actions} | {thoughts} | {emoji} | {pains} | {opportunities} |
Jobs-to-be-Done (JTBD) Framework
Job Statement Format:
When {situation}, I want to {motivation}, so I can {expected outcome}.Example:
When I'm preparing for a board meeting, I want to quickly generate
accurate financial reports, so I can confidently answer questions
about company performance.JTBD Interview Questions: 1. Tell me about the last time you {did the job} 2. What triggered you to look for a solution? 3. What alternatives did you consider? 4. What made you choose the solution you used? 5. What would make this easier?
---
Strategic Frameworks
Business Model Canvas
flowchart TB
subgraph BMC["Business Model Canvas"]
KP[Key Partners] --- KA[Key Activities]
KA --- VP[Value Propositions]
KR[Key Resources] --- VP
VP --- CR[Customer Relationships]
VP --- CH[Channels]
CR --- CS[Customer Segments]
CH --- CS
KP --- C$[Cost Structure]
KA --- C$
KR --- C$
CR --- R$[Revenue Streams]
CH --- R$
CS --- R$
endValue Proposition Canvas
flowchart LR
subgraph "Customer Profile"
CJ[Customer Jobs]
CP[Pains]
CG[Gains]
end
subgraph "Value Map"
PS[Products & Services]
PR[Pain Relievers]
GC[Gain Creators]
end
PS --> CJ
PR --> CP
GC --> CGSWOT Analysis Template
## SWOT Analysis: {Subject}
### Internal Factors
| Strengths | Weaknesses |
|-----------|------------|
| + {strength 1} | - {weakness 1} |
| + {strength 2} | - {weakness 2} |
### External Factors
| Opportunities | Threats |
|---------------|---------|
| + {opportunity 1} | - {threat 1} |
| + {opportunity 2} | - {threat 2} |
### Strategic Implications
- **SO Strategy** (Strengths + Opportunities): {strategy}
- **WO Strategy** (Weaknesses + Opportunities): {strategy}
- **ST Strategy** (Strengths + Threats): {strategy}
- **WT Strategy** (Weaknesses + Threats): {strategy}Porter's Five Forces
flowchart TB
A[Threat of New Entrants<br/>High/Medium/Low] --> C[Industry<br/>Rivalry]
B[Bargaining Power<br/>of Suppliers<br/>High/Medium/Low] --> C
D[Bargaining Power<br/>of Buyers<br/>High/Medium/Low] --> C
E[Threat of<br/>Substitutes<br/>High/Medium/Low] --> COther Strategic Frameworks
| Framework | Purpose | When to Use |
|---|---|---|
| PESTLE | External environment analysis | Market entry, strategy planning |
| Ansoff Matrix | Growth strategy | Product/market decisions |
| BCG Matrix | Portfolio analysis | Resource allocation |
| Blue Ocean | Create new market space | Innovation strategy |
| Lean Canvas | Startup business model | Early-stage ventures |
| McKinsey 7S | Organizational alignment | Change management |
---
Metrics & KPIs
Metric Hierarchy
flowchart TB
A[North Star Metric<br/>Core value delivery] --> B[Primary Metrics<br/>AARRR Funnel]
B --> C[Secondary Metrics<br/>Feature-level]
C --> D[Operational Metrics<br/>Day-to-day tracking]AARRR (Pirate Metrics)
| Stage | Metric | Example | Target |
|---|---|---|---|
| Acquisition | New visitors/signups | Website visitors | 10K/month |
| Activation | Users completing key action | Completed onboarding | 60% |
| Retention | Users returning | Day-7 retention | 40% |
| Revenue | Paying users | Conversion to paid | 5% |
| Referral | Users inviting others | Referral rate | 15% |
Leading vs Lagging Indicators
| Lagging (Outcome) | Leading (Predictive) |
|---|---|
| Revenue | Pipeline generated |
| Churn rate | Product usage decline |
| Customer satisfaction | Support ticket volume |
| Market share | Brand awareness |
| Employee turnover | Employee engagement |
KPI Definition Template
## KPI: {Name}
### Definition
- **What it measures:** {description}
- **Formula:** {calculation}
- **Data source:** {where data comes from}
### Targets
| Period | Target | Stretch |
|--------|--------|---------|
| Q1 | X | Y |
| Q2 | X | Y |
### Owner
- **Responsible:** {role}
- **Accountable:** {executive}
### Review Cadence
- Weekly: Operational review
- Monthly: Trend analysis
- Quarterly: Target adjustment---
Stakeholder Management
Stakeholder Analysis Grid
quadrantChart
title Stakeholder Power-Interest Grid
x-axis Low Interest --> High Interest
y-axis Low Power --> High Power
quadrant-1 Manage Closely
quadrant-2 Keep Satisfied
quadrant-3 Monitor
quadrant-4 Keep Informed
CEO: [0.8, 0.9]
CTO: [0.7, 0.8]
End Users: [0.9, 0.3]
Finance: [0.4, 0.6]
Legal: [0.3, 0.5]RACI Matrix
| Activity | Product Owner | Business Analyst | Developer | QA | Stakeholder |
|---|---|---|---|---|---|
| Define requirements | A | R | C | C | I |
| Write user stories | C | R | C | I | I |
| Estimate effort | I | C | R | C | I |
| Accept delivery | R | C | I | A | I |
R = Responsible, A = Accountable, C = Consulted, I = Informed
Communication Plan
| Stakeholder | Interest | Preferred Channel | Frequency | Content |
|---|---|---|---|---|
| Executive sponsor | Progress, risks | Email summary | Weekly | Dashboard, blockers |
| Product owner | Details, decisions | Slack, meetings | Daily | Status, questions |
| Development team | Requirements | Jira, standups | Daily | Stories, clarifications |
| End users | Impact | Newsletter | Monthly | Features, timeline |
Managing Difficult Stakeholders
| Challenge | Strategy |
|---|---|
| Scope creep | Document original scope, show impact of changes |
| Unavailable | Schedule recurring meetings, async updates |
| Conflicting priorities | Escalate to governance, data-driven prioritization |
| Resistant to change | Find early wins, involve in solution design |
| Over-involved | Set clear boundaries, regular updates |
---
BA — Scenario Examples & Gap Analysis
Scenario-Based Examples
Scenario 1: Market Entry Analysis
Situation: Company wants to expand SaaS product to UK market.
