Clarity for the most complex decision in real estate
This was the decision spot of a real estate investment app, where users weigh photos, numbers, and neighborhood data to decide if a home is worth buying. The old page overwhelmed newcomers and left agents skeptical. Redesigning it was key: if users trusted this page, they’d trust the whole product.
Industry:
Real estate
Role:
Lead designer
Year:
2025
The hypothesis:
For property evaluation to succeed, it had to feel clear, fast, and trustworthy. By reducing noise and surfacing only the most important signals first, we could help agents and investors move from hesitation to confident action.
Mobile first, then everything else
We started on mobile on purpose: the constraints forced real priorities. The first fold carries only what belongs there: address, status, the most important KPIs, and clear calls to action. It mattered for agents who work on the go, and the mobile slice became the rulebook we later applied to desktop.
Before
After
Reducing cognitive load at first glance
The first version had 30+ clickable targets above the fold, overwhelming users. We streamlined this to 6 essential actions, making the page easier to scan and faster to act on. Drag the slider above to compare before and after.
Progressive complexity:
clear signals upfront
Originally, the property page was spread across tabs. Later version had ~5 clicks to reach the financials. We combined it into one simplified page by surfacing only the most important signals upfront, while keeping depth accessible. This structure cut back on navigation friction and gave confidence that they could dive deeper without getting lost.
Cut comp selection
from 6-8 steps down to 3-4
The original wide table + tiny map slowed people down. We redesigned comps with photo-first cards, a larger map, and Street View quick action. Subtle but powerful details (like the difference between the target and comp on hover) made it easier to compare visually first, then confirm with numbers.
Al underwriting cut analysis
from hours to minutes
We already had automated analysis, but it required expert setup. The new AI assist takes the first pass automatically. Pulling from photos, and other data, and returns a recommendation “Keep” or “Pass”. It breaks results into four categories: Potential, Renovation, Risk, Location.
Outcomes
Early tests showed less overwhelm and smoother navigation — and the design itself became our strongest sales differentiator. By simplifying the experience into one clear page, we reduced bug reports, aligned the team more easily, and made development faster.
