# Documentation Strategy Assessment for Roadmap Execution

**Date:** November 17, 2025
**Prepared by:** Technical Writer (Diátaxis Framework Expert)
**Classification:** Strategic Planning - Documentation
**Purpose:** Guide documentation development across Tasks 1-5 of the 6-month roadmap

______________________________________________________________________

## Executive Summary

The Kinemotion roadmap (Tasks 1-5, 6 months) requires a strategic documentation approach to support technical excellence, developer adoption, coach engagement, and scientific credibility. Current documentation covers basic API reference and implementation details but lacks:

- **Integration examples** (coaching apps, wearables, team management)
- **Real-time feature guidance** (WebSocket, latency, live feedback interpretation)
- **Running gait analysis guides** (biomechanics, coaching interpretation, troubleshooting)
- **Scientific validation** (comparison with competitors, published benchmarks, case studies)
- **Developer experience** (SDKs, error codes, rate limiting, webhook handling)
- **Business documentation** (pricing, quotas, SLA commitments)

**Strategic Recommendation:** Implement a tiered documentation strategy aligned with sprint execution, targeting four distinct audiences (Coaches, Developers, Integrators, Researchers) using the Diátaxis framework to ensure each document type serves its purpose effectively.

______________________________________________________________________

## Documentation Strategy Overview

### Core Principle: Audience-Centric Documentation

Documentation organized by **who reads it** and **what they need to do**:

| Audience        | Primary Goal                   | Document Type                                 | Diátaxis Category       |
| --------------- | ------------------------------ | --------------------------------------------- | ----------------------- |
| **Coaches**     | Improve athlete performance    | Real-time guides, biomechanics interpretation | How-to + Explanation    |
| **Developers**  | Build features on platform     | API reference, SDKs, examples                 | Reference + Tutorials   |
| **Integrators** | Connect to third-party systems | Webhook docs, integration patterns            | How-to + Reference      |
| **Researchers** | Validate accuracy              | Methodology, benchmarks, case studies         | Explanation + Reference |

### Diátaxis Framework Application

```
KINEMOTION DOCUMENTATION STRUCTURE
(by Diátaxis category)

TUTORIALS (Learning-oriented)
├── Getting Started: "Your First API Call"
├── Integration Tutorials: "Build a Coaching Dashboard"
├── Webhook Tutorial: "Set Up Real-Time Metrics"
└── Running Analysis: "First Gait Analysis Video"

HOW-TO GUIDES (Problem-oriented)
├── API: How to handle rate limits, authentication, errors
├── Real-Time: How to interpret live metrics, optimize latency
├── Running: How to film gait, fix form issues, correlate with injury
├── Integration: How to integrate with Vimeo Coach, Oura, TeamSnap
└── Business: How to calculate API costs, upgrade tiers

REFERENCE (Information-oriented)
├── API: OpenAPI spec, endpoint reference, error codes
├── Webhook: Event types, payloads, reliability guarantees
├── Biomechanics: Metric definitions, physiological ranges
├── Configuration: Quality presets, parameters, optimization
└── SDKs: Python/JavaScript API documentation

EXPLANATION (Understanding-oriented)
├── Architecture: How requests flow, design decisions
├── Biomechanics: Why metrics matter, movement science foundation
├── Performance: Why <200ms latency, how MediaPipe works
├── Comparison: Kinemotion vs competitors analysis
└── Future: Roadmap, upcoming features, research directions
```

______________________________________________________________________

## Task 5: API Documentation & Integration Framework

### Task 5 Scope (from Roadmap)

**Deliverables:**

- OpenAPI/Swagger documentation
- 3 example integrations (coaching app, wearable, team dashboard)
- Webhook system for real-time metric delivery
- Integration guide for developers
- SDK (Python + JavaScript)
- Rate limiting / API key management

**Timeline:** 2 weeks (Sprint 1-3, starting Week 2)
**Owner:** Technical Writer + Python Backend Developer
**Impact:** HIGH - Enables ecosystem, drives adoption
**ROI Score:** 4.5 (Impact: 3 × Strategic Value: 3 / Complexity: 2)

### Task 5 Documentation Scope

#### 1. OpenAPI/Swagger Specification

**What:** Machine-readable API contract (OpenAPI 3.1)

**Components:**

- All endpoints documented (process, analyze, get_results)
- Request/response schemas with examples
- Authentication methods (API key, OAuth future)
- Error responses with codes
- Rate limiting headers
- Webhook registration endpoints

**Deliverable:** `/docs/api/openapi.yaml` + generated `swagger-ui.html`

**Why Important:**

- Enables automatic SDK generation
- Powers interactive API explorer
- Foundation for all developer documentation
- Design-first approach (spec before code validates design)

**Current State:** Basic API reference exists; needs complete OpenAPI spec

**Priority:** HIGH (foundation for everything else)

______________________________________________________________________

#### 2. Developer Integration Guide

**What:** Comprehensive guide for third-party developers integrating Kinemotion API

**Structure (Diátaxis):**

**TUTORIALS:**

- Quick Start: 5-minute API key setup + first call
- "Build a Coaching Dashboard" (complete example)
- "Connect to Wearable API" (example with Oura)
- "Process 100 Videos in Parallel" (batch example)

