Illustrative engagement. A representative scenario showing how we approach this kind of work in film. It does not describe a specific client; outcomes are described qualitatively.
Industry overview
What is shaping film
Producers, distributors and streaming platforms take big creative bets. Audience research tests concepts, trailers and release plans before the money is spent.
- Streaming has changed release windows
- Regional-language content is growing
- Trailers shape opening interest
Client background
A film distribution company, working in South India. This is an illustrative engagement: a representative scenario showing how we approach this kind of work, not a named client project.
- Organisation
- A film distribution company
- Sector
- Film
- Team engaged
- IT & Development
- Services
- Web application development, CRM development
Client challenge
Bookings with cinemas were handled by phone and spreadsheets, causing errors in shows and settlements.
Research objectives
- Deliver on the brief: a booking portal for film distribution.
- Design around the real needs of exhibitors.
- Define requirements and success criteria the solution would be tested against.
- Deliver a reliable, secure solution the team can run and extend.
Target audience
The work focused on 300 exhibitors.
- exhibitors300
Audiences we typically reach in film
Cinema-goersStreaming viewersRegional audiencesDistributors and exhibitorsCritics and influencers
Geographic coverage
Coverage: South India. Market: India.
- India
Research methodology
An iterative delivery approach: discovery, design, build and test in short cycles, with the client reviewing each step.
- 1Brief
- 2Exhibitor portal
- 3Contract tracking
- 4Insight
We built a portal for exhibitors to book films, confirm shows and view settlement statements.
Web application developmentCRM development
Sampling strategy
- exhibitors
- 300
- Users and stakeholders from every affected team took part in discovery workshops and acceptance testing.
Data collection
- 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
- Shared records reduce disputes.
Recommendations
- Build on the core insight: shared records reduce disputes.
- Track adoption and support tickets, and plan the next release from real usage.
Business impact
- Booking errors dropped, and settlements became faster and easier to reconcile.
Impact is described qualitatively.
Deliverables & next steps
- Cleaned data file and data tables
- 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: will audiences watch this concept?