A platform designed to remove the guesswork from hiring home contractors — bringing transparency, trust signals, and seamless discovery to a fragmented market.
OwnTheBuild — contractor discovery interface
Homeowners face a deeply frustrating reality when it comes to home improvement: the process of finding, vetting, and hiring contractors is opaque, inconsistent, and anxiety-inducing. Recommendations are word-of-mouth, review platforms are scattered, and there's rarely a clear signal for who is actually trustworthy.
OwnTheBuild was conceived to solve this. The goal: design a platform where homeowners feel genuinely confident before they ever make a call — and where quality contractors can build a reputation that actually works for them.
"How do I know this person will show up, do good work, and not overcharge me? There's no way to know until it's too late."
The core design challenge was translating trust — something traditionally built through referrals and personal relationships — into digital signals that feel credible, not manufactured. That meant rethinking what information homeowners actually need, and when.
The design process moved through several distinct phases, each aimed at stress-testing assumptions and refining how trust, discovery, and action could work together in a single flow.
Audited existing platforms (Thumbtack, Angi, Houzz) to identify where they fall short — cluttered UIs, buried trust signals, and dark patterns that push conversion over clarity. Defined the opportunity: a cleaner, more human-first experience built around confidence, not urgency.
Mapped the homeowner journey from initial search through to first contact — identifying decision points and moments of friction. Structured the IA to surface the right trust signals at the right time, without overwhelming users before they're ready to act.
Explored multiple layout directions for the core search-and-browse experience. Tested card-based contractor profiles against list views, and iterated on how verification badges, ratings, and portfolio imagery could reinforce trust without visual clutter.
Focused heavily on micro-interactions that communicate system responsiveness. Used Lovable to prototype and validate these interaction patterns at near-production fidelity — collapsing the gap between design intent and live behavior.
Established a visual language grounded in calm confidence: generous whitespace, a restrained palette anchored by a trustworthy green, and typography that balances warmth with clarity. Iterated on component states across the full responsive range.
A key tension throughout: balancing the depth of information contractors want to share with the speed homeowners want when browsing. The resolution was a progressive disclosure model — surface the essentials in the card, give depth in the profile.
Placed search prominently above the fold rather than category browsing — reflecting how homeowners actually approach the problem: with a specific need, not a category.
Verification badges were designed to be instantly recognizable but not dominant — a quiet signal of credibility rather than a marketing stamp.
Designed review surfaces to lead with written context rather than star ratings, nudging homeowners to read before they filter.
Eliminated competing actions on cards. A single "Request Quote" CTA reduced decision fatigue and improved clarity of next steps.
The final design delivers a clean, search-first experience where trust signals are woven into every layer of the interface — from initial search results through to the contractor profile and inquiry flow.
Key moments in the final design include a frictionless search experience with smart filtering, contractor profile pages that lead with social proof, and a quote request flow designed to feel low-commitment for homeowners and high-signal for contractors.
View the full interactive experience built in Lovable