Quick Start Guide

1

Explore Your Dashboard

Understand your training load divergence analysis and key metrics

📈 Training load trends
⚠️ Injury risk alerts
🎯 Performance insights
Explore Dashboard
2

Personalize Your Settings

Customize your training analysis with personalized settings and preferences

❤️ Heart rate zones
⚖️ ACWR thresholds
🎯 Training goals
👨‍🏫 Coaching style
Configure Settings
3

Empower AI

Unlock AI-powered insights through subjective input and intelligent analysis

📝 Subjective input
📋 Training notes
🔍 Daily review of training success
Open Journal

Comprehensive Learning Resources

Master every aspect of Your Training Monkey with our detailed tutorials and guides.

🎯 Getting Started

Learn the basics of connecting Strava and understanding your first analysis.

Getting Started Guide Frequently Asked Questions Dashboard Overview

📊 Dashboard & Analysis

Master your training load dashboard and divergence analysis.

Dashboard Tour Understanding Divergence ACWR Explained Configure Settings

🎯 Goals & Recommendations

Set training goals and understand AI-powered recommendations.

Goals Setup Journal & Tracking AI Recommendations Guide Training Optimization

🛡️ Injury Prevention

Learn how to use divergence analysis to prevent injuries and overtraining.

Injury Prevention Guide Recognizing Overtraining Recovery Optimization

📱 Advanced Features

Explore advanced features and customization options.

Data Export & Analysis Custom Metrics Third-party Integrations

❓ Troubleshooting

Common issues and how to resolve them.

Sync Issues Data Accuracy Performance Tips
View All Tutorials FAQs Go to Dashboard

Expert Tips & Best Practices

How often should I check my training analysis? +

We recommend checking your analysis weekly to track trends and make adjustments to your training plan. The dashboard updates automatically as new activities are synced from Strava.

What's the best way to interpret divergence alerts? +

Positive divergence means your external load is higher than internal stress (good fitness adaptation). Negative divergence indicates potential overtraining risk and suggests reducing training intensity or taking additional recovery time.

How can I optimize my training based on AI recommendations? +

AI recommendations are based on your historical data patterns. Use them as guidance, but always listen to your body. Combine the data insights with your personal experience and consult with a coach for personalized training advice.

What should I do if I see consistent negative divergence? +

Consistent negative divergence suggests your body is under more stress than your training load indicates. Consider reducing training volume, increasing recovery time, checking sleep quality, and monitoring nutrition and hydration.

How do I set realistic training goals? +

Set goals based on your current fitness level and available training time. Use the dashboard to track progress and adjust goals as needed. Focus on consistency over intensity, especially when building your training base.