Reimagining social networking with an intelligent app
Social Networking
Background
Current social networking applications lead to many unwanted matches, wasting people’s time. AIVA set out to revolutionize the way people meet by leveraging artificial intelligence to match users with similar preferences. DAP was brought in to build, test and validate the AIVA app. We also developed a go-to-market launch strategy.
Discovery
DAP analyzed the current social networking market and defined product-market fit. We suggested features that would give AIVA a competitive edge in a crowded marketplace, and identified the machine learning algorithms needed to deliver highly accurate recommendations. Additionally, we defined UX requirements for the new app experience.
Solution
DAP delivered an exhaustive product strategy. We provided product recommendations and suggested app improvements to increase user adoption, and designed the new user experience. Finally, we built machine learning algorithms that could analyze millions of data points to deliver highly personalized matches.
- Product strategy
- AI-powered social matching
- UX design
- Product analytics
Results
Built an innovative AI-driven app
Overhauled the AIVA user experience
Validated market adoption pre-launch
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