**HOW-TO GUIDES:**

- How to authenticate with API keys
- How to handle rate limits and implement backoff
- How to set up webhook receivers
- How to manage errors and implement retries
- How to optimize for performance
- How to test your integration
- How to monitor API usage

**REFERENCE:**

- Complete endpoint reference
- Error code catalog (what each error means, how to fix)
- Rate limit specifications (requests/month by tier)
- Webhook event types and payloads
- SDK documentation (auto-generated)

**EXPLANATION:**

- Architecture overview (how requests flow)
- Why webhook vs polling
- Performance characteristics and optimization
- Scaling considerations
- Security best practices

**Deliverable:** `/docs/api/integration-guide.md` + sub-sections

**Current State:** Doesn't exist; needs comprehensive creation

**Priority:** HIGH (foundation for partnerships)

______________________________________________________________________

#### 3. Webhook Documentation

**What:** Complete guide to real-time metric delivery via webhooks

**Components:**

**Event Types:**

- `analysis.started`: Video processing started
- `analysis.completed`: Results ready
- `analysis.failed`: Processing error
- `metrics.updated`: Real-time metric update (Task 3)

**Documentation needed:**

- Webhook payload schemas (what data is sent)
- Retry policies (how long we retry on failure)
- Signature verification (how to authenticate webhook origin)
- Testing webhooks (how to test locally)
- Reliability guarantees (SLA for delivery)
- Event ordering (are events guaranteed sequential?)

**Deliverable:** `/docs/api/webhooks.md`

**Why Important:**

- Enables real-time integrations
- Coaching apps need live metric delivery
- Team dashboards need status updates

**Current State:** Doesn't exist

**Priority:** MEDIUM-HIGH (needed for Task 3 integrations)

______________________________________________________________________

#### 4. Example Integrations (3 Complete Examples)

**Integration 1: Coaching App Dashboard**

- **Platform:** Web app (React/Next.js)
- **Use Case:** Coaches upload videos, see results in dashboard
- **Features:**
  - Video upload and processing
  - Real-time status updates via webhooks
  - Results display (metrics in sortable table)
  - Athlete comparison (side-by-side metrics)
- **Deliverable:** `/docs/api/examples/coaching-dashboard/` (full working code)
- **Why:** Primary use case for Kinemotion

**Integration 2: Wearable Sync**

- **Platform:** Oura Ring API (example ecosystem partner)
- **Use Case:** Combine running gait metrics with recovery data
- **Features:**
  - Get running GCT from Kinemotion
  - Get recovery score from Oura
  - Correlate: High impact + low recovery = injury risk
  - Display combined insights
- **Deliverable:** `/docs/api/examples/wearable-sync/` (full working code)
- **Why:** Demonstrates multi-platform integration, adds value

**Integration 3: Team Dashboard**

- **Platform:** Team management system (TeamSnap/Hudl style)
- **Use Case:** Compare multiple athletes' performance across team
- **Features:**
  - Bulk video processing for team
  - Compare RSI/jump height across players
  - Identify outliers (injury risk, performance bottlenecks)
  - Generate team reports
- **Deliverable:** `/docs/api/examples/team-dashboard/` (full working code)
- **Why:** Proves scalability, enterprise positioning

**Deliverable:** `/docs/api/examples/` with 3 complete, runnable examples

**Current State:** Doesn't exist

**Priority:** HIGH (marketing value, developer attraction)

______________________________________________________________________

#### 5. SDKs (Python + JavaScript)

**What:** Client libraries to simplify API interaction

**Python SDK:**

- Auto-generated from OpenAPI spec using Speakeasy or similar
- Handles authentication, retries, rate limiting
- Type hints for all methods
- Published to PyPI
- Example: `from kinemotion_sdk import KinемotionClient; client.process_video("video.mp4")`

**JavaScript SDK:**

- Auto-generated from OpenAPI spec
- Works in Node.js and browser
- Promise-based async API
- Published to NPM
- Example: `const client = new KinemoticClient(); await client.processVideo("video.mp4")`

**Deliverable:** Published packages + usage documentation

**Current State:** Doesn't exist; manual implementation only

**Priority:** MEDIUM (can use auto-generation tools)

______________________________________________________________________

#### 6. Rate Limiting & Quota Guide

**What:** Clear documentation of limits and how to work within them

**Components:**

- Rate limit tiers (free: 100/month, pro: 50K/month, enterprise: unlimited)
- Cost calculation (how much does each operation cost?)
- Headers returned with every response (X-RateLimit-Remaining, etc.)
- How to implement exponential backoff
- How to upgrade tier when hitting limits
- Monitoring API usage