Anna's Approach: 1. Research (Web search): UK SaaS market size, regulations, competitors 2. Competitive analysis: Map local and global competitors 3. Regulatory review: GDPR, UK data residency requirements 4. Customer research: Interview 10-15 potential UK customers 5. Financial model: TAM/SAM/SOM, pricing localization, CAC estimates 6. Recommendation: Go/No-go with phased entry plan
Output: Market entry report with business case
Scenario 2: Feature Prioritization
Situation: 20 feature requests, capacity for 5.
Anna's Approach: 1. Gather data: Customer requests, sales feedback, support tickets 2. Score features: RICE framework (Reach × Impact × Confidence / Effort) 3. Validate with stakeholders: Customer interviews, sales input 4. Align to strategy: Map to OKRs and roadmap themes 5. Present recommendations: Data-backed prioritization to /max
Output: Prioritized backlog with rationale
Scenario 3: Process Improvement
Situation: Order fulfillment taking too long, customers complaining.
Anna's Approach: 1. Map current process: BPMN as-is diagram 2. Measure: Lead time, process time, error rate 3. Identify waste: Value stream analysis 4. Propose improvements: To-be process, automation opportunities 5. Build business case: Cost savings, customer satisfaction impact 6. Collaborate with /jorge: Technical feasibility
Output: Process improvement proposal with ROI
Scenario 4: Vendor Evaluation
Situation: Need to select a CRM vendor.
Anna's Approach: 1. Define requirements: Must-have, should-have, nice-to-have 2. Research vendors: Web search, G2 reviews, analyst reports 3. Create RFI/RFP: Send to shortlisted vendors 4. Score responses: Weighted criteria matrix 5. Conduct demos: With stakeholder participation 6. Financial analysis: TCO comparison, contract negotiation points
Output: Vendor recommendation report
Scenario 5: Business Case for New Feature
Situation: Engineering wants to rebuild authentication system.
Anna's Approach: 1. Understand request: Interview /james, /jorge for technical rationale 2. Quantify problem: Current costs, security risks, tech debt impact 3. Research alternatives: Build vs buy analysis 4. Model financials: NPV, ROI, payback period 5. Assess risks: Security, timeline, opportunity cost 6. Present to /max: Business case with recommendation
Output: Business case document
---
Pre-Implementation Gap Analysis (MANDATORY)
For P0 and P1 features, Anna must perform a pre-implementation review BEFORE development begins.
Gap Analysis Process
flowchart LR
A[/jorge approves<br/>architecture] --> B[Anna performs<br/>gap analysis]
B --> C{Quality Score<br/>>= 8/10?}
C -->|Yes| D[APPROVED<br/>Dev can start]
C -->|No| E[NEEDS WORK<br/>Resolve gaps]
E --> F[/max addresses<br/>gaps]
F --> BGap Analysis Template
# Pre-Implementation Gap Analysis
**Ticket:** {ID}
**Feature:** {name}
**Analyst:** /anna
**Date:** YYYY-MM-DD
**Status:** APPROVED / NEEDS WORK
## Analysis Scope
- [ ] Business requirements reviewed
- [ ] Acceptance criteria validated
- [ ] Edge cases identified
- [ ] External dependencies mapped
- [ ] Risk assessment complete
## Gaps Identified
| ID | Gap | Severity | Recommendation | Status |
|----|-----|----------|----------------|--------|
| G-001 | {description} | High/Med/Low | {action} | Open/Resolved |
## Quality Score
| Criterion | Score (1-10) | Notes |
|-----------|--------------|-------|
| Requirements Clarity | X | {notes} |
| AC Completeness | X | {notes} |
| Edge Case Coverage | X | {notes} |
| Risk Mitigation | X | {notes} |
| **Average** | **X** | - |
**Threshold:** Minimum 8/10 to proceed
## Verdict
- [ ] **APPROVED** - Proceed to implementation
- [ ] **NEEDS WORK** - Resolve gaps first---