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Finding the Story in Your Data

Learn how to explore data to uncover the insight worth sharing.

Before you can tell a data story, you need to find it. This requires moving from exploration mode to explanation mode — a critical shift that most analysts miss.

Exploration vs. explanation

In exploration mode, you're looking for patterns. You're asking: what's interesting here? In explanation mode, you've already found the insight. You're asking: what's the clearest way to communicate this?

Most analysts get stuck in exploration mode. They share their entire exploratory process with the audience — every chart, every dead end — when the audience only needs the answer.

The insight hierarchy

Not all insights are equal. Before you build your story, rank your findings:

1. **The headline** — the single most important thing to know

2. **The supporting evidence** — the data that proves it

3. **The context** — why this matters now

4. **The recommendation** — what to do about it

Start with the headline. If you can't articulate it in one sentence, you haven't found your story yet.

Practice with the AI Coach

Apply what you learned. Tell a data story on this topic and get real-time feedback.