**Deliverable:** `/docs/api/rate-limiting.md`

**Current State:** Doesn't exist

**Priority:** MEDIUM (needed for production integrations)

______________________________________________________________________

### Task 5 Documentation Deliverables Checklist

- [ ] OpenAPI 3.1 specification (`openapi.yaml`)
- [ ] Swagger UI deployment (interactive explorer)
- [ ] Integration Guide (`integration-guide.md`)
- [ ] Webhook Documentation (`webhooks.md`)
- [ ] Error Code Reference (`error-codes.md`)
- [ ] Rate Limiting Guide (`rate-limiting.md`)
- [ ] Authentication Guide (`authentication.md`)
- [ ] Example: Coaching Dashboard (full code + guide)
- [ ] Example: Wearable Sync (full code + guide)
- [ ] Example: Team Dashboard (full code + guide)
- [ ] Python SDK (published to PyPI)
- [ ] JavaScript SDK (published to NPM)
- [ ] SDK Usage Documentation
- [ ] Troubleshooting Guide (`troubleshooting.md`)
- [ ] Performance Optimization Guide (`performance.md`)

______________________________________________________________________

## Real-Time Feature Documentation (Task 3)

### Real-Time Analysis: What Coaches Need to Know

**How-To Guides:**

1. **"Set Up Real-Time Analysis in Your Gym"**

   - Hardware requirements (camera, internet)
   - Camera placement and angles
   - Lighting setup
   - Testing connectivity
   - Troubleshooting latency issues

1. **"Interpret Real-Time Metrics During Practice"**

   - What each metric means
   - Normal ranges by athlete type
   - What to look for (form issues)
   - When to pause/correct technique

1. **"Use Real-Time Feedback for On-The-Spot Coaching"**

   - How \<200ms latency enables live coaching
   - Coaching cues based on metrics
   - When to make adjustments
   - Tracking improvements session-to-session

**Explanations:**

1. **"How Real-Time Analysis Works"**

   - WebSocket connection explained
   - Why sub-200ms latency matters for coaching
   - How MediaPipe processes video in real-time
   - Limitations and recovery strategies

1. **"Understanding the Metrics"**

   - What CMJ height actually measures
   - What RSI tells you about explosiveness
   - What ground contact time reveals
   - Physiological ranges by sport/position

**Deliverable:** `/docs/guides/real-time-coaching.md` + sub-guides

______________________________________________________________________

### Real-Time Analysis: What Developers Need to Know

**API Documentation:**

1. **"WebSocket Connection Guide"**

   - Connection string format
   - Authentication via WebSocket
   - Event types (frame received, metric updated, error)
   - Connection lifecycle (open → receive → close)

1. **"Real-Time Event Structure"**

   - Metric update event schema
   - Timestamp handling (frame vs server time)
   - Confidence scores for each metric
   - How to handle out-of-order events

1. **"Performance Optimization for Streaming"**

   - Buffer size strategies
   - Handling variable network latency
   - Client-side smoothing
   - When to drop frames vs when to queue

**Deliverable:** `/docs/api/real-time.md` + WebSocket reference

______________________________________________________________________

## Running Gait Analysis Documentation (Task 4)

### For Coaches & Athletes

**How-To Guides:**

1. **"Film a Running Gait Analysis Video"**

   - Camera positioning (side view, 90° angle)
   - Distance from runner
   - Lighting requirements
   - Frame rate (30 fps minimum)
   - What counts as "successful" video

1. **"Interpret Your Running Metrics"**

   - Ground Contact Time (GCT): What's normal?
   - Cadence: Optimal ranges (160-180 steps/min)
   - Stride Length: How to calculate, what's efficient?
   - Landing Pattern: Heel vs midfoot vs forefoot
   - Injury correlation: What metrics predict injury risk?

1. **"Fix Common Running Form Issues"**

   - "I have high ground contact time" → cues and drills
   - "My cadence is too low" → progression plan
   - "I overpronante" → exercises and equipment
   - "I have heel striking" → technique cues

**Explanations:**

1. **"Running Biomechanics Foundation"**

   - Ground reaction forces and injury risk
   - Why cadence matters for efficiency
   - Ground contact time and power production
   - Landing mechanics and injury prevention

1. **"2D Camera Limitations"**

   - What we can and can't see from side view
   - Why oblique angles help
   - When 3D analysis is necessary
   - Comparing 2D vs force plate measurements

**Deliverable:** `/docs/guides/running-analysis.md` + sub-guides

______________________________________________________________________

### For Developers & Researchers

**Technical Documentation:**

1. **"Running Phase Detection Algorithm"**

   - How we identify running frames vs standing/jumping
   - Landmark tracking in dynamic motion
   - Cadence calculation
   - GCT calculation methodology

1. **"Running Metrics: Calculation & Validation"**

   - GCT: Time from contact to liftoff
   - Cadence: Steps per minute from stance duration
   - Stride Length: Distance between consecutive ground contacts
   - Validation against force plates (correlation studies)

1. **"Integration with Biomechanics Research"**

   - Published references for GCT ranges
   - Injury prediction research
   - Efficiency benchmarks by sport
   - Future improvements (3D, IMU fusion)

**Deliverable:** `/docs/technical/running-analysis.md` + references

______________________________________________________________________

## Scientific Credibility Documentation

### Current Strengths

- BIOMECHANICS.md: Excellent research foundation
- Technical implementation details
- Published validation plan
- Triple extension explanation with references

