Mojo GoGo
Mojo GoGo is an innovative AI platform designed to bridge the gap between reality and artificial intelligence by empowering users to create three highly customizable AI agents.
My Role
I was a Senior Product Designer on this project, which aimed to develop a prototype and MVP that would secure investor funding and validate user interest.
The Team
Product Designer – Me, 1 UX/UI Designer, 1 Project Lead, 2 Front-end Developers, 2 Back-end Developers, 2 QA Engineers
Project Duration
6 Month
Tools
Figma, WeChat, VSCode, WebKit, Google Docs, Jira, Google Analytics
PROBLEM STATEMENT
THE CHALLENGE
AI today is disconnected and generic. Users often find AI assistants impersonal and unable to adapt to their unique needs. Businesses face limitations with proprietary AI tools, such as poor data integration and a lack of scalability.
Root Causes
- Centralized AI ecosystems limit customization and flexibility.
- Privacy concerns deter users and businesses from fully embracing AI.
- The lack of multi-party interactions restricts innovation and engagement.
Impact
- Users: Frustrated by AI tools that fail to understand personal preferences or emotional needs.
- Businesses: Struggle with inefficiencies, limited customer engagement, and weak ROI from existing AI solutions.
Market Validation
83%
Of users are concerned about AI privacy
40%
Of businesses report low ROI on AI investments​
Final Design
A cohesive platform with three integrated AI agents tailored to personal, emotional, and business needs.
Impact
$2M+
Secured funding based on MVP pitch
5K+
Users joined the waitlist within the first month
~80%
Early testers found the AI agent highly intuitive
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