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

Stakeholder & User Insights

I started by speaking with stakeholders to understand the scope of the problem. I also conducted interviews with 2 program managers from impact organizations.

Developer

"We're spending 4-6 hours daily helping users get through the capabilities configuration. It's becoming unsustainable."

CEO

"Users get excited about building a chatbot, but then hit this wall of complexity and either give up or need constant hand-holding."

User 1

"I understand what I want my chatbot to do, but all these technical settings make me feel like I need a computer science degree. I just want to help students get answers about our programs."

User 2

"The interface feels like it's built for developers, not for people like me who just need to get work done. I spent two hours trying to figure out what 'model temperature' means."

Design Strategy

Removing cognitive overload with guided clarity

Design Principles

Based on the research findings, I established principles to structure the redesign:

Progressive Disclosure

Reveal information gradually to prevent cognitive overload.

Familiarity

Use UI patterns users already know from messaging apps.

Immediate Feedback

Let users test changes in real-time.

Contextual Guidance

Add tooltips and context for technical jargon.

Restructured User Flow with Clear Progression

Transformed the overwhelming single-page configuration into a guided 3-step journey with visual progress indicators:

Addressed the Blank Page Problem

Implemented intelligent prompt assistance through template driven instruction mode, pre-written example descriptions, and contextual guidance.

Persisting Testing Interface

Designed testing as a consistent right-side panel that resembled modern messaging apps.