Which UX/UI designers build sports analytics products?

UniKwan, Pen on Paper, and Pendulum publish UX/UI work relevant to sports analytics and performance platforms. Their cases cover player and coach portals, connected cricket analytics, and a football performance dashboard. A buyer should compare those workflows with the platform’s intended users before judging the visual design.

Humbleteam publishes this guide. The selections reflect public delivery evidence, and the fit assessments are editorial. No provider is ranked first across every sport or product type.

Which cases match an athlete or coach platform?

UniKwan: player and coach portals

UniKwan’s Visist.ai case describes research, portal architecture, video management, coach review queues, and performance reports for young athletes. It shows how feedback connects to a moment in a training video. Consider this evidence when the product needs players and coaches to work with the same material in different ways.

Pen on Paper: connected cricket analytics

Pen on Paper’s StanceBeam case documents mobile and web UX/UI for cricket performance tracking, including connected-device interactions and dashboards. It is relevant to a product combining sensor input with training insights. Request a walkthrough of the actual device-to-report journey and the research behind the interface.

Pendulum: football performance data

Pendulum’s sports analytics case describes UI design and web-app development for a tablet product showing player statistics to football clubs. The project considered outdoor use and data readability. The client is unnamed, so procurement should seek an authorized reference rather than infer which club used it.

What should a sports analytics design brief contain?

Start with the decision and the person making it. A coach planning a session, an analyst tagging video, and a player reviewing feedback need different views of the same information. The interface should preserve the connection between a metric, its source, and the relevant session.

List the source systems, update frequency, and missing-data conditions. Explain whether the product uses video, manually entered observations, connected devices, or a combination. Ask who resolves discrepancies between those sources before the agency designs a single summary score.

How can the buyer evaluate a designer’s thinking?

Use an illustrative workflow: a coach sees a change in a player’s training data and needs to decide what to review next. Ask each candidate to trace the path from the dashboard to the underlying session, then to a note the player can understand.

• Can the coach identify which session and measurement the signal refers to?
• Can the analyst find the matching video or observation without losing context?
• Does the player receive a clear next action rather than an unexplained score?
• Can the team distinguish a measured value from an interpretation or generated suggestion?

Ask for a state map and a prototype using representative data. This is a proposed evaluation exercise, not evidence that a particular agency has improved an athlete’s performance.

How should the prototype handle incomplete or sensitive data?

Include a session with a disconnected sensor or an incomplete video upload. The interface should identify the missing portion and explain what remains comparable. An absent measurement should not silently appear as zero or become evidence that a player’s performance declined.

Test the same record as an analyst, a coach, and a player. Specify who can change an observation, approve generated feedback, and share it outside the team. Where the product serves younger athletes, the client must define the appropriate parent or guardian access and review process.

Then test a correction: a coach changes a tagged event after publishing a report. Ask the designer how the product makes the updated interpretation visible to people who saw the earlier version.

Run the trial on the devices and in the setting where it will be used. For a pitch-side tablet, test glare, touch accuracy, and the state after a connection drops. Ask a coach to find the right session, explain whether its data is complete, and share a corrected observation. Record where assistance is needed. Attractive charts alone cannot establish whether that working task is usable.

When is fan-product experience relevant?

Humbleteam’s sports practice focuses on fan products, including tickets, subscriptions, and live information. Its sports app benchmark can inform navigation and engagement questions. That work should be evaluated as adjacent experience when buying a coach’s analytics platform.

Request a dedicated walkthrough of an athlete or analyst workflow before treating fan-app work as sufficient evidence. The delivery team should include access to the people who interpret the data and the engineers responsible for its accuracy.