
Overview
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Apple for Athletes Apple for Athletes is a UX research case study conducted for Apple to explore new growth opportunities, uncovering student athletes as a key focus area and informing feature recommendations for the Apple Watch.
What it is
A concept Apple Watch experience focused on shared performance insights, team scoreboards, and real-time feedback to enhance team dynamics.
What has been done
Athlete observations exposed gaps in team awareness and motivation around performance data, informing problem framing and early concepts.
How it was done
A research-driven design process was used, combining observational research, insight synthesis, and experience mapping.
Background Research
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Apple
Apple has become one of the world's leading technology companies, renowned for its innovative products and services. Apple is celebrated for its sleek designs, user-friendly interfaces, and ecosystem integration, which have earned it a loyal global customer base and a prominent position in the tech industry.


Apple leads the wearable market with the Apple Watch, and continued innovation depends on refining features, user experience, and long-term engagement.

Target Users
Athletes in their late teens to mid-twenties who are active in sports, train regularly and prioritize health tracking. They are part of connected environments like sports teams, where wearable tech is integrated into their training.

Student Athletes
Competitors
Other wearable devices that athletes use, focused on tracking and optimizing fitness performance. They also offer features like activity monitoring, sleep tracking, health insights, etc.

Smart watch brands
Challenge
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Attract
Retain
Lead
The challenge for Apple Watch is to attract student athletes, encourage them to choose Apple Watch over competing devices, and retain them as loyal users beyond college. With a strong presence in the youth market and robust fitness-tracking capabilities, Apple is well positioned to innovate and redefine the smartwatch experience for athlete
User Research
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Research questions
01
Do student athletes use apple watches during training sessions?
02
What other brands besides the Apple watch do they use?
03
How, when and why do students interact with the device?
04
What behavior, movements and emotions during training sessions ?
Observation
Location: Recreation center at University of Colorado Boulder
Date & Time: Friday, February 23, 2024, Time: 3:00-5:30 pm
Methodology: Ethnography
Duration: 120 minutes
Sample size: 45
During the observation we aimed to understand how student athletes use Apple Watch during training sessions, their preferences for other smartwatch brands, the patterns and reasons for their interactions with the device, and the behaviors, movements, and emotions they display workouts.

User Interviews
The interviews focused on understanding the wearable devices athletes use, including different brands and preferences, the collected data usage and sharing, workout metrics, specific apps used, and the impact of wearable technology on their performance.
Duration: 40 minutes / each
Methodology: Ethnography
Sample size: 06

Outcome
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Ultimate Athlete Watch
Our vision includes three key features: real-time data sharing and a scoreboard exclusive for athlete teams, and customizable watch features for easy access to preferred metrics.
This approach enhances team collaboration and individual performance, making Apple Watch the ultimate choice for team sports.

Data
Training sessions begin with coach briefings and real-time guidance, followed by athletes comparing smartwatch metrics in a friendly, competitive setting. After the workout, athletes review their individual data to reflect on performance and identify areas for improvement.
Data Sharing



Scoreboard
Student athletes use smartwatches for personal tracking during practice but lack visibility into teammates’ performance. Without real-time or post-session comparisons, they miss opportunities for motivation, insight, and team-based improvement.
Evaluate your performance


Customize
Practice sessions are fast-paced and complex, with each athlete tracking different metrics based on individual goals. Navigating through smartwatch menus to find preferred workouts and data creates friction, pulling athletes out of training and reducing overall efficiency.
Prioritizing preferences

Study Limitations
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