Why Data Storytelling Matters

  • Facts alone are not memorable

  • Stories stay in long-term memory

  • Data becomes easier to remember when paired with emotion

Proof:

This is why I don’t just present data — I design it as a story.

My Process

Understanding the Audience

  • Start by identifying who is in the room and why they are there

  • Assume everyone already knows the surface-level problem

  • Focus on what the audience does not yet see or realize

Examples of Story Techniques I Use to Keep Attention

1. Bad → Good Switch

  • Start with the problem or tension

  • End with improvement or resolution

  • Makes progress visible

Here is the Before...

2. Humanize the Data

  • Compare numbers to real-life or familiar things

  • Helps people feel the data, not just read it

Here is the before and after

My Approach to Data Storytelling

These are just a few of the techniques I use to turn data into stories that are clear, human, and persuasive.

In practice, I combine many storytelling and simplification methods—choosing what best serves the message, the audience, and the decision at hand.

My focus is always the same:
Reduce cognitive load, guide attention, and make the insight unmistakable.

I don’t expect the audience to work for the meaning.
I do the analysis, remove the noise, and reveal the takeaway—clearly and intentionally.

Every deck is structured as a narrative, not a collection of slides.
Each slide earns its place, sets up the next, and answers one simple question:

What’s the message—and why does it matter now?