Most AI design tools jump from prompt to screen. That feels fast until the team realizes the flow is incomplete, the edge cases are missing, and the design does not fit the product. Figr reasons through UX first, using product context to ask questions, map flows, identify states, review tradeoffs, and explain decisions before creating design output.
The screen is the visible part. The hard part is deciding how the product should behave.
Who can take this action?
What happens after failure?
What should be shown before data exists?
What does the user need to know before committing?
Which existing pattern should this reuse?
What is the tradeoff between speed and control?
When AI skips those questions, it produces confident design with fragile product thinking.
Figr uses Figma context before generation, then makes the result easier to bring back into design review.
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Add your product knowledge to Context Pod and give Figr the context it needs to help your team reason, design, and align faster.
UX reasoning is the work between a prompt and a design: asking questions, mapping flows, identifying states, weighing tradeoffs, and explaining product decisions.
No tool should be framed that way. Figr helps teams reason, surface options, and create artifacts. The team still reviews and decides.
UX review evaluates an existing flow. UX reasoning is broader: it helps shape new flows, requirements, edge cases, and design decisions before or during creation.