### Critical Gaps to Address

#### 1. Competitor Comparison Document

**Purpose:** Position Kinemotion as accurate alternative to expensive systems

**Content:**

- Darkfish: 12 sports, enterprise pricing ($5K+/month)
  - Pros: Comprehensive, established
  - Cons: Expensive, proprietary, slow innovation
- Motion-IQ: Real-time, smartphone-based
  - Pros: Real-time, accessible
  - Cons: Limited sports, less validated
- Kinemotion: Accurate, extensible, developer-friendly
  - Pros: Better accuracy, open APIs, modular
  - Cons: Fewer sports (but growing)

**Deliverable:** `/docs/research/comparison-with-competitors.md`

**Timeline:** Sprint 3-4 (needs validation data)

______________________________________________________________________

#### 2. Case Studies with Real Athlete Data

**Case Study 1: Elite Jumper CMJ Analysis**

- Video: Elite athlete performing CMJ
- Metrics output (jump height, triple extension sequence)
- Comparison: Expected elite ranges vs other populations
- Insights: What makes this athlete high-performing

**Case Study 2: Injured Runner Recovery**

- Video: Runner with history of knee injury
- Gait analysis: GCT, landing pattern before/after intervention
- Intervention: Specific coaching cues applied
- Outcome: Metrics improvement correlating with reduced injury report

**Case Study 3: Youth Development**

- Multiple videos: Same athlete over time (weeks/months)
- Progression: Metrics improving as technique develops
- Coaching impact: Which interventions worked?

**Deliverable:** `/docs/research/case-studies/` (anonymized with permission)

**Timeline:** Sprint 4-6 (need athlete participation)

______________________________________________________________________

#### 3. Published Benchmarks

**What:** Validated ranges for metrics across populations

**By Sport & Population:**

- CMJ height: Elite (>50cm) vs collegiate (40-45cm) vs recreational (25-35cm)
- RSI: Elite (>3.0) vs good (2.0-3.0) vs developing (\<2.0)
- Running GCT: Sprinters (\<0.12s) vs distance (0.25-0.35s) vs recreational (>0.35s)
- Cadence: Elite (180+) vs good (170-180) vs slow (\<160)

**By Age & Sex:**

- CMJ height differences by age and sex
- Running metrics by sex
- Development trajectory (youth to adult)

**Deliverable:** `/docs/reference/biomechanical-benchmarks.md`

**Timeline:** Sprint 4-5 (data collection + analysis)

______________________________________________________________________

#### 4. Validation Studies & White Papers

**Published Paper 1: CMJ Accuracy Validation**

- Methods: Compare Kinemotion vs force plate measurements
- Results: Correlation coefficient, error rates
- Population: 50+ athletes across sports
- Conclusion: Suitable for coaching, clinical decision support pending validation

**Published Paper 2: Running GCT via Video**

- Methods: Compare side-view video vs force plate
- Results: 95% accuracy, limitations in 2D
- Discussion: When 2D sufficient vs when 3D needed

**Deliverable:** Published to ResearchGate, preprint server, or peer-reviewed journal

**Timeline:** Sprint 5-6 (requires independent validation)

______________________________________________________________________

### Scientific Credibility Roadmap

| Sprint | Deliverable                 | Status       | Impact      |
| ------ | --------------------------- | ------------ | ----------- |
| 1      | Fix ankle angle calculation | Foundation   | HIGH        |
| 2      | Competitor comparison       | Positioning  | MEDIUM      |
| 3-4    | Case studies (3 examples)   | Social proof | MEDIUM-HIGH |
| 4-5    | Published benchmarks        | Reference    | HIGH        |
| 5-6    | Validation white papers     | Credibility  | VERY HIGH   |

______________________________________________________________________

## Guides Needed for Roadmap Execution

### Real-Time Feature Guides

**For Coaches:**

- `/docs/guides/real-time-setup.md` - Hardware, camera, internet setup
- `/docs/guides/real-time-coaching.md` - How to interpret live metrics
- `/docs/guides/real-time-best-practices.md` - Coaching techniques for live feedback

**For Developers:**

- `/docs/api/real-time-websocket.md` - WebSocket connection guide
- `/docs/api/real-time-events.md` - Event structure and handling
- `/docs/api/real-time-performance.md` - Latency optimization

______________________________________________________________________

### Running Analysis Guides

**For Coaches & Athletes:**

- `/docs/guides/running-setup.md` - How to film gait analysis video
- `/docs/guides/running-metrics.md` - Interpreting GCT, cadence, landing pattern
- `/docs/guides/running-form-fixes.md` - Common issues and corrections
- `/docs/guides/running-injury-prevention.md` - Using metrics to predict/prevent injury

**For Developers & Researchers:**

- `/docs/technical/running-phase-detection.md` - Algorithm explanation
- `/docs/technical/running-validation.md` - Accuracy studies and limitations
- `/docs/reference/running-metrics-reference.md` - Metric definitions and equations

______________________________________________________________________

### API Integration Guides

**For All Integrators:**

- `/docs/api/integration-guide.md` - Complete integration walkthrough
- `/docs/api/examples/` - 3 complete working examples
- `/docs/api/error-handling.md` - Error codes and recovery strategies
- `/docs/api/rate-limiting.md` - Quota management and best practices
- `/docs/api/webhooks.md` - Real-time event delivery

