A responsive business intelligence platform for Cotality's Araya ecosystem, helping users identify market opportunities, understand competitive landscapes, and act on complex real estate data with confidence.
Context
Cotality's Market Intelligence product is designed to help businesses identify new market opportunities by analyzing market trends, consumer preferences, and competitive landscapes.
The product needed to uncover untapped markets, emerging trends, and niche segments, then present those insights in a way that supported growth, innovation, and faster decision-making.
The Problem
Users needed to identify emerging trends, market gaps, and new opportunities while staying current with the latest market insights.
The challenge was to create a product that made complex datasets readable, trustworthy, and easy to use across devices, so users could position their business for success.
Impact
The work reduced cognitive load in complex dashboards through progressive disclosure, stronger data-trust signals, accessible charts, and reusable UX patterns.
System usability score achieved for the data visualization experience.
Increase in daily active use after simplifying dashboard workflows.
Reduction in errors through clearer interpretation and stronger data signals.
Increase in user confidence when reading and acting on the data.
Kick Off
The discovery phase brought stakeholders into alignment around the product vision and intended outcome. The primary objective was to establish a shared understanding of the data, enhance usability, maintain focus on the core problem, and deliver a valuable, trustworthy experience.
We conducted structured activities including information architecture definition, competitor analysis, How Might We sessions, ideation, and prioritization workshops.
Defining the Approach
The solution needed to make data easy to interpret, actionable, and consistently up to date. A key priority was enabling faster, more informed decisions by reducing friction and simplifying complex datasets.
I focused on selecting effective data visualizations, improving readability through visual hierarchy, consistent patterns, thoughtful spacing, and clear prioritization of key performance indicators.
Responsive Product Strategy
Responsiveness and accessibility were essential. The experience was designed to work across devices, including mobile, while preserving the clarity users need when reading charts, maps, leaderboards, and market KPIs.
Help users identify emerging trends, market gaps, and opportunity areas faster.
Use the right chart types, hierarchy, and spacing so complex datasets are easier to read.
Keep the platform usable across desktop and mobile without losing key business context.
Design System
The product was built using Ensemble, a design system developed and maintained in Figma to ensure consistency, scalability, and efficiency across the Araya platform.
Ensemble provided a shared language for design and development. Variables and design tokens standardized color, typography, spacing, elevation, and theming so teams could move faster while maintaining coherence.
Accessibility WCAG AA
There was a strong emphasis on making information accessible to all users. I followed WCAG AA standards so both content and data visualizations could be used by people with disabilities, including users with visual impairments.
The experience supported keyboard interaction, screen readers, voice-assisted technologies, semantic landmarks, descriptive labels, and a clear heading hierarchy. Chart work used Highcharts accessibility features including screen reader support, keyboard navigation, and alternative data formats.
Final Design
The final product connected dashboards, maps, lender rankings, loan officer details, filters, and responsive views into a unified experience for market analysis and lead generation.
Closing
This project reinforced how much structure matters in data-heavy products. Clear hierarchy, accessible visualization, responsive behavior, and reusable design-system patterns helped turn complex real estate data into insights users could understand and act on.
