AI Workflows

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Role:

Lead UX Designer

Type:

Web App

Impact:

+70% Adoption Rate

I led the redesign of a market research company's AI chat tool, transforming it from an underused interface into a streamlined workspace tailored to social researchers' daily tasks. Grounded in user research and core UX principles, the new design introduced layered workflows for content curation, meta-analysis, and tagging, helping users navigate complexity with greater efficiency and clarity.

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About

Research & Problem

Users were opening the tool, unsure how to start, and leaving quickly. I interviewed five researchers and found a range of needs—organizing interview transcripts, analyzing surveys, and managing multiple projects. We reviewed other AI tools and focused on five principles: guide 🗺 users, allow customization🤳, ensure transparency 🗣, use clear visual 🎨 cues, and protect privacy🔐. Early concepts included a prompt library, structured workflows, and shortcut actions. User testing revealed a strong need for task-based navigation over fully custom prompts.

Cluttered Exam Screen

Difficulty Finding Specific Exam

Incomplete & Delayed Reports

Design Solutions

Structured Workflows

Pre-built workflows for tasks like coding and translation were added directly to the interface, helping users start quickly without needing to write custom prompts.

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Customizable Workspaces

Users could organize chats by project, adjust settings, and save frequently used actions—making it easier to manage multiple research efforts in one place.

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Built In Guidance for Blank Screen Anxiety

Features like prompt suggestions, FAQs, and visual indicators showed users what to do next, while explanations and warnings improved trust in AI-generated outputs.

Conclusion

The new look and feel was sleek, with a dark mode theme that gave it a modernized edge.