image of property search prototype using advanced filtering
image of property search prototype using advanced filtering

Insight

Insight

Fixing the Broken Property Search Experience

5 min read

Product design, User experience, Search and discovery, Data-led products, Prototyping, Vibe-coding

Property search has access to huge amounts of data, but very little of it is used in ways that actually help people decide where to live. We create a prototype to fix it.

Better products start by fixing real frustrations.

I’ve been searching for a new house recently. We’re planning to move out of our current area and widened the search to a few different counties. What became obvious very quickly was how frustrating the experience still is.

Thousands of listings. Endless scrolling. Filters that barely help.

Despite years of product innovation across other sectors, property search still feels stuck.


What’s not working


A few things stood out almost immediately:

  • No meaningful filters for things that actually affect day-to-day life, like school quality, broadband speed, commute time, garden size, or storage

  • No explanation for why irrelevant listings keep appearing

  • A reliance on manual checking to understand whether a property is even viable


The frustrating part is that most of this data already exists. It’s just not being surfaced or connected in a useful way.

The result is a slow, repetitive experience that puts all the effort on the user.


A quick rebuild


Around the same time, a client asked us to test Lovable, a rapid prototyping tool. We used it as an excuse to explore what a smarter version of property search could look like.

This wasn’t a product, and it wasn’t designed to be polished. It was a functional prototype, built in less than a day, with no design work involved.

The goal was simple: reduce friction and surface what actually matters.


What we changed


The prototype focused on a few practical improvements:

  • Clear onboarding to understand priorities up front

  • Proper multi-select filters instead of rigid single-choice logic

  • Filters for things like Ofsted ratings, commute time, and local amenities

  • Results tagged with useful information such as EPC, broadband quality, and storage

  • Simple icons to surface key features at a glance

Nothing complex. Just better use of existing data and clearer logic.


Why this matters


This is a pattern we see all the time.

People aren’t asking for more features. They’re asking for less effort, better defaults, and clearer signals.

At Diverge, this is the kind of work we do every day. Start with a real frustration, break it down into its underlying problems, and rebuild the experience so it works the way people actually think.

71-75 Shelton Street, Covent Garden, London WC2H 9JQ

© 2025 Diverge Ltd. Registered in England No. 15396926, VAT No. 462 1505 18

71-75 Shelton Street, Covent Garden, London WC2H 9JQ

© 2025 Diverge Ltd. Registered in England No. 15396926, VAT No. 462150518

71-75 Shelton Street, Covent Garden, London WC2H 9JQ

© 2025 Diverge Ltd.
Registered in England No. 15396926, VAT No. 462 1505 18