API Analytics for Product Managers

Module 1: Introduction to API Analytics

⏳ 1 week

• Topics: API ecosystem, developer portals, analytics importance

• Hands-on: Map out your product’s API landscape and stakeholder needs

Module 2: Key API Metrics & Instrumentation

⏳ 1 week

• Topics: Throughput, latency, error rates, adoption, churn metrics

• Hands-on: Instrument a sample API with logging to capture essential metrics

Module 3: Data Collection & ETL for APIs

⏳ 1 week

• Topics: Log aggregation, event pipelines, data warehousing concepts

• Hands-on: Build an ETL workflow to ingest API logs into a BI-ready store

Module 4: Dashboarding & Visualization

⏳ 1 week

• Topics: Dashboard design principles, tooling (e.g. Grafana, Tableau)

• Hands-on: Create an API health dashboard displaying real-time KPIs

Module 5: Behavioral & Cohort Analysis

⏳ 1 week

• Topics: Developer segmentation, feature usage patterns, retention curves

• Hands-on: Perform cohort analysis on API adoption over time

Module 6: Experimentation & Growth Strategies

⏳ 1 week

• Topics: A/B testing for API features, rate limit experiments, feedback loops

• Hands-on: Design and analyze an A/B test for a new API version

Module 7: Advanced Analytics & Predictive Insights

⏳ 1 week

• Topics: Anomaly detection, capacity forecasting, usage trend modeling

• Hands-on: Implement a simple threshold-based alerting system for anomalies

Module 8: Product Roadmapping & Communication

⏳ 1 week

• Topics: Translating analytics into product strategy, stakeholder presentations

• Hands-on: Prepare a product roadmap slide deck based on API analytics findings

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