Reusable Content Snippets:
AI-Accelerated Concept Testing

The full case study is in a secure area. Contact Natty Smith for access. See below for a summary.

Full Case Study (Password Protected)
 

Project: AI-Accelerated Content Management Concept Testing
Timeline: August–September 2025 (1 month)
Role: UX Designer
Users: 1.85 million potential users globally

  • Led an AI-accelerated research process to validate a "Content Drawer" concept for reusable content snippets before committing development resources.

  • Used ChatGPT to develop realistic instructor narratives and product requirements, then built a functional prototype with Bolt.new in days instead of weeks.

  • Reduced prototype development time by 70% and research synthesis time by 40% compared to traditional Figma-based workflows.

  • Conducted unmoderated concept testing with eight university instructors across diverse disciplines, using AI to accelerate transcript analysis and theme identification.

  • Validated strong instructor interest in combining their own materials with publisher content, identified critical requirements (media support, automatic saving, assessment integration), and moved the concept into the design backlog.

  • Demonstrated that AI-powered workflows can compress research timelines from ten weeks to three weeks while maintaining insight quality.