LandMatch

The LandMatch web app showing a parcel map alongside its feasibility analysis panel
PLATFORM
Web App
ROLE
User Research, UI/UX Design
TIMELINE
May – June 2026

LandMatch is a SaaS product built for land feasibility consultants – experts who assess what can be built on a given piece of land, and how much. LandMatch emphasizes local data and citing its sources, positioning it as a trusted, centralized tool for the entire feasibility workflow.

The company founders hired a Designlab team to design its brand, website, and web app. My role was designing the web app – a map interface pairing feasibility analysis with an AI chatbot.

The result is a credible, approachable tool that turns complex land research into confident decisions.

Open prototype

The challenge

Land feasibility consultants currently stitch together zoning, environmental, and infrastructure data across 10–20 sources per site. This results in a fragmented, manual workflow, costing land developers days of billable work.

Existing U.S. tools fall short on local data and source credibility, forcing consultants to stitch together fragmented research.

Research

The team did two types of research – user interviews with three land feasibility consultants, and competitive research.

We found out that land feasibility consultants need:

  • Quicker access to reliable land-use and density insight. Project decisions are often delayed by time-consuming manual research across multiple agencies.
  • A workflow-oriented platform that mirrors existing industry processes.
  • Clearer visibility into environmental constraints and risks. Hidden site restrictions often lead to rework, delays and financial risk.
  • A faster way to determine net developable area.

Wireframing

I designed a five-zone desktop layout (layers, map, site detail/analysis, menu, AI chatbot) that keeps the map as a persistent “home base” while surfacing analysis on demand.

I designed a stepped feasibility flow: Site info → permits → analysis → citations → export, that mirrors how consultants actually reason through a parcel. For the analysis part, I prioritized the headline outputs – permitted use and net buildable yield, with both quick check (free version) and full analysis (paid version).

I did 3 iterations of lo-fi wireframing and sought feedback from the LandMatch team after each round, revising the draft in response.

The first version had all map controls (including layers) in the top-right corner and site detail on the left, similar to Google Maps.

Version 1 lo-fi wireframe with map controls in the top-right and site detail on the left Version 1 lo-fi wireframe of the site detail and analysis view

After initial feedback from the client, I revised the mockups to follow more established GIS patterns. The layers panel is now on the left and both site detail and analysis UI on the right.

Version 2 lo-fi wireframe with the layers panel moved to the left Version 2 lo-fi wireframe of the site detail and analysis panel on the right

Version 3, which the hi-fi prototype is built upon, has many small refinements after a thorough review and introduces the floating chatbot action button.

Version 3 lo-fi wireframe with refined layout and the floating chatbot button Version 3 lo-fi wireframe of the analysis workspace
Version 3 lo-fi wireframe of the permits step Version 3 lo-fi wireframe of the citations and export step

Prototyping and UI

After getting to a stable lo-fi wireframe and the team getting approval on the branding system from the LandMatch team, I designed hi-fi wireframes and UI components. I followed through by developing a working prototype with Claude Code that served as a source of truth for interactions, logic and animations.

The LandMatch UI component library — buttons, toggles, layer rows, chips, icons and legends High-fidelity map view with the layers panel and parcel map, no site selected yet High-fidelity site detail for 6501 Seat Pleasant Drive, with zoning, property and jurisdiction data beside the map High-fidelity view with the LandMatch AI feasibility assistant open over the map
Site detail panel showing the permits step with case context Site detail panel showing the full feasibility analysis with permitted use and net buildable yield Site detail panel showing clickable citations and sources

Final result

The result from the work on the GIS web app is a coherent, build-ready design, with a coded prototype. The product has been validated by a skeptical, expert audience as being easy to use and having a credible workflow aligned with their real practice.