UX Collective

We believe designers are thinkers as much as they are makers. https://linktr.ee/uxc

Follow publication

Member-only story

Data Storytelling: Present insights like a Pixar film

Xiao Zhou
UX Collective
Published in
6 min readNov 4, 2022

Photo by Klaas on Unsplash

This guide aims to help designers, product managers, and data scientists pitch data-driven ideas. Write stories that convey a clear takeaway, without overwhelming people with numbers. Prevent data paralysis.

Let’s assume that dozens of data points have been pulled as part of an exploratory analysis. Perhaps to assess impact of a product change, to estimate the value of a new market opportunity, or to guide a Go, No-Go decision. Insights are littered all over the place.

So what’s next? How do we synthesize all these insights? How do we go from dozens of plots to “Go, No-Go” decisions?

Analysis Process: You’re likely done with the exploratory analysis and need to draft a presentation to synthesize results and findings
Common Data Analysis Process

1- Craft a storyline

Toy Story 3 cost ~$200M to make. Not cheap. So before the team invests in building 3D models, composing music, and hiring actors, they storyboard. The entire film is planned by sketching potential shots, re-working them, and getting the storyline just right. So only the necessary animations are produced. Nothing more.

Example film storyboard showing a fighter pilot in cockpit scene
Photo by Matt Popovich on Unsplash

Designers, product managers, and data scientists can also leverage storyboards. They can help visualize user experiences and draft analysis stories. They allow us to see the big picture, organize plot points, and add/remove insights to better convey ideas. It prevents us from wasting time investigating hypotheses that don’t matter or creating beautiful charts that won’t be used. It serves as a plan for our analysis write-up.

Instead of sketches, analysis storyboards are made from takeaway statements. These takeaways are written by reviewing each data point from our exploratory analysis and asking: So what? What is the data telling us? What action does it empower? What does it explain?

This leads to takeaway statements that look like:

  • Opportunity to ___

Create an account to read the full story.

The author made this story available to Medium members only.
If you’re new to Medium, create a new account to read this story on us.

Or, continue in mobile web

Already have an account? Sign in

Written by Xiao Zhou

Night owl writer. Builder of analytics apps at startups and F500s in daytime; Maker of free indie GPT-powered Slack summary app: thetakeaway.app

Write a response