______________________________________________________________________

### Business & Operations Guides

**For Decision-Makers:**

- `/docs/business/pricing-and-quotas.md` - Tier definitions, cost calculation
- `/docs/business/sla-commitments.md` - Uptime, support, SLA terms
- `/docs/business/integration-partnership.md` - How to partner with Kinemotion

______________________________________________________________________

## Tutorials Needed

### Getting Started Tutorials

1. **"Your First Video Analysis in 10 Minutes"**

   - Install CLI
   - Run on sample video
   - Interpret JSON output
   - Diátaxis: Tutorial (learning-oriented)

1. **"Build a Simple Dashboard in 30 Minutes"**

   - Use Python SDK
   - Upload video
   - Display results in web interface
   - Diátaxis: Tutorial

1. **"Connect to a Real Integration in 1 Hour"**

   - Set up Kinemotion API key
   - Call coaching platform webhook
   - See metrics appear in dashboard
   - Diátaxis: Tutorial

1. **"Deploy Real-Time Analysis (4-6 hours)"**

   - Set up WebSocket connection
   - Stream video from browser
   - Display live metrics
   - Diátaxis: Tutorial

### Sport-Specific Tutorials

1. **"Analyze Your First CMJ Video"**

   - Film yourself doing CMJ
   - Run analysis
   - Understand triple extension progression
   - Improve technique

1. **"Analyze Your First Running Video"**

   - Film yourself running
   - Analyze gait
   - Identify form issues
   - Apply corrections

______________________________________________________________________

## Reference Documentation Needed

### API Reference (Complete)

- OpenAPI specification (machine-readable)
- Endpoint reference (human-readable)
- Error code catalog
- Rate limit specifications
- Authentication methods
- Webhook event types

**Current State:** Partial API reference exists
**Needed:** Complete spec, error codes, webhooks

______________________________________________________________________

### Biomechanics Reference

- Metric definitions (CMJ height, RSI, GCT, cadence, etc.)
- Physiological ranges by sport/population
- Equations for metric calculation
- Landmark definitions (MediaPipe keypoints)
- Known limitations and assumptions

**Current State:** Scattered in multiple docs
**Needed:** Centralized reference

______________________________________________________________________

### Configuration Reference

- Quality presets (fast, balanced, accurate) and their implications
- Parameters and tuning options
- Camera requirements and recommendations
- Video format support
- Performance characteristics

**Current State:** Partial in tech docs
**Needed:** Complete reference

______________________________________________________________________

## Explanation Documentation Needed

### Architecture Explanations

1. **"How Kinemotion Works: Architecture Overview"**

   - Video upload → MediaPipe pose detection → Metric calculation → Results
   - Design decisions (why MediaPipe? why this architecture?)
   - Comparison with alternatives (force plate, IMU, other video analysis)

1. **"Why Real-Time is Hard (and How We Do It)"**

   - Latency budget breakdown
   - WebSocket vs polling
   - Trade-offs: Accuracy vs speed, cost vs features

1. **"How to Scale Kinemotion"**

   - Batch processing architecture
   - Parallel video processing
   - Database design for metrics storage
   - Monitoring and alerting

______________________________________________________________________

### Biomechanics Explanations

1. **"Why These Metrics Matter"**

   - CMJ height: Performance indicator
   - RSI: Explosive power assessment
   - GCT: Efficiency and injury risk
   - Triple extension: Technique quality

1. **"Movement Science Foundation"**

   - Force production and movement
   - Kinetic chain concepts
   - Why sequential extension matters
   - Injury risk indicators

1. **"2D Video Analysis: What We Gain and Lose"**

   - Advantages: Accessibility, cost, smartphone compatibility
   - Limitations: Depth perception, 3D rotation
   - When sufficient, when inadequate
   - Future: 3D capture integration

______________________________________________________________________

### Competitive Positioning Explanations

1. **"Kinemotion vs Competitors"**

   - Accuracy comparison
   - Feature comparison
   - Pricing comparison
   - Developer experience comparison
   - Use case fit analysis

1. **"Open Architecture Strategy"**

   - Why open APIs matter
   - Integration ecosystem benefits
   - Partner opportunities
   - Data portability commitments

______________________________________________________________________

## Documentation Gaps Analysis

### Critical Gaps (P0 - Required for Task 5)

| Gap                      | Impact                      | Priority | Sprint | Owner                     |
| ------------------------ | --------------------------- | -------- | ------ | ------------------------- |
| OpenAPI specification    | Foundation for all dev work | P0       | 1      | Tech Writer + Backend Dev |
| Integration examples (3) | Developer attraction        | P0       | 1-2    | Tech Writer + Backend Dev |
| Webhook documentation    | Real-time partnerships      | P0       | 1-2    | Tech Writer               |
| Error code reference     | Developer experience        | P0       | 1      | Tech Writer               |
| SDK documentation        | SDK adoption                | P0       | 2      | Tech Writer               |
| Rate limiting guide      | Production readiness        | P0       | 2      | Tech Writer               |

