Frameworks for Early-Stage Thinking

Here, we walk through the core frameworks that help early-stage founders think clearly about data. You’ll learn how to map your customer journey to key metrics, understand the full data lifecycle, and shift from basic descriptive analysis to more strategic predictive insights—all while staying lean.

The Data Lifecycle — Collect → Store → Analyze → Act

Startups often rush to build dashboards but forget the foundations. This section introduces the full data lifecycle, a simple yet powerful way to ensure your data efforts actually lead to action. Each stage builds on the last—skip one, and the system breaks.

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Mapping Metrics to the Customer Journey

Your customers don’t just “convert”—they go through a journey. This section teaches you how to connect metrics to each stage of that journey so that you can pinpoint where growth is strong, weak, or broken.

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Descriptive → Diagnostic → Predictive Analytics

Data isn’t just about the past—it’s a tool to understand the present and prepare for the future. This section introduces a simple but powerful 3-phase model to help founders evolve their analytics maturity over time.

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