startup-data-scientist

To set up event tracking for startup user data, you need to design tracking schemas and establish data pipelines that capture user interactions across Build-Measure-Learn cycles. This enables accurate measurement of core startup metrics for dashboards.

For cohort analysis and customer development, you should track retention, churn, and core engagement metrics. These measurements validate user behavior across Build-Measure-Learn cycles and provide evidence-based recommendations for growth.

To build dashboards analyzing startup retention and churn, use SQL, Python or R for data processing, then integrate BI tools. This creates visual reports of cohort analyses and metric measurements for your startup's growth.

Yes, you can validate assumptions during a Lean Startup pivot by applying cohort analysis and A/B testing to your user data. This provides evidence-based recommendations on whether to persevere or adjust your strategy.