Design Questions
How might we enhance user engagement with the AI twin feature to foster deeper connections and significantly increase match rates on Twindly?
01 OVERVIEW
Summary
Twindly is an AI-powered dating app designed to give users who may not stand out on traditional dating platforms but have unique personalities worth exploring a second chance at connection. In its initial launch, Twindly introduced an "AI twin" feature, allowing users to chat with an AI version of potential matches. However, this feature did not significantly boost match rates due to low engagement.
Our task was to identify the reasons behind this issue and develop strategies to enhance user interaction and improve match outcomes.
02 IMPACT
Impact
经过redesign之后,我们进行了XX测试,最后得出。。。
25%
Increase in Match Rate
40%
Increase in User Engagement
20%
Increase in User Engagement
01 Iteration
User Flow
Optimizing itinerary generation experience to boost conversion rates and enhance business collaborations



02 User Research
Users Goal
Based on user interviews and user journey map, we identified the following two primary user goals:


01 DESIGN PROCESS
User Testing Iteration
Optimizing itinerary generation experience to boost conversion rates and enhance business collaborations
01 DESIGN PROCESS
User Feedback
Optimizing itinerary generation experience to boost conversion rates and enhance business collaborations
01 OVERVIEW
Final Outcome
Wanderboat is a travel itinerary planning app currently preparing for a user growth phase.
However, the app is experiencing low user retention rates, with research indicating that
01 DESIGN PROCESS
High Fidelity 1.0
High Fidelity 2.0
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01 OVERVIEW
Problem Statement
Low User Engagement with AI Twin
Users were not motivated to interact with their AI twin, resulting in limited use of the feature and minimal impact on match rates.
Lack of Personalized Interactions
User retention improved by 20%, with positive feedback from users appreciating the deeper connection opportunities provided by the AI twin interactions.
Limited Data for AI Optimization
With minimal user input and interaction data, the AI twin struggled to produce high-quality, relevant conversations which making it harder to sustain user interest and drive matches.
01 OVERVIEW
Process
The process follows the design thinking methodology, starting with problem framing and progressing through design and evaluation stages.

01 DESIGN PROCESS
Wireframes
Optimizing itinerary generation experience to boost conversion rates and enhance business collaborations

1
Sending Match Request
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1
Review Match Request
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01 REFLECTION
Reflection& Take Away
Optimizing itinerary generation experience to boost conversion rates and enhance business collaborations
High Fidelity 3.0
1
Review Match Request
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Enhancing Match Rates with AI Feature on Twindly
Twindly is an AI-powered dating app designed to give overlooked but interesting users a second chance at connection.
Timeline :
4 Months | Jan 2024 - Mar 2024
My Role :
User Research, User Flow
Wireframe, High-Fidelity,
Prototypes,
UX & Visual design, User Testing
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