A redesign of Ownly's Build & Price experience — transforming a fragmented flow into a clear, step-based journey through user research and close collaboration with engineering.

Buyers struggled to understand pricing, options, and tradeoffs in a complex build-and-price flow, leading to hesitation and drop-off.
Before redesigning Build and Price, I reviewed dozens of Hotjar sessions to understand where the existing experience was breaking down. Users struggled to find the right home model, felt overwhelmed when customizing, and often got lost due to unclear navigation and industry terminology.
Interviews with builder customers surfaced similar themes. The interface felt dated, the fidelity reduced trust, and buyers lacked key features already planned for the roadmap.
The original Build and Price experience had low Save conversions, the key step required for buyers to create an account and continue their purchase journey.
User sessions showed clear issues:
As a result, most buyers abandoned the flow before creating a profile, which directly affected lead generation and qualification.
Builders noted that buyers expect a smooth, self-guided digital experience, yet the original Build and Price often fell short and created friction in sales conversations. From research and internal analysis, four core friction areas surfaced.
Buyers frequently lost their place in the flow and weren't sure what step came next.
The original interface lacked visual clarity and polish, reducing trust in a high-value purchase.
Industry terms caused hesitation and stalled progress.
Buyers wanted stronger filtering and easier lot selection, both critical for decision-making.
These insights set the foundation for our design goals: improve usability, simplify language, enhance visual fidelity, and elevate the discovery-to-customization journey.
We started by mapping how the existing Build and Price flow worked so the team had a shared understanding of the features, rules, and gaps.
We analyzed extensive Hotjar data to understand where users spent their time. The highest friction occurred in two critical areas:
This insight helped us prioritize where improvements would drive the greatest impact.
Interviews with home builder customers revealed two roadmap features that offered outsized value with low engineering lift:
By aligning early with engineering, we ensured these features could ship within the redesign timeline.
To improve navigation, we reviewed Build and Price flows from other high-consideration industries, especially automotive. Car manufacturers use clear step-based navigation, and applying that model helped early testers move through our flow with confidence.

Through multiple rounds of testing, the flow became noticeably clearer. Users moved forward and backward without confusion, language barriers were reduced, and the interface took on a sharper and more modern feel. Each iteration brought the experience closer to what buyers expected.

The redesigned Build and Price experience gives buyers a smoother path from discovery to customization. It brings clarity to each step, helps buyers understand their options, and supports more confident decisions as they explore models, features, and pricing.
A linear navigation model inspired by automotive UX allows buyers to move forward and backward without losing context.
Buyers can now explore floorplans, options, elevations, and pricing adjustments with clarity and transparency.
The redesigned Build & Price was A/B tested against the original experience for 1 month resulting in strong results:
More buyers successfully completed the flow and created Ownly accounts.
Users explored deeper into the experience and interacted with more options.
No significant confusion in forward/backward movement during usability testing.
This project showed how strongly interface clarity influences buyer trust. Creating a better Build and Price experience meant understanding buyer behavior, business needs, and technical constraints at the same time.
Mapping the Build and Price system early gave the team a shared view of how it worked and where it needed improvement. That clarity helped us make better decisions in a fast-paced environment.
Studying automotive and other high-consideration purchase flows helped us see the problem differently. Their step-based navigation model gave us a clearer direction for our own buyers.
Testing low-fidelity concepts early helped us refine ideas before moving into detailed design. Small changes to language, layout, and sequencing made the flow easier for buyers to navigate.
Buyers needed an experience they could trust. When the steps, terms, and pricing are easy to understand, they are more comfortable continuing with a decision as significant as a new home.