A Sampling of Our Stories
Data stories come in all shapes and sizes. We create stories through social posts, infographics, articles, videos, and scrollytelling. Each modality has its own strength, and the type of story you're creating likely fits one modality over another.
Each month, we publish different stories we've worked on (across sports, entertainment and business) along with any data, code, tutorials and design resources. Use these stories for inspiration and the resources to create your own amazing data story.
- Predicting Who Will Win the Stanley Cup
- From Backyard to Bridge - A Spotlight on Reece James
- The Coachella Effect
- AI & Project Management
- F1: The Race to Abu Dhabi
Coming Soon
- NHL 2025-2026: The Season Ahead
Predicting Who Will Win the Stanley Cup
Our first series focused on the 2025 NHL playoffs and demonstrated how you can build a story to predict the winner of the Stanley Cup – including both what to do and the pitfalls to avoid. This data story started with a single, flawed social post and ended with a series of social posts designed to provide updated predictions for the Stanley Cup winner after each game.
- The Data Story: "Predicting Who Will Win the Cup"
- Exploratory Data Analysis: "Predicting Who Will Win the Cup"
- Forecasting a Winner: "Predicting Who Will Win the Cup"
- The Final Content: "Predicting Who Will Win the Cup"
Additional Resources: GitHub Repo | Canva Templates
Check out our "It's a Wrap" post for our learnings.
From Backyard to Bridge
This multi-part data story introduces you to Reece James, Chelsea FC's homegrown talent who joined the club at age six.
Rising through the ranks, he now leads the senior team and has been a vital part of the squad for the last five years. Our end goal with this data story will be to translate the series into a scrollytelling story.
- From Backyard to Bridge: Part 1
- From Backyard to Bridge: Part 2
- From Backyard to Bridge: Part 3
- From Backyard to Bridge: Part 4
To round out the Reece James story, we've recently published From Backyard to Bridge as a scrolly. Check it out here!
The Coachella Effect
Coachella attracts festival goers from around the world. It is increasingly one of the key platforms to help artists reach a global audience and hit new levels of success. According to Chartmetric, the "Coachella Effect" is the impact the festival has on an artist's career. In this data story, we'll explore the Coachella Effect through the lens of four Spotify metrics to see if we can predict the next big breakout artist.
- The Coachella Effect: An Introduction
- The Coachella Effect: Measuring Impact
- The Coachella Effect: Chappell Roan's Breakout Blueprint
- The Coachella Effect: Predicting the Next Breakout Artist
Additional Resources: GitHub Repo | Canva Templates
Bonus Newsletter: Analyzing the Coachella Effect: Artist Insights using Chartmetric, Songstats & the Spotify API
AI and Project Management
AI is changing many disciplines and industries. In this series, our data story will focus more on how AI is evolving the project management industry and the nature of the Project Manager role. There are massive gains to be gotten from an industry that is witnessing a 48% failure rate in projects (PMI). This series explores how you can be ahead of the curve with AI and project management.
- Project Management: The State of the Industry
- The AI Revolution in Project Management
- Project Management: The Daily Rebuild
- Project Management: The Future Project Manager
The Road to Abu Dhabi
The F1 World Championship is one of the fastest and most exciting sports viewed around the world. In our monthly data story, we're going to be following the final seven races of the 2025 season. We'll explore the data and statistics behind the race and delve into some models that help shape our stories and perhaps predict the winners.