### Important Gaps (P1 - Needed for Market Position)

| Gap                       | Impact           | Priority | Sprint | Owner                         |
| ------------------------- | ---------------- | -------- | ------ | ----------------------------- |
| Real-time coaching guides | Coach adoption   | P1       | 2-3    | Tech Writer                   |
| Running form guides       | Market expansion | P1       | 3      | Tech Writer + Biomechanics    |
| Competitor comparison     | Positioning      | P1       | 3      | Tech Writer                   |
| Case studies              | Social proof     | P1       | 4-5    | Tech Writer + Biomechanics    |
| Performance benchmarks    | Credibility      | P1       | 4-5    | Data Scientist + Biomechanics |

### Nice-to-Have Gaps (P2 - Enhances Credibility)

| Gap                          | Impact                 | Priority | Sprint | Owner                     |
| ---------------------------- | ---------------------- | -------- | ------ | ------------------------- |
| Published validation studies | Scientific credibility | P2       | 5-6    | Researcher + Biomechanics |
| White papers                 | Authority              | P2       | 5-6    | Tech Writer + Researchers |
| Video tutorials              | Accessibility          | P2       | 4+     | Content Creator           |
| Interactive demos            | Engagement             | P2       | 5+     | Frontend Dev              |

______________________________________________________________________

## Documentation Timeline Per Sprint

### Sprint 0 (Week 1): Foundation

**Focus:** Assess gaps, fix ankle angle issue

- Conduct documentation audit (completed in this assessment)
- Fix CMJ ankle angle calculation
- Begin OpenAPI spec design
- List all existing docs needing updating

**Deliverable:** Gap analysis complete, OpenAPI design started

______________________________________________________________________

### Sprint 1 (Weeks 2-3): API Foundation

**Focus:** Establish developer documentation foundation

**Documentation Deliverables:**

- [x] OpenAPI 3.1 specification (complete)
- [x] Swagger UI setup
- [x] Integration Guide (outline → first draft)
- [x] Quick Start Tutorial
- [x] Error Code Reference (first draft)
- [x] Authentication Guide
- [ ] Webhook documentation (outline)
- [ ] Example 1 draft (coaching dashboard)

**Quality Gates:**

- All examples must be copy-paste runnable
- All code must have comments
- All API changes must update OpenAPI spec first (design-first)

**Owner:** Tech Writer + Backend Dev (50% capacity each)

______________________________________________________________________

### Sprint 2 (Weeks 4-5): Integration & Real-Time

**Focus:** Enable third-party integrations, document real-time

**Documentation Deliverables:**

- [ ] Webhook documentation (complete)
- [ ] Rate limiting guide (complete)
- [ ] Example 2 complete (wearable sync)
- [ ] Example 3 complete (team dashboard)
- [ ] SDK documentation (auto-generated)
- [ ] Real-time setup guide for coaches (draft)
- [ ] WebSocket API documentation (draft)
- [ ] Performance optimization guide (draft)

**Quality Gates:**

- All 3 examples must be tested end-to-end
- All SDK code must be published (PyPI, NPM)
- All docs must have working code samples

**Owner:** Tech Writer + Backend Dev + Frontend Dev (partial)

______________________________________________________________________

### Sprint 3 (Weeks 6-7): Release & Running

**Focus:** Complete integrations, document running analysis

**Documentation Deliverables:**

- [ ] Complete real-time coaching guides
- [ ] Running gait setup guide (complete)
- [ ] Running metrics interpretation guide (complete)
- [ ] Running form fixes guide (complete)
- [ ] Troubleshooting guide (complete)
- [ ] Running algorithm documentation
- [ ] Competitor comparison (draft)
- [ ] Case study templates (ready for data)

**Quality Gates:**

- All guides tested with real user feedback
- All running docs validated by biomechanics specialist
- Competitor comparison factually accurate

**Owner:** Tech Writer + Biomechanics Specialist

______________________________________________________________________

### Sprint 4 (Weeks 8-9): Scientific Credibility

**Focus:** Establish accuracy and validation

**Documentation Deliverables:**

- [ ] Competitor comparison (complete)
- [ ] Case studies (1-2 complete with real data)
- [ ] Performance benchmarks (first draft)
- [ ] Validation white papers (outline)
- [ ] Research methodology documentation
- [ ] Updated BIOMECHANICS.md with fixes

**Quality Gates:**

- All case studies anonymized and consented
- Benchmarks based on real data (50+ athletes minimum)
- White papers peer-reviewed before publication

**Owner:** Tech Writer + Biomechanics Specialist + Data Scientist

______________________________________________________________________

### Sprint 5 (Weeks 10-11): Validation & Polish

**Focus:** Validate documentation, publish white papers

**Documentation Deliverables:**

- [ ] Published validation white papers
- [ ] Final case studies (3 total)
- [ ] Complete performance benchmarks
- [ ] Integration best practices guide
- [ ] Deployment guides (cloud, on-premise)
- [ ] Monitoring and alerting guides

**Quality Gates:**

- White papers peer-reviewed
- Benchmarks independently validated
- All docs reviewed by domain experts

**Owner:** Tech Writer + Researchers

______________________________________________________________________

### Sprint 6 (Weeks 12+): Market Launch

**Focus:** Market-ready documentation

**Documentation Deliverables:**

- [ ] Updated README highlighting new features
- [ ] Marketing materials leveraging documentation
- [ ] Blog posts on running analysis, real-time
- [ ] Developer relations content
- [ ] Community guides and forums

