What's Inside

This chapter covers the core features and capabilities of Data Storytelling & Presentation Guide.

What's Inside

Chapters (Deep Guides)

• Chapter 1: Narrative Structures — Five proven story arcs for data presentations
• Chapter 2: Audience Analysis — How to calibrate your message for executives, peers, and technical stakeholders
• Chapter 3: The "So What" Framework — The single most important skill for analysts
• Chapter 4: Chart Choice for Stories — Selecting visualizations based on narrative purpose, not data type
• Chapter 5: Visualization Makeovers — Before/after transformations with detailed reasoning
• Chapter 6: Executive Communication — How to brief leaders who have 5 minutes and zero patience
• Chapter 7: Presentation Delivery — Managing nerves, handling Q&A, and recovering from dead audiences

Templates (Ready to Use)

• Full deck outline (narrative arc structure)
• Executive summary one-pager
• Data story one-pager
• Weekly metrics update template
• Stakeholder brief template

Examples (Worked Walkthroughs)

• Churn analysis story (full walkthrough from data to deck)
• Revenue growth narrative (quarter-over-quarter)
• A/B test results communication

Checklist

• Pre-presentation quality checklist (print and use)

How to Use This Guide

If you're preparing a specific presentation:

1. Start with the checklist (checklist.md) to see what "done" looks like

2. Pick your narrative structure from Chapter 1

3. Use the audience analysis (Chapter 2) to calibrate depth

4. Grab the appropriate template from templates/

5. Review examples for inspiration

If you're building the skill generally:

Read chapters 1–3 first. They cover 80% of what separates forgettable analysis from analysis that changes decisions.

Who This Is For

Follow this guide to get Data Storytelling & Presentation Guide up and running in your environment.

Who This Is For

• Data analysts presenting to stakeholders for the first time
• Experienced analysts whose insights aren't getting traction
• Anyone who's been told "great analysis, but what should we do?"
• Team leads coaching junior analysts on communication

Key Principles

1. Every insight needs a "so what" — Data without implication is trivia

2. Structure before slides — Plan the narrative before opening any tool

3. Audience determines depth — Same data, different story for different people

4. One message per visual — If a chart makes two points, split it into two charts

5. Action over information — End with what should happen next, not what happened