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Case study

Build Anything desktop

Jump to designs
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Reducing clicks to reduce drop-off

The Cost of Assuming Your User Is Technical

Build Anything AI is positioned as a tool that lets users quickly generate and publish apps using AI. While powerful, the product currently assumes a highly technical user and over-indexes on inputs, configuration, and conventions familiar to builders. This case study highlights UX opportunities to improve clarity, accessibility, and momentum, especially for non-technical creators.

Key Observations & Opportunities

  1. Prioritize output over input. The result is the product
  2. Design for non-technical users using sliders, presets, and visual controls
  3. Clarify integrations with goal-based recommendations to reduce cognitive load
  4. Remove early friction. No ratings or interruptions before value is felt
  5. Align CTAs with user readiness, especially publishing actions
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Information Overload

Before: Project Dashboard

Before state of project dashboardImage
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Information Hierarchy

After: Project Dashboard

Using groups and contrast to signal prioritiesImage
Scalable searchImage
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Updated project dashboard designImage
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Information Overload...Again

Before: Editing Project

Multiple actions compete for attentionImage
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Information Hierarchy

After: Editing Project

Clear next steps shown after 3rd promptImage
Reduce decision fatigue while keeping featuresImage
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Interface prioritizes chat outputImage
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Final Design

Build Anything Interaction

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