AI Rental Valuation2024

Rentest.ai product design case study

An AI-driven rental valuation interface designed to make estimation, comparison, and decision support feel clear and trustworthy.

Visual slot

Rentest.ai

Project screenshots, Figma embeds, or Behance visuals can be added here when assets are ready.

Role

UI Designer

Audience

Property owners, rental teams, and valuation tool users

Tools

Figma, AI Product UI, Responsive UI, Design Systems

Focus

Responsive interface design, Scalable design system

Problem

The product challenge

AI valuation tools need to communicate confidence, input requirements, and generated estimates without feeling like a black box.

UX approach

How the experience was structured

01

Designed clear input and result sections so users can understand how the valuation flow works.

02

Used hierarchy and component states to separate estimates, supporting details, and next actions.

03

Prepared responsive layouts for web use across devices.

Interface areas

Screens and systems covered

Rental estimate flowInput and result UIResponsive valuation screensDecision-support content blocks

Design system note

The UI system focuses on form fields, result cards, confidence indicators, and responsive sections for a reliable AI-tool experience.

Outcomes

Impact-style results

  • A clearer AI valuation flow for rental estimation.
  • Reusable components for future estimation and reporting modules.
  • A responsive interface foundation for product growth.

Internal resources

Frequently asked questions

What makes AI product UI different?

AI product UI needs to make inputs, generated results, confidence, and next steps understandable so users can trust the experience.

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