Abdelrahman Afify

Tal3a App Design

Tal3a is a mobile app designed to solve the common problem of friends struggling to decide where to go. The app offers smart filtering, AI-powered suggestions, community reviews, and interactive group decision tools, making planning outings faster, easier, and more fun. This case study showcases the UX research, problem-solving, and design process behind Tal3a, from ideation to UI screens and future features.

problem

Users struggle to choose the right place for an outing due to scattered information and unclear prices and reviews, making the decision stressful and time-consuming.

solution

A comprehensive outing experience by integrating search, recommendations, and smart planning, while fostering social interaction among users and boosting app loyalty.

Tal‘a is a mobile application that helps people easily choose the perfect outing—whether it’s a family trip, a hangout with friends, a date, or a quick plan without overthinking.
The core problem the app solves is decision fatigue and unorganized options, by offering smart recommendations based on the outing type, budget, available time, and location.

Everyone has different interests, which makes it hard to agree on an outing that suits everyone. We often spend hours scrolling through social media—Facebook groups or blogger reviews—only to waste time and sometimes end up not going out at all.
Users struggle to choose the right place because information is scattered, prices are unclear, and reviews are unreliable, making the decision-making process exhausting and time-consuming.

year

2025

timeframe

8 weeks

tools

Figma, Miro, Notion