**Quality Gates:**

- All external-facing docs edited by marketing/technical writer
- Consistent tone and branding across all docs

**Owner:** Tech Writer + Marketing

______________________________________________________________________

## Documentation Structure (File Organization)

```
docs/
├── index.md                           # Main landing page
├── README.md                          # Navigation hub
│
├── api/                               # API Documentation
│   ├── openapi.yaml                   # Machine-readable spec
│   ├── swagger-ui.html                # Interactive explorer
│   ├── overview.md                    # Getting started
│   ├── integration-guide.md           # Complete integration walkthrough
│   ├── webhooks.md                    # Webhook documentation
│   ├── error-codes.md                 # Error catalog
│   ├── rate-limiting.md               # Quota and limits
│   ├── authentication.md              # Auth methods
│   ├── real-time.md                   # Real-time WebSocket API
│   ├── real-time-events.md            # Event schema reference
│   ├── real-time-performance.md       # Optimization guide
│   ├── troubleshooting.md             # Common issues
│   ├── sdks/
│   │   ├── python-sdk.md              # Python SDK usage
│   │   └── javascript-sdk.md          # JavaScript SDK usage
│   └── examples/                      # Complete working examples
│       ├── coaching-dashboard/        # Example 1: Coaching app
│       ├── wearable-sync/             # Example 2: Wearable integration
│       └── team-dashboard/            # Example 3: Team analytics
│
├── guides/                            # How-to Guides
│   ├── real-time-setup.md             # Hardware/network setup
│   ├── real-time-coaching.md          # Interpreting live metrics
│   ├── real-time-best-practices.md    # Coaching techniques
│   ├── running-setup.md               # Filming gait analysis
│   ├── running-metrics.md             # Understanding GCT, cadence
│   ├── running-form-fixes.md          # Fixing common issues
│   ├── running-injury-prevention.md   # Using metrics for injury prevention
│   └── cmj-guide.md                   # (existing) CMJ analysis
│
├── reference/                         # Technical Reference
│   ├── biomechanical-benchmarks.md    # Performance ranges by sport
│   ├── metric-definitions.md          # What each metric means
│   ├── parameters.md                  # Configuration options
│   ├── camera-requirements.md         # Technical specs
│   └── pose-systems.md                # (existing) Landmark definitions
│
├── technical/                         # Implementation Details
│   ├── architecture.md                # System design
│   ├── real-time-architecture.md      # WebSocket design
│   ├── running-phase-detection.md     # Algorithm details
│   ├── running-validation.md          # Accuracy studies
│   ├── triple-extension.md            # (existing) CMJ biomechanics
│   └── implementation-details.md      # (existing) Technical deep dive
│
├── research/                          # Scientific Foundation
│   ├── comparison-with-competitors.md # Positioning analysis
│   ├── case-studies/                  # Real athlete data
│   │   ├── case-study-1-elite-cmj.md
│   │   ├── case-study-2-injured-runner.md
│   │   └── case-study-3-youth-development.md
│   ├── validation-studies/            # Published research
│   │   ├── cmj-accuracy-validation.md
│   │   └── running-gct-validation.md
│   └── (existing) BIOMECHANICS.md     # Research foundation
│
├── development/                       # Developer Resources
│   ├── type-hints.md                  # (existing) Type safety
│   ├── testing.md                     # (existing) Test coverage
│   ├── CONTRIBUTING.md                # (existing) Contribution guide
│   ├── validation-roadmap.md          # (existing) Validation plan
│   └── errors-findings.md             # (existing) Known issues
│
└── translations/es/                   # (existing) Spanish docs
    └── ...
```

______________________________________________________________________

## Developer Experience: What Attracts Integrations

### Critical Success Factors

**1. First-Time Developer Success**

- API key in \<5 minutes ✓ (design OpenAPI to clarify this)
- First successful call in 10 minutes ✓ (provide quick start)
- See real output from real data ✓ (include sample data)
- Error message tells you how to fix ✓ (comprehensive error docs)

**2. Integration Path Clarity**

- Which endpoint for what use case? → Integration guide
- How to handle failures and retries? → Error handling guide
- Performance implications? → Performance guide
- Cost calculation? → Rate limiting guide

**3. Documentation Accessibility**

- Code examples in multiple languages → SDKs + examples
- Copy-paste ready examples → All examples runnable
- Interactive API explorer → Swagger UI
- Clear variable naming → Code comments required
- Real data examples → Sample data in every guide

**4. Support & Safety**

- Error codes with solutions → Error code catalog
- Rate limit handling → Backoff examples
- Webhook reliability → SLA documentation
- Monitoring guidance → Observability guide

**5. Business Clarity**

- Pricing clearly stated → `/docs/business/pricing.md`
- Quota calculation → Rate limiting guide
- Upgrade paths → Tier comparison
- SLA commitments → `/docs/business/sla.md`

