Yla
Concept Project
Year
2026
Responsabilities
A self-initiated solo project.
Tools
Figma
FigJam
Google Forms
Claude
Methods
Interviews
Survey
Personas
User journey
Card Sorting
Site Map
Flowcharts
Competitor Analysis
Affinity Mapping
Overview
An AI-powered ticketing platform for the Lithuanian market, centred around transparent personalisation and easy discovery.
Context
The Lithuanian ticketing market is dominated by platforms with a steep entry for mid to small scale events. Discoverability of events is limited and difficult on existing platforms. Currently, mid to small scale events rely on facebook events or instagram for organisation and promotion, which makes discovery difficult and ticketing solutions external.
Process
Competitor Analysis
Evaluated the two main ticketing platforms (Bilietai.lt, Paysera Tickets) and Facebook Events through: Category Structure, Search & Filtering, Discovery Surfaces, Organiser Onboarding, Long-tail Visibility, Personalisation, Visual / Tag Language:
Bilietai.lt
Poor Discovery
Broad
Popularity-driven
Paysera Tickets
Low Barrier
Poor Discovery
Facebook Events
Social-graph dependent
Unstructured
Black-box algorithm
No ticketing services
Key Insights
Triangulating findings of 4 interviews (1 event organiser, 2 DJs, and 1 event goer) and 31 survey responses I found that event discovery in Lithuania is broken:
Discovery is Fragmented
Finding indie, ambient, or pop-up events requires manually checking multiple platforms, Instagram pages, and group chats
Organizers Are Locked Out
Listing small or free/"pay what you can" events is blocked by complex onboarding and pricing models built for large productions
No Algorythmic Control
No control over when and how events are recommended on social media platforms
Personas
Three key personas for three key users: atendees, artists and organisers.
Site Map
A site map for an MVP while solving for easier discovery and personalisation
Interest Tags
Basing personalisation on tags allows a more transparent system for discovery.
