Networky AI
Networky AI
Networky AI
Year
2023
My Role
UX Research
User Testing
UXUI Design
Industry
Software Tech
Deliverables
Hi-Fi Prototype
PRD
Challenges
Product
Imagine attending an event with 1,000+ attendees, wanting to make every minute count by connecting with key people. But navigating the attendee list is overwhelming, and manually searching LinkedIn profiles is time-consuming. You think about using AI tools to pinpoint your ideal contacts but worry about their accuracy & non-human vibes. In the end, you’re left relying on luck, hoping to bump into the right person after multiple conversations.
Team
In a fully-remote global team across time zones, I found it a problem to hand over design results and align with teams.
Solutions
We conducted user interviews, surveys, and analyzed in-app analytics to understand the pain points and user needs. We also studied competitor apps and industry trends to gather insights
Impacts
We conducted user interviews, surveys, and analyzed in-app analytics to understand the pain points and user needs. We also studied competitor apps and industry trends to gather insights
Challenges
Prodcut
Imagine attending an event with 1,000+ attendees, wanting to make every minute count by connecting with key people. But navigating the attendee list is overwhelming, and manually searching LinkedIn profiles is time-consuming. You think about using AI tools to pinpoint your ideal contacts but worry about their accuracy & non-human vibes. In the end, you’re left relying on luck, hoping to bump into the right person after multiple conversations.
Team
In a fully-remote global team across time zones, I found it a problem to hand over design results and align with teams.
Solutions
We conducted user interviews, surveys, and analyzed in-app analytics to understand the pain points and user needs. We also studied competitor apps and industry trends to gather insights
Impacts
We conducted user interviews, surveys, and analyzed in-app analytics to understand the pain points and user needs. We also studied competitor apps and industry trends to gather insights
Challenges
Product
Imagine attending an event with 1,000+ attendees, wanting to make every minute count by connecting with key people. But navigating the attendee list is overwhelming, and manually searching LinkedIn profiles is time-consuming. You think about using AI tools to pinpoint your ideal contacts but worry about their accuracy & non-human vibes. In the end, you’re left relying on luck, hoping to bump into the right person after multiple conversations.
Team
In a fully-remote global team across time zones, I found it a problem to hand over design results and align with teams.
Solutions
We conducted user interviews, surveys, and analyzed in-app analytics to understand the pain points and user needs. We also studied competitor apps and industry trends to gather insights
Impacts
We conducted user interviews, surveys, and analyzed in-app analytics to understand the pain points and user needs. We also studied competitor apps and industry trends to gather insights
Figure: Fundamental user flow of AI matchmaking feature
Figure: Fundamental user flow of AI matchmaking feature
Figure: Fundamental user flow of AI matchmaking feature
Figure: Typical user flows in various scenarios with AI-enabled features
Figure: Typical user flows in various scenarios with AI-enabled features
Figure: Typical user flows in various scenarios with AI-enabled features
Learning
Learning
Learning
Product
In a traditionally human-driven field, it’s essential to balance automation with human control and provide users the flexibility to opt in or out of AI features. Also, it turned out a great method to implement a “panel” UX approach with a limited user base - i.e., grouping users by different attributes, which maximized insight generation.
In a traditionally human-driven field, it’s essential to balance automation with human control and provide users the flexibility to opt in or out of AI features. Also, it turned out a great method to implement a “panel” UX approach with a limited user base - i.e., grouping users by different attributes, which maximized insight generation.
Leadership
Leading UX research, I learned to guide decision-making by presenting multiple options backed by validated data and offering personal recommendations, while leaving the final call to the C-suite.
For team members without a strong design background, I set clear expectations around timelines and deliverable details, ensuring alignment in an Agile environment and avoiding miscommunication on design quality.
Leading UX research, I learned to guide decision-making by presenting multiple options backed by validated data and offering personal recommendations, while leaving the final call to the C-suite.
For team members without a strong design background, I set clear expectations around timelines and deliverable details, ensuring alignment in an Agile environment and avoiding miscommunication on design quality.