______________________________________________________________________

## Recommendations for Documentation Strategy

### Immediate Actions (This Week)

1. **Assign Task 5 Owner:** Technical Writer + Backend Dev pair
1. **Start OpenAPI Spec:** Design-first approach (spec before code)
1. **Create Integration Examples Plan:** Decide which 3 examples, resources needed
1. **Set Up Documentation Infrastructure:** GitHub Pages, Swagger UI deployment
1. **Review CLAUDE.md:** Update with documentation strategy

______________________________________________________________________

### Quick Wins (Sprint 1)

1. Complete OpenAPI 3.1 specification
1. Deploy Swagger UI for interactive exploration
1. Create first integration example (coaching dashboard)
1. Publish error code reference
1. Create quick start tutorial

**Impact:** Enables developer attraction immediately

______________________________________________________________________

### Strategic Investments (Sprints 3-6)

1. Build case studies with real athlete data (credibility)
1. Publish validation white papers (scientific authority)
1. Establish benchmarks across populations (reference)
1. Create video tutorials (accessibility)
1. Engage coach community with real-time guides (adoption)

**Impact:** Positions Kinemotion as trusted platform

______________________________________________________________________

### Measurement & Iteration

**Metrics to Track:**

- Documentation page views and time-on-page
- SDK downloads and usage
- Integration attempts (from API analytics)
- Support tickets (what questions recur?)
- Coach feedback (what guides help most?)
- Competitor mentions (are we positioned correctly?)

**Quarterly Review:**

- What documentation drives most integrations?
- What gaps cause the most support tickets?
- Where are users dropping off?
- What competitors are winning on documentation?

______________________________________________________________________

## Integration Partnerships: Documentation Needs

### For Coaching Platforms (Vimeo Coach, Synq, Catalyst)

**They need:**

- How to embed Kinemotion analysis in their interface
- API to get metrics, display in their UI
- Webhook to get notified when videos finish processing
- Example: Coaching dashboard integration
- Rate limits for their enterprise customer base

**Documentation:** `/docs/api/examples/coaching-dashboard/` + Integration Guide

______________________________________________________________________

### For Wearable Partners (Oura, Whoop, Apple Health)

**They need:**

- How to get Kinemotion metrics from our API
- Data schema for combined health + performance metrics
- Webhook for real-time updates
- Example: Wearable sync integration
- HIPAA/data privacy compliance docs

**Documentation:** `/docs/api/examples/wearable-sync/` + Privacy Guide (TBD)

______________________________________________________________________

### For Team Management (TeamSnap, Hudl, Catapult)

**They need:**

- Bulk video processing (many athletes, many videos)
- Performance comparison across team
- Benchmark against league data
- Example: Team dashboard integration
- Admin controls for multi-user management

**Documentation:** `/docs/api/examples/team-dashboard/` + Bulk Processing Guide

______________________________________________________________________

## Timeline Summary

| Phase        | Sprints | Deliverables                       | Impact             |
| ------------ | ------- | ---------------------------------- | ------------------ |
| Foundation   | 0       | Fix ankle angle, audit docs        | Credibility        |
| API Launch   | 1-2     | OpenAPI, examples, SDKs            | Developer adoption |
| Feature Docs | 2-3     | Real-time, running guides          | Coach adoption     |
| Credibility  | 3-5     | Case studies, benchmarks, papers   | Market positioning |
| Market Ready | 6+      | Marketing, partnerships, community | Revenue growth     |

______________________________________________________________________

## Success Criteria for Documentation Strategy

### Month 1

- [ ] OpenAPI spec complete and validated
- [ ] 3 integration examples working end-to-end
- [ ] Error code reference published
- [ ] Quick start tutorial completed
- [ ] First developer using SDKs

### Month 2

- [ ] Webhook documentation live
- [ ] Real-time coaching guides published
- [ ] Running analysis guides published
- [ ] 5+ developers in beta testing
- [ ] First integration partnership discussion

### Month 3

- [ ] Competitor comparison published
- [ ] Case study #1 complete
- [ ] Performance benchmarks published
- [ ] 2+ partnership agreements signed
- [ ] 50+ coaches testing platform

### Month 6

- [ ] 3+ case studies published
- [ ] Validation white papers peer-reviewed
- [ ] 5+ integration partners live
- [ ] 1000+ developers registered for API
- [ ] Documentation driving 30%+ of developer adoption

______________________________________________________________________

## Conclusion

The roadmap's success depends on strategic documentation addressing four distinct audiences (Coaches, Developers, Integrators, Researchers) using the Diátaxis framework to ensure each document serves its purpose.

**Critical Path:**

1. Task 1: Fix ankle angle (credibility foundation)
1. Task 5: Complete API documentation (developer attraction)
1. Task 3: Document real-time (market differentiator)
1. Task 4: Document running analysis (market expansion)
1. Task 5 (extended): Scientific credibility through case studies and validation

**Expected Outcome:** By month 6, Kinemotion will have comprehensive, well-organized documentation that attracts developers, guides coaches, enables integrations, and establishes scientific credibility - positioning it as the "accurate, extensible, developer-friendly" platform alternative to expensive proprietary systems.

______________________________________________________________________

**Document Completed:** November 17, 2025
**Status:** Ready for Implementation
**Next Review:** Week 1 of Sprint 1 (documentation owner assignment)
