Dscout's Bex Jeanson: AI prototyping exposed gaps that OOUX then filled
- Source
- When Rapid Prototyping with AI Causes Gaps, Try This Method
- Published
- Bex Jeanson•3 September 2026
Bex Jeanson, a designer at Dscout, describes a Paylocity project where AI-assisted prototyping in Figma Make surfaced unresolved structural questions rather than validating an idea, such as whether notifications belonged at the step, automation, or global level, and whether triggers counted as steps. Instead of continuing to prototype, Jeanson ran a multi-week object-oriented UX (OOUX) sprint with a mentee, defining the system's objects, relationships, and permitted actions before building a single screen. The sprint ran in two-hour blocks rather than the eight-hour days often recommended for OOUX. Jeanson found AI useful for generating candidate nouns and verbs but unreliable for resolving relationship decisions, which still required human judgment.
Sources
- When Rapid Prototyping with AI Causes Gaps, Try This Method
- Published by
- Dscout
- Published
- 3 September 2026
- Written by
- Bex Jeanson
- Type
- Original reporting