Resources
- SCRUM Guide
  - Introduction to Scrum
  - Scrum Roles
  - Scrum Artifacts
  - Scrum Events
  - Scrum Flow
  - Implementing Scrum
  - Best Practices and Tips
  - Common Challenges and Solutions
- Agile Estimation Guide
  - Introduction to Agile Estimation
  - Agile Estimation Techniques
  - Factors Affecting Estimation
  - Agile Estimation Process
  - Using Estimations for Planning
  - Challenges and Solutions
  - Best Practices for Effective Estimation
  - Continuous Improvement and Adaptation
- Product Management
  - Introduction to Product Management
  - Product Lifecycle and Frameworks
  - Market Research and Customer Insights
  - Idea Generation and Validation
  - Roadmapping and Strategy
  - Cross-Functional Collaboration
  - Product Metrics and KPIs
  - Product Launch and Marketing
  - Feedback Management and Iteration
  - Scaling and Product Growth
  - Product Management in Different Industries
  - Ethical Considerations in Product Management
  - Challenges and Problem-Solving
  - Professional Development in Product Management
- Scaling Agile
  - Introduction to Scaling Agile
  - Foundations of Agile Scaling
  - Popular Agile Scaling Frameworks
  - Choosing the Right Framework
  - Leadership and Culture in Scaling Agile
  - Structuring Agile Teams
  - Coordinating Work Across Teams
  - Product Backlog and Release Planning
  - Scaling Agile Practices
  - Metrics and Performance Measurement
  - Addressing Challenges in Scaling Agile
  - Evolving Agile Maturity
  - Agile Project Charter

Product Metrics and KPIs

Identifying Key Performance Indicators (KPIs)
Selecting the right KPIs helps measure product success, user engagement, and alignment with business goals.

Metrics for Product Success and Growth
Metrics like conversion rates, user retention, and customer satisfaction gauge the health and growth of the product.

Analyzing User Engagement and Retention
Understanding how users engage with the product and identifying reasons for retention or churn informs improvement strategies.

Iterative Improvement through Data Analysis
Data-driven decision-making involves analyzing metrics, user behavior, and feedback to iterate and enhance the product.

Next: Product Launch and Marketing