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Case Studies

What's Good

Food & Drinks

What's Good - Discover the Perfect Spot, Every Time

What’s Good is a community-driven nightlife and social discovery app that helps users find the best bars, restaurants, and nightclubs based on personalized preferences. Inspired by crowdsourced platforms like Waze, What’s Good gets smarter with every user interaction—curating real-time recommendations and evolving user experiences based on mood, favorites, and previously saved profiles.
  • Location-Based Discovery with Smart Filters
  • Save Search Preferences as Custom Profiles
  • Edit and Refine Profiles to Fit Different Moods or Events
  • Mark and Save Favorite Spots for Quick Access
  • Receive Suggestions Based on Favorite Place Tags
  • Crowdsourced Ratings & Check-in Activity
  • Real-Time Updates on Popularity, Wait Times, and Vibes
  • Name:What's Good
  • Categories:Food & Drinks
  • Location:Berlin
  • Technology:React Native
  • Duration:3 months
Challenges

Challenges of this Case

  • Dynamic Search Experience: Enabling complex filter options without overwhelming the user interface.
  • Preference Personalization: Offering deep customization without complicating the user journey.
  • Crowdsourced Data Scaling: Making sure the app remains valuable during early-stage usage with fewer users.
  • Smart Recommendation Engine: Matching venue tags and user preferences to surface hyper-relevant suggestions.
  • Location Trust & Privacy: Collecting live usage data without compromising user anonymity or privacy.
Approaches

Our excellence team approaches

  • Dynamic Search Experience: Enabling complex filter options without overwhelming the user interface.
  • Preference Personalization: Offering deep customization without complicating the user journey.
  • Crowdsourced Data Scaling: Making sure the app remains valuable during early-stage usage with fewer users.
  • Smart Recommendation Engine: Matching venue tags and user preferences to surface hyper-relevant suggestions.
  • Location Trust & Privacy: Collecting live usage data without compromising user anonymity or privacy.
Final Result

Excellence in Our Service Final Results

  • Beta testers loved the ability to switch between custom profiles for different outings, boosting repeat usage by 50%.
  • The app’s matching engine showed a 78% success rate in delivering relevant venue suggestions within the first week of user onboarding.
  • Local businesses expressed interest in partnering with What’s Good to drive targeted footfall during slower hours.
    • Used by 20M+ users around the world

    Technology that’s made to last
    Designed to evolve

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