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Data Storytelling & Presentation Guide

$25

Presentation templates, data visualization best practices, executive summary frameworks, and narrative structure guides for analysts.

📁 23 files
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📁 File Structure 23 files

data-storytelling-guide/ ├── LICENSE ├── README.md ├── chapters/ │ ├── 01-narrative-structures.md │ ├── 02-audience-analysis.md │ ├── 03-so-what-framework.md │ ├── 04-chart-choice.md │ ├── 05-visualization-makeovers.md │ ├── 06-executive-communication.md │ └── 07-presentation-delivery.md ├── checklist.md ├── examples/ │ ├── ab-test-communication.md │ ├── churn-analysis-story.md │ └── revenue-growth-narrative.md ├── free-sample.zip ├── guide/ │ ├── 01_what-s-inside.md │ ├── 02_who-this-is-for.md │ └── 03_license.md ├── index.html └── templates/ ├── deck-outline-template.md ├── executive-summary-template.md ├── one-pager-template.md ├── stakeholder-brief-template.md └── weekly-metrics-update.md

📖 Documentation Preview README excerpt

Data Storytelling & Presentation Guide

A comprehensive guide to transforming raw analysis into compelling narratives that drive action. This isn't about making pretty charts—it's about structuring your findings so decision-makers actually do something with them.

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

  • 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

License

MIT License — see LICENSE file.

... continues with setup instructions, usage examples, and more.

📄 Content Sample examples/ab-test-communication.md

Worked Example: Communicating A/B Test Results

How to turn statistical output into a decision-ready story. Uses the What-So What-Now What structure because A/B test results typically have a clear finding and an immediate decision.

The Raw Results

You ran a pricing page A/B test for 21 days. Here's the statistical output:


Test: Pricing page redesign (new layout with comparison table)
Duration: 21 days (May 1–21)
Traffic allocation: 50/50

Control (existing page):
  Visitors: 34,218
  Conversions (started trial): 1,437
  Conversion rate: 4.20%

Variant (new comparison table layout):
  Visitors: 34,891
  Conversions (started trial): 1,640
  Conversion rate: 4.70%

Relative improvement: +11.9%
Absolute improvement: +0.50 percentage points
95% Confidence interval: [+0.12pp, +0.88pp]
P-value: 0.008
Statistical power: 92%

Additional data:

  • Conversion to paid (after trial): No significant difference yet (too early)
  • Average plan selected: Variant users chose the "Pro" plan 34% more often than Control
  • Mobile vs desktop: Effect consistent across devices

The Story Structure

Audience: VP of Product + Head of Growth

Time: 5 minutes in a weekly sync

Structure: What-So What-Now What

The Presentation

... and much more in the full download.

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