Course Highlights
This data storytelling workshop will:
- Show participants how to craft engaging narratives that make data meaningful.
- Offer frameworks for identifying and isolating key messages within data sets.
- Introduce techniques for using analogies and storytelling structures to present complex information simply.
- Provide strategies for designing effective charts, selecting the right visuals, and avoiding common data visualization pitfalls.
- Emphasize the importance of audience-centered presentation design to ensure clarity and impact.
Course Overview
“Narrative Numbers: Designing Data-Driven Stories” combines the art of storytelling with the science of data visualization to help teams turn complex data into compelling stories. In this full-day workshop, participants will learn to identify key messages, choose effective charts, and design data presentations that keep the audience engaged and informed.
We’ll start with an exploration of what makes a data-driven story compelling, discussing three classic plot types: heroic, tragic, and bittersweet. Participants will learn to structure their data narrative with essential parts—setting, conflict, and resolution—and apply the Description, Prediction, and Prescription model to connect data insights with actionable recommendations.
The course also covers practical data visualization techniques. Participants will learn to choose the right charts for different data types, use labels and summaries to enhance understanding, and avoid common mistakes like misleading axes or cluttered visuals. Throughout the day, participants will practice turning data into stories that resonate with their audience, using tools like allegories, analogies, and examples to make complex concepts accessible.
By the end of the session, participants will feel equipped to craft data presentations that not only inform but also inspire action.
The following outline highlights the course’s key learning points. As part of your training, we’ll adjust content to meet specific goals. Upon request, we’ll provide participant materials before the session(s).
Program Objectives
At this program’s conclusion, participants should be able to:
- Explain the reasons behind common slide design issues and how to prevent them.
- Identify and isolate key messages within data sets.
- Apply storytelling techniques like analogies to make data relatable.
- Select appropriate charts for different types of data.
- Design charts that go beyond standard software templates to highlight essential points.
- Use labels and summaries to clarify data and guide interpretation.
- Recognize and avoid common data visualization errors.
- Construct data narratives using the Description, Prediction, and Prescription framework.
Workshop Modules
- Why Bad Slides Happen to Good Data: Identifying Common Design Pitfalls
- Reading the Room: Understanding Audience Needs and Expectations
- Message Mining: Isolating Key Data Points for Your Story
- Building the Plot: Structuring Data Narratives with Plot Types and Story Parts
- The Right Tool for the Right Data: Choosing Effective Charts and Visuals
- Labels, Summaries, and Signposts: Using Text to Guide Interpretation
- Keep It Honest: Avoiding Misleading Data Representations
Target Audience
This workshop is designed for groups that want to:
- Improve their data presentation skills to make insights more engaging and actionable.
- Learn frameworks for building data-driven stories that resonate with diverse audiences.
- Develop confidence in creating data visuals that are clear, accurate, and impactful.
Suggested Format
- One-Day Onsite Training Course
Questions This Course Answers About Data Presentation Training
- How can we improve our team’s ability to present data clearly and engagingly?
- What storytelling techniques can make data insights more relatable and memorable?
- How can we choose the right visuals to avoid confusing or overwhelming our audience?