Gooey.AI Copilot Builder Redesign
Gooey.AI is a low-code copilot builder enables impact organizations to create custom chatbots for support to farmers, nurses and other users.
When I joined the project, the copilot builder was primarily designed for technical users, creating significant barriers for the program managers who required weeks of support team assistance to successfully launch their first chatbot. I worked with the Gooey.AI team to redesign the entire user experience, transforming the copilot builder into an intuitive, step-by-step process.
Timeline
April 2025 - June 2025
Role
Lead Product Designer
Team
CEO, 2 Developers
Impact
85%
Reduction in Setup Time
70%
Eliminations in Dropoffs
40%
Reduction in Support Tickets
Problem
Overwhelming Complexity for Non-Technical Users
Gooey.AI's copilot builder was designed for technical users, creating significant barriers for program managers and operations leaders at impact organizations who needed to deploy chatbots quickly without coding expertise.
RESEARCH
Identifying points where users needed the most support
With limited direct user access and a tight timeline, I started by conducting a comprehensive UX audit of the existing interface and competitive analysis. I collaborated with the founder and developers to understanding the points that the users needed the most support in, but realized I needed to speak with real users to uncover their actual pain points and workflow challenges.
UX Audit
Through a comprehensive analysis of the existing interface, I identified 4 critical issues:
Single-Page Overload
Poor Information Hierarchy
Technical Language Barrier
No Guided Onboarding
Competitive Analysis
I analyzed leading copilot builders (direct competitors) including Microsoft Copilot Studio, Chatbase, and no code tools (indirect competitors) like Claude, and NotebookLM to understand the industry patterns:
Progressive Disclosure
Template-Driven Approach
Immediate Testing
Contextual Guidance