What features could be added to Talabat's app to make the restaurant selection process more personalized for users?

Introduction

To enhance Talabat's app and make the restaurant selection process more personalized for users, we need to dive deep into user behavior, preferences, and pain points. I'll outline a strategic approach to address this challenge, focusing on user-centric solutions that leverage data and innovative features.

Step 1

Clarifying Questions (5 mins)

• Looking at Talabat's position in the food delivery market, I'm curious about the app's current personalization features. Could you share what personalization elements are already in place, such as saved favorites or order history-based recommendations?

Why it matters: Determines our starting point and helps avoid duplicating existing features. Expected answer: Basic personalization like order history and favorites exist. Impact on approach: Would focus on more advanced AI-driven personalization and user preference learning.

• Considering user engagement patterns, I'm wondering about the frequency of app usage. What's the average number of times a user opens the app per week, and how does this vary between different user segments?

Why it matters: Helps understand user behavior and opportunities for increasing engagement. Expected answer: Average 2-3 times per week, with power users at 5+ and casual users at 1-2. Impact on approach: Would tailor personalization strategies to different usage patterns.

• Thinking about Talabat's business goals, I'm interested in understanding the primary objective behind this personalization initiative. Is the focus on increasing order frequency, average order value, or user retention?

Why it matters: Aligns our personalization strategy with key business metrics. Expected answer: Primary focus on increasing order frequency and user retention. Impact on approach: Would prioritize features that encourage repeat visits and orders.

• Considering the competitive landscape, I'm curious about user feedback on Talabat compared to other food delivery apps. What are the main areas where users feel Talabat could improve in terms of personalization?

Why it matters: Identifies key differentiation opportunities and user pain points. Expected answer: Users want more accurate recommendations and easier discovery of new restaurants. Impact on approach: Would focus on enhancing recommendation algorithms and discovery features.