Moodly- Ux Study Case
As my very first app project, Moodly gave me the chance to explore the full UX process — from research to final prototype. The app helps users find the perfect alcoholic drink to pair with their meal through smart, personalized recommendations powered by AI. The idea is rooted in using intelligent suggestions to enhance the dining experience in a simple and tailored way.
Here are some selected slides from the case study, starting with the problem statement.
Tools and methods used throughout the UX process – from research to final design.
Alongside my qualitative research through interviews, I used a Google Forms survey and Collected 15 responses to deepen my understanding.
After analyzing data from interviews and surveys, I created two user personas to reflect different perspectives. This helped me identify key goals, frustrations. Above is one of the personas.
To better understand the target audience and illustrate their needs and behaviors, I created an empathy map. This helped me gain deeper insight into their thoughts and feelings.
Based on the vaulable research, i started my brainstorming process on paper, as sketching by hand helps me think more creatively in the early stages of design.
Refined user flow using Figjam.
Prototype tested with five users — feedback led to key design improvements.