Dating Service
MVP of web dating service
My Drafts
1 · Context & Constraints
Business Goal & Strategic Backdrop
The project focused on core functionality and optimal product development approach. The client, an individual entrepreneur, sought to create a dating platform that moved beyond swiping to facilitate real-world connections through shared location interests.
Team Structure
Client
Product vision and business requirements
Me
Design, prototyping
Developers
Technical implementation designs into life
Key Constraints
- Strictly limited budget requiring MVP approach;
- Specific client vision for "Recommended Places" differentiation;
- Timeline pressure for market entry.
Interactive Prototype
High-fidelity Figma prototype demonstrating complete user flow from onboarding through date planning. Prototype included micro-interactions for filtering, modals and smooth transitions.
Dark Theme
A fully functional dark theme was also designed for the app.
4. Messenger
- Conversation starters based on shared place interests;
- Categorization into liked user and with whom the locations matched;
- Sharing of favorite local spots.
3. "Recommended Places" Matching
- Algorithm combines user preferences with local venue data;
- Each match suggestion includes 3-5 user liked options;
- Distance-customizable matching (0-100 mile radius).
2. User Profile System
- Photo-first design with personality highlighting;
- Interest tags linked to activities;
- Blurred visual hierarchy that encourages user exploration of the page.
1. Onboarding Process
- Progressive profile building with only essential information upfront;
- Facebook and Google integration for quick signup;
- Progress indicators showing completion status.
The "Recommended Places" feature serves as natural conversation starters while addressing the common problem of "what to do on a first date". Key features designed:
2 · Solution
3 · Results & Impact
Quantitative Results
Based on 2-month post-launch tracking and user feedback analysis:
- Profile Completion: 78% complete profile rate (exceeded 70% target);
- Feature Adoption: 65% of users actively used "Recommended Places"
- Session Quality: Average session duration was 9 minutes 20 seconds.
Business Impact
The product has found its place in a crowded market
Foundation for monetization through location partnerships
Strong user testimonials for investor presentations
This case study demonstrates how unique feature can transform generic matching into meaningful, actionable connections among people.
