2025
Welo: AI Event Discovery Assistant
Self-initiated project exploring better ways to discover local events.
Led the full product design process and created a mobile chatbot that recommends events based on mood, language, and location.
introduction
Exploring how AI and deep surveys can simplify event discovery
Prototype
Wireframes
Lo-Fi Prototypes
Test
Usability Testing
A/B Testing
Feedback Sessions
Empathize
User Interviews
Empathy Map
Hypotheses
Define
Personas
CJM
POV-statements
How Might We
Ideate
Brainstorming
Crazy 8s
context
Designing a chatbot experience for finding events based on mood, interests, and location
Welo is a self-initiated concept app that helps users discover local events through an AI-powered assistant. The chatbot tailors recommendations based on plain language input — considering context, mood, and language preferences — making discovery faster and more relevant.
“
We don’t need another event app—we need one that rethinks how recommendations work.
main problem
Users struggle to find relevant local events across fragmented, language-biased platforms
Most event discovery tools require manual filtering, switching between apps, or scrolling through irrelevant lists. Users become stuck in the endless feed and lose motivation to go out because it is difficult to find something suitable.
research
Understanding how people discover events — and why it often feels overwhelming
I conducted 5 in-depth interviews with people living in different cities (Hamburg, Moscow, Tbilisi, Belgrade) who occasionally or regularly attend local events. Participants varied in age, language preference, and digital habits.
Most platforms defaulted to German, and users couldn’t easily switch to English.
62%
Said they spend too much time searching for events.
46%
Open several websites and close them without choosing anything.
77%
Want recommendations that feel like they’re from a friend.
Based on user interviews, I created three personas representing distinct user needs and behaviors. These helped me empathize with different motivations — from planning family weekends to spontaneous social outings.
I mapped out the end-to-end journey of finding and attending an event — from the initial thought to post-event reflection. This helped identify emotional drop-off points and opportunities for product intervention.
Top Pain Points:
Too many events, but nothing feels right. Users feel overwhelmed by the volume of listings. Nothing truly resonates with them, so they often give up and stay home.
Searching takes too much time and effort. People browse multiple websites, spend 20–30 minutes looking, and still can’t find something they like. They want quick, relevant suggestions in one place.
Lack of trust in recommendations. Users don’t know who the event is for, what the vibe will be, or who else is going. They want suggestions that feel personal — like a friend’s tip — not a random list.