Skip to main content

Strava

Why We Run

Data stories
Animation
Tech
Fitness & wellness

Date

February 2020

Timeline

12 weeks

Project team

Headshot of Jack BeckwithHeadshot of Sam VickarsHeadshot of Michael Hester

Industry

Tech, Fitness & wellness

View Project
Landing page and intro viz for The DataFace's project with Strava

Introduction

A global survey. Thousands of runners. One simple question: Why do you run?

We partnered with Strava to transform their most ambitious global research effort into an interactive data story that uncovers the motivations that get people moving — from mental health and social connection to goal-setting and pure joy.

Animated gif of data visualization on "Routine" for The DataFace's project with Strava
Animated gif of data visualization on "Health" for The DataFace's project with Strava
Animated gif of data visualization on "Community" for The DataFace's project with Strava
Animated gif of data visualization on "Aspirations" for The DataFace's project with Strava

The Brief

Strava wanted to tell a more personal story about running — one that focused less on distance or pace, and more on why people run in the first place.

They had just fielded their largest-ever survey of runners, with more than 25,000 responses from across nine countries. With this unprecedented dataset in hand, Strava engaged Imprint Projects and Polygraph to help develop a campaign around the findings. We were brought in as the lead design and development partner — responsible for analyzing the raw data, developing key themes and archetypes, and building an immersive digital storytelling experience to share the insights with the world.

Screenshot of landing page for The DataFace's project with Strava

The Research

At the heart of the story was a single, open-ended question: Why do you run?

The responses were as diverse as the runners themselves. To find patterns within the chaos, we worked with the Strava team, Imprint, and Polygraph on a multi-step process.

Qualitative Interviews

Imprint organized a series of three-hour, one-on-one interviews with 24 runners. The respondents were men and women from either the United States or United Kingdom.

Quantitative Survey

Strava administered an online survey to 25,000 of its users, who were invited via email and the Strava app. Respondents were drawn from nine markets -- Australia, Brazil, Britain, Canada, France, Germany, Japan, Spain, and the U.S.

The survey consisted of over 50 open-ended and multiple choice questions about the drivers of running motivation. The data derived from the survey would serve as the basis for most of the interactive data viz on the microsite.

In-Person Workshop

In October 2019, members of the Strava, Imprint, and DataFace teams met to review the research findings and brainstorm about the narrative. The qualitative research had already identified five core needs for runners -- stability, self-awareness, control, belonging and realization.

In a series of discussions and group activities, the teams identified additional patterns from the quantitative and qualitative data that fit within this framework.

Initial data from a survey done for The DataFace's project with Strava
Initial data from a survey done for The DataFace's project with Strava
Mood board and sketches done for The DataFace's project with Strava
An early chart summarizing the results from a question in the user survey as part of The DataFace's project with Strava
Screenshots of our project with Strava on a mobile device

The Vision

We set out to create something that felt rich and data-driven — but also personal, warm, and reflective.

Running is inherently emotional, and the story needed to mirror that. Our goal was to design a scrollable narrative that would invite runners to see themselves in the data, not feel boxed in by it. That meant clean visual metaphors, bold storytelling moments, and archetypes that felt inclusive rather than rigid.

We also wanted to give Strava’s global audience something they could explore on their own terms — a piece of digital storytelling that felt both editorial and interactive.

Screenshot of final design mockups for The DataFace's project with Strava

The Process

We brought research, design, and development together to craft a fluid experience from scroll to scroll.

We performed our own analysis in Tableau, summarizing the results from each question and cross-tabulating multiple questions to unearth patterns in the responses. We also had demographic information about each runner, including age, gender, and country of origin, so we looked to see how responses varied across demographic groups.

Concepting

Once we examined the survey data in detail, we turned our attention to outlining the interactive experience at a high-level. We offered two, alternative “visions” for the experience to Strava and Imprint: one was a more traditional data story and the other a “choose your own adventure” style experience.

Strava gravitated towards the traditional data story, especially because the nature of our data was similar to that of the OpenNews project. Still, Strava emphasized a desire to have multiple “tracks” through the project, allowing the reader to delve deeply into insights that interested them and skip over others.

The design system created for The DataFace's project with Strava
The design system created for The DataFace's project with Strava

Mockups

We did four rounds of mockups with Strava, each higher fidelity than the last. We used Strava’s fonts, color palette, and iconography, so that the project could live naturally on Strava’s website.

We collaborated closely with Brinson McGowan, a Senior Designer on Strava’s team, during this phase of the project.

Screenshot of full design mockups for The DataFace's project with Strava

Bringing it to Life

We designed and built a fully responsive and engaging experience that combined motion, narrative, and interaction.

Story Flow

One of our biggest challenges was to sift through all the research -- hours upon hours of transcripted interviews, results from 50+ survey questions -- and identify the most salient points.

We decided to start the narrative by highlighting a juxtaposition. Most survey takers (63%) claimed that they “definitely enjoyed” running. But when asked about specific stages of a run — the first mile, the midpoint, running uphill — few people reported that they actually loved any of them. So if runners merely tolerate the physical act of running, why do they keep coming back to it?

It was a perfect “hook” to set up the rest of the experience. We honed in on two questions from the survey that spoke very directly to that question and to the impetus of the research.

We used data from questions #15 and #16 to design what we dubbed the “core visualization”

The core visualization in The DataFace's project with Strava

Content

We divided the rest of the experience into four “chapters”, based on themes identified through the research. Each chapter covered a deep-seated desire that running helps fulfill -- improving health, finding community, establishing routine.

The final chapter focused on the aspirational piece of running and its role in guiding people towards self-actualization. Instead of reporting out more stats from the survey, we decided that the most powerful way to present this information was by letting runners speak for themselves. So we sifted through hundreds of open-ended responses from the survey and added audio clips from in-person interviews. The result was something honest and raw.

Static charts we helped create for our project with Strava for use on social media

The Results

Strava started pitching to the media during the week of February 10, 2020 and publicly revealed the microsite on February 19.

The response was immediate. Hundreds of athletes began sharing the microsite on Twitter, with screenshots of the charts or findings that particularly resonated.

Tier 1 outlets like Reuters, The New York Times, Runners World, Vice, and Bustle wrote about the research, along with major media in Japan, Spain, and France. Overall, Strava landed 150+ press pieces.

Strava continued to drip out static images from the project on its official Instagram and Twitter accounts over the coming weeks. Together, the posts amassed almost 30,000 likes on Instagram alone.

Testimonial

The sentiment on our social channels was incredibly positive… [W]e saw 99% positive engagement on owned channels and really thoughtful reactions on Twitter.

Annie Vranizan

Director of Global Marketing for Strava

Tools used

Logo of D3

D3

Logo of Github

Github

Logo of Figma

Figma

Logo of HTML

HTML

Logo of CSS

CSS

Logo of Javascript

Javascript

Logo for Google Docs

Google Docs

Logo for Archie ML

Archie ML

Logo for Handlebars

Handlebars

Logo for Tableau

Tableau

By the numbers

25k+

Survey responses

150+

Press pieces

615

GitHub commits

Ready to turn your data into something great?

Speak to a data expert

Stay in the loop

We’re always adding to Data & Eggs, our growing library of data viz inspiration