RGRiya Gulhare
All work

Case study 03

JioSaavn Collaborative Experience & Growth Strategy

A collaborative playlist concept designed to create network effects, reduce engagement drop-offs and strengthen long-term listening habits.

B2CMobileAudio StreamingMAU North StarNetwork Effects
FocusEngagement & growth
North starMonthly active users
MethodPrimary user research
JioSaavn logo on a dark background
01

Context

Music discovery is social, but the listening experience often becomes solitary after a track is shared. I explored how JioSaavn could turn lightweight sharing into recurring collaborative behaviour.

02

Problem statement

Users faced friction in building shared listening spaces, while the product lacked a repeatable loop that brought friends back together around music.

03

Research signals

Primary conversations surfaced a desire to contribute without coordinating in a separate chat.

  • Sharing links fragments the experience.
  • One playlist owner becomes the bottleneck.
  • Contributors want visibility into who added what.
  • Users need simple controls to avoid playlist clutter.
04

The product bet

Collaborative Playlists allow an owner to invite contributors, set permissions and surface recent group activity. Lightweight reactions create a reason to return without turning the player into a social network.

05

Value vs. effort

Invitation, contribution and activity history form the smallest complete loop. Reactions and recommendation prompts follow once contribution frequency demonstrates demand.

06

KPIs & target metrics

MAU is the north star because collaboration should increase recurring participation, supported by invite acceptance, weekly contributors, session duration, playlist saves and ARPU. Targets would be baselined during an experiment.

07

Experience flow

Create playlist → invite through a familiar share sheet → join with one tap → add or react to tracks → receive a useful activity recap → return to listen together.

08

Learnings

Network effects need a complete invitation-to-value loop. A social feature is only defensible when the invited user receives value immediately and has a natural reason to invite the next person.