Illustrative engagement. A representative scenario showing how we approach this kind of work in music. It does not describe a specific client; outcomes are described qualitatively.
Industry overview
What is shaping music
Labels, streaming services and live music businesses need to know how people listen, discover artists and choose concerts, and to pay artists accurately.
- Streaming dominates listening
- Live music is a growing revenue source
- Royalty accuracy builds artist trust
Client background
A music streaming app, working in India & Indonesia. This is an illustrative engagement: a representative scenario showing how we approach this kind of work, not a named client project.
- Organisation
- A music streaming app
- Sector
- Music
- Team engaged
- IT & Development
- Services
- UI/UX design, Qualitative research
Client challenge
Users struggled to find playlists and new releases.
Research objectives
- Deliver on the brief: usability research for a music app.
- Define requirements and success criteria the solution would be tested against.
- Deliver a reliable, secure solution the team can run and extend.
Target audience
Scope: 20 sessions.
Audiences we typically reach in music
ListenersConcert-goersArtistsStreaming subscribersVenue operators
Geographic coverage
Coverage: India & Indonesia. Markets: India and Indonesia.
- India
- Indonesia
Research methodology
An iterative delivery approach: discovery, design, build and test in short cycles, with the client reviewing each step.
- 1Brief
- 2Usability sessions
- 3Insight
We ran usability sessions on discovery, search and playlists.
UI/UX designQualitative research
Sampling strategy
- Users and stakeholders from every affected team took part in discovery workshops and acceptance testing.
Data collection
- sessions
- 20
- Requirements were gathered through workshops, process walk-throughs and a review of existing systems and data.
Data quality & validation
- Peer code review on every change
- Automated and manual testing
- User-acceptance testing with the client
- Release checklist and rollback plan
Data analysis
- Usage and performance monitoring after launch
- Defect and support-ticket trends
- Process time before and after
Key findings
- Users wanted mood-based browsing.
Discovery should follow how people feel.
Recommendations
- Build on the core insight: discovery should follow how people feel.
- Focus effort where the evidence was strongest: users wanted mood-based browsing.
- Re-measure after the changes to confirm the effect.
Business impact
- The app added mood categories to its home screen.
What changed in the business as a result of the work. Impact is described qualitatively.
Deliverables & next steps
- Insight report and management presentation
- Interview summaries and key verbatims
- Deployed solution with documentation and handover
- Support and maintenance plan
- Repeat the measure after changes are in place to track progress.
- A natural follow-on question: who goes to live shows?