IN DEVELOPMENT
FITRADIO AI Mood
FITRADIO is a top performing mobile fitness app with millions of daily users, they offer innovative DJ-curated workout mixes, audio-guided workouts, tempo-matching technology, and much more.
Challenges
FITRADIO users faced choice paralysis from too many workout options, making it hard to quickly find mixes that fit their mood or activity, which lowered satisfaction and engagement.
My Role & Collaboration
I collaborated with FITRADIO to launch AI Mood Mix, their first AI-powered feature designed to address choice paralysis by curating personalized workout mixes based on each user’s mood, activity, and genre preferences. By combining FITRADIO’s DJ expertise with AI, the feature not only streamlined selection but also encouraged users to discover mixes beyond their usual choices, leading to deeper exploration and stronger app engagement.
Research
I researched several competitors including Spotify, Endel, Chosic, and others to compare their AI-generated features with FITRADIO’s AI MIX. I examined user customization, playlist creation, and the overall experience. This helped highlight FITRADIO’s unique strengths and inspired future improvements.
Optimizing User Flows
To better understand how users interact with the AI experience, I mapped a high-level user flow highlighting key decisions and system behavior.
The feature uses two AI layers:
A tag-based recommendation engine to surface content based on user input
A machine learning model that personalizes results by learning from user actions and behavior over time
Integrating AI Mood into the existing player
I designed several exploratory concepts to integrate the new AI features into the existing player screen. The challenge was to enhance functionality without straying too far from the current experience, ensuring it remained intuitive for users.
Hi Fidelity Designs
A/B Testing the entry point
I conducted an A/B test to determine the best placement for the entry point, ensuring users could easily discover the feature. After testing, the navigation bar achieved a 12% adoption rate, demonstrating the highest level of user engagement.
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