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A.I Compartive Market Analysis (CMA)

Context

Cut Comparative Market Analysis (CMA) preparation time by 5 hours, delivering an 83% faster workflow.

* For an agent completing 4 CMAs a month, that’s 240 hours saved per year—over 6 full workweeks reclaimed.

My Role

Product Designer

Team

Product Manager, UX Researcher, Developer(s), 2 Product Designers

Timeline

April 2025 - September 2025 (6 months) Shipped in November 2025 (Beta)

Applied Skills

User Research, Competitive Analysis, Prototyping, User Testing

Role & Responsiblity

As the Product Designer on the AI CMA team, I...

  • Led the end-to-end redesign of the CMA creation experience in RPR Mobile™, focusing on speed, clarity, and agent control
  • Delivered multiple AI CMA features by producing, iterating, and validating high-fidelity prototypes through 10+ user testing sessions with REALTORS® and industry professionals
  • Translated research insights into mobile-first workflows that reduced friction, accelerated time to insight, and supported confident pricing conversations
  • Collaborated closely with Product Management and Engineering to align AI capabilities, technical constraints, and business priorities
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A.I Options Bottom Sheet
Select A.I CMA (Seller/Buyer)

Overview

Faster pricing conversations. AI handles the analysis. The user leads the decision.

AI CMA, currently in Beta phase, leverages AI to provide reliable pricing strategies and price and market assessments using comp data, market trends, and comp stats, tailored for either a Buyer or a Seller. AI CMA helps users (agents) have smart pricing decisions with their clients.

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The Problem

Users needed speed, clarity, and mobility—without losing control.

Comparative Market Analysis (CMA) creation was a time-intensive, multi-step process that required deep market expertise, disproportionately impacting less experienced users—especially in mobile, in-field scenarios. Users were forced to analyze comparables across multiple screens, manually cross-checking data and increasing cognitive load, which slowed decision-making and reduced confidence. Pricing rationale lacked structured support, making client explanations manual, inconsistent, and difficult to communicate clearly. As market conditions shifted, frequent recalculations disrupted workflow continuity and further extended time to completion. Compounding these issues, existing mobile tools lacked the depth and flexibility required to support a complete, end-to-end Comparative Market Analysis (CMA) workflow in real-world usage.

Cumbersome report building

Comparative Market Analysis (CMA) creation was a time-intensive, multi-step process, requiring deep expertise and disproportionately impacting less experienced users—particularly in mobile, in-field scenarios.

Multiple screens and cross-checking to ensure accuracy

Comparable analysis required switching between multiple screens and manual cross-checking, increasing cognitive load and slowing decision-making.

The Solution

A mobile-first Comparative Market Analysis (CMA) workflow powered by AI insights.

What I heard consistently from users—and validated through research and iteration—was the need for clarity, speed, and control. I designed AI CMA in RPR Mobile™ (beta) as a mobile-first workflow that delivers faster insight, clearer pricing logic, and full user control, making it easier to lead confident, client-ready pricing conversations wherever the work happens.

Pricing Strategy
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Summary Results
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A.I Summary & Details

Outcome

Results...

Workflow Time Reduction

83%

Reduced CMA creation from 6 hours to 1 hour.

Time Saved per CMA

5+ hrs

Reclaimed for client conversations and fieldwork.

Reports Generated (Month 1)

10,000+

Strong early adoption after launch.

Mobile Report Ranking

Top 3

Surpassed the legacy CMA report on mobile.