ShoRe.ai is an innovative AI-powered networking platform that visualizes, gamifies and streamlines professional connections.
/ Project Type
MIT Team Project
/ Tools
Figma
/ My Role
Product Designer
/ Timeline
Feb 2024 - May 2024
Onboarding
Set up networking goals and keep track of them.
Import contacts from platforms like LinkedIn and Facebook, and select the primary ones to visualize.
Network Visualization
Showcases primary connections, facilitating easy access and interaction.
Toggle to view secondary connections, promoting opportunities to establish new professional links.
AI Monitoring Your Behavior
Set up calls with potential connections.
AI captures emotions and provides concise notes of your conversations, which will be stored in chat history for reference.
AI will provide suggestions on improvements.
Gamified Progress Tracking
Earn badges for meeting networking milestones.
Track progress against networking goals, with visual indicators.
Problem
However, most of the jobs are not out there.
Yet, 0% of time spent networking outside of referrals.
We interviewed 56 participants who are currently looking for jobs or have recently found a job.
Needs are perceived from these quotes.
Solution
Ideation 1
How might users know who to network with?
Ideation 2
How might users know what to say?
Ideation 3
How might users feel rewarded?
User Testing Method
Setting Up Two Success Metrics
Iterations based on user testing
Users Can Select Their Primary Connections
Decision: Allow users to manually select their primary connections after importing them from LinkedIn or Facebook.
Justification: It directly influences the algorithm's ability to suggest highly relevant potential connections.
Impact: High
Calendar scheduling removed
Decision: Integrate scheduling preferences and connection insights.
Justification: Personalized scheduling suggestions instead of calendar will improve networkers' feeling of being respected.
Impact: High
Options to Turn Off Emotion Tracking and Notes
Decision: Provide users with the option to disable expression tracking and note-taking features, and rephrase "tracking".
Justification: Important for addressing privacy concerns and user preferences, giving users control over their data.
Impact: High
Redesigned Goal Setting
Decision: The current design has a more intuitive and user-friendly structure, and it allows users to customize their own goals.
Justification: This can encourage more active participation and experience personalization.
Impact: High
Enhanced Profiles for Potential Connections
Decision: Upgrade the profiles of potential connections to include more detailed information such as keywords and badges.
Justification: Users can make more informed decisions, thereby improving the networking process.
Impact: Moderate
Switchable Interfaces between 'Notes' and 'Behavior'
Decision: Introduce a toggle feature allowing users to switch between viewing meeting notes and behavior analysis.
Justification: Offers users flexibility in how they review and utilize information post-interactions.
Impact: Moderate
Business Model
Market Analysis
Business Model Proposal
Product Roadmap
Short (0-2 year)
Capture the university market.
Prioritize the development of a mobile version.
Improve the integration of AI functionalities to provide users with deeper insights and personalized recommendations..
Intermediate (3-5 year):
Incorporate VR-based features and visualizations into our platform, such as VR coffee chats and the creation of micro-communities.
Expand our market presence into key regions like India and China, while exploring new verticals such as venture capital and startup funding within the US.
Long term (5-10 year)
Become the premier networking app encompassing a wide range of functionalities, from job searching to finding companionship.
Establish a global presence by launching in as many accessible countries as possible, catering to diverse user needs and fostering meaningful connections worldwide.
What I've Learned
Product Thinking
Agile Methodologies:
We Implemented agile methodologies to enhance flexibility and responsiveness in the product development process. Agile practices allow us for rapid iterations based on user feedback and changing market conditions.
Market Analysis:
I gained skills in conducting thorough market research to identify trends, understand competitive landscapes, and pinpoint user requirements. This knowledge helped us in making informed decisions that keep ShoRe.ai relevant and competitive.
Data-Driven Decisions:
We emphasized the use of data to drive decisions about the product. By analyzing user behavior and product performance data, we made more accurate predictions and improvements.
Innovative Approach To Using AI
Beyond Chatbots:
While many AI applications in the market focus on chatbot functionalities, our approach integrates AI into deeper, more substantive areas of networking and professional development.
Future of AI - Personalization at Scale:
AI will enable personalization at scale, allowing businesses to offer customized experiences to millions of users simultaneously without a corresponding increase in operational costs.
AI in Ethical Considerations:
As AI capabilities expand, a continuous commitment to ethical AI usage will be essential. We will ensure transparency in how AI is applied and provide users with control over their data, maintaining trust and integrity.
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