A Case Study On
Gaana iOS & Android app Revamp
About Gaana
Gaana, a B2C company and India’s first music streaming platform. It caters a wide range of listeners across globe. Hosting a variety of music from Hindi, English, Punjabi to many regional languages like Telugu, Tamil, Kannada, Bhojpuri, Gujrati, etc. Today, Gaana is making its way into video streaming and has recently added a feature where users can enjoy live concert streaming as well.
Problem
We were catering everything. Yes, this was our major issue. We were depending on our users and letting them decide what they wanted to listen. But this is not how our users thought. I conducted a concise user research in year 2018 among our friends, relatives, colleagues, vendors, people around the office area. For which I made a questionnaire focusing on some major decisive points and were distributed through email, messages and actual face to face surveying.
Also, with ever increasing content and new features, the android and iOS app had became confusing and less intuitive. There was no design language and too much cognitive load. My aim was to reduce these pain points and make the app more usable and easy to navigate for anyone, no matter the age or qualification.
Approach
The discovery phase took a while, it allowed us to define project milestones. We scrutinised our existing work, reviewed our competitors and began research into our user needs, behaviours and pain‐points. We created a brief but to the point questionnaire which would give an insight on the listening pattern of our users and their music preference. I undertook this project in year 2018. It took approx. 3 months, including all research and iterations time.
Survey Questionnaire
One of the participant said that, “I used Gaana for sometime but I couldn’t discover what I wanted to listen, so I switched to Saavn.” Another participant said, “Gaana has vast collection of music but its UI is confusing, sometimes I search and listen to a song but I am not able to discover music of my choice without using search.”
These were the few feedbacks and also pain points of our app. The data collected from the survey highlighted that there were four kind of music listeners and we needed to understand these users and cater music for each one of them. We categorised and named such users in 4 personas: Wanderer, Looper, Discoverer and The Socialist. My goal was to make the design and flow intuitive and accessible, so that each type of user were able to discover music of their choice easily.
The Personas
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Explorer | 54%
An explorer, lands on the app and browses. Listens to the recommendations and easily navigates though app to discover his choice of music.
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Looper | 13%
Looper is the one who is a repetitive listener, either listens from the recently played or from his/her own created playlist or liked songs.
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Discoverer | 13%
Knows what he wants to listen. Based on his/ her mood or genre, either prefers to search or play our mood based playlists and podcasts.
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The Socialist | 12%
Browses and plays whatever he feels interesting or listens to popular and trending songs or those recommended by friends.
Songs
I added a play icon for prominent differentiation. Also accompanied with number of plays and artist name
Visual Identification
Artists
Circular thumbnails for clear identification.
Albums
Artworks with just a small album icon but no play icon.
Playlists
Artworks with small playlist icon.
Videos
Artworks with small video icon with time stamp.
Podcasts
Artworks with waves around.
FINAL SCREENS
RESULTS
The final product was an amalgamation of all types of designed entities and arranged in a manner that our users wanted which would re arrange itself on the basis of AI driven personalisation.
GA data after 1 month of implemented changes:
Average engagement on player- Numbers of users: 66% to 78% (increased by 12% after Darwin project)
Recently played became most played section - Engagement increased from 40% to 53%
Top Charts- Attracted 33% of our users, which was 27.7% before
Trending Songs- Engagement increased by 33% after revamp
Made for you- All playouts increased from 5% to 8%