Tinderized Home Search — Transforming browsing into a guided, intuitive journey

UX/UI DESIGN
COMPANY

Real Geeks

ROLE

Product Designer

EXPERTISE

UX/UI Design

YEAR

2024

The Problem

The Problem

Traditional home search UIs often feel mechanical — endless filters, dense grids, and transactional interfaces that push cognitive load onto the user. Instead of helping people discover the right home, many platforms force them into a spreadsheet-like journey.

This leads to:

  • Decision fatigue

  • Low emotional engagement

  • Drop-off during discovery

  • Unclear signal about true user preferences

Yet we know from other industries (like dating apps) that simple, intuitive decision loops can reveal user intent quickly — while keeping the experience feel light, personal, and enjoyable.

The Concept: Swipe-Based Discovery

The Concept: Swipe-Based Discovery

I introduced a swipe-based, gamified experience modeled after dating interactions — a lighter, more emotional way to help people express preference and discover homes without wading through filters.

The swipe model would:

  • Turn browsing into an intuitive gesture

  • Give users a sense of momentum, not overwhelm

  • Improve signal quality by capturing real-time preference data

  • Create a more joyful and continuous narrative through the home discovery journey

  • Help the platform refine and personalize listings automatically

This was not a novelty feature — it was a UX reframing of how people choose homes.

  • Intelligent SWIPING

    User swiping algorithms analyze user preferences, to generate a curated home list.

    Weather app image
  • ACCURATE RESULTS

    Avoid the endless scrolling through irrelevant properties on a typical home search. Only view homes that match your filters.

    Weather app image
  • SEAMLESS MULTITASKING

    Ready to take the next step? Easily schedule a home tour while swiping through more homes.

    Weather app image
  • ACCURATE RESULTS

    Avoid the endless scrolling through irrelevant properties on a typical home search. Only view homes that match your filters.

    Weather app image
  • Intelligent SWIPING

    User swiping algorithms analyze user preferences, to generate a curated home list.

    Weather app image
  • ACCURATE RESULTS

    Avoid the endless scrolling through irrelevant properties on a typical home search. Only view homes that match your filters.

    Weather app image
  • SEAMLESS MULTITASKING

    Ready to take the next step? Easily schedule a home tour while swiping through more homes.

    Weather app image
  • ACCURATE RESULTS

    Avoid the endless scrolling through irrelevant properties on a typical home search. Only view homes that match your filters.

    Weather app image

Constraints

Constraints

This project originated as a single-day timed workshop challenge:

  • Only 8 hours from ideation → prototype

  • No engineering resources

  • Must fit within existing brand and product foundations

  • Required high-level clarity and compelling storytelling for stakeholder buy-in

The goal: Produce something innovative enough to excite leadership, yet feasible enough to integrate into our real product roadmap.

Design Strategy & Process

Design Strategy & Process

1. Opportunity Framing

I started by identifying emotional and functional gaps in the existing search journey:

  • Overload from dense lists

  • Lack of personalization

  • Motivation drop-off

  • Users feeling the experience was work, not discovery

These insights came from recent customer feedback surveys, highlighting a widespread appetite for a more human and intuitive search flow.

2. Rapid Brainstorming & Alignment

In a small workshop team, we collaboratively explored:

  • Alternative mental models for search

  • Patterns from motivational and gamified UX

  • Ways to simplify action loops without hiding necessary information

From this, the swipe model emerged as the strongest contender.

3. Low-Fidelity Exploration

To avoid over-investing in visual polish too early, I sketched out:

  • Swipe card interactions

  • Preference capture moments

  • Empty states and edge cases

  • How the system learns and adapts

  • “Just enough” detail to test usability quickly

These sketches formed the backbone of the interaction pattern.

4. Iterative Mid-Fidelity Prototyping

I progressively refined the prototype around:

  • Information hierarchy (what matters most in a single-card view)

  • Consistent swipe logic

  • How to reveal detail without breaking the simplicity

  • How filters could expand in future versions

I aimed for a balance of visual calm + high clarity + emotional momentum.

5. Stakeholder Feedback & Real-World Insight

Two months later, I presented the concept at the Real Growth Summit in Dallas.

I tested the prototype with top agents — gathering feedback directly on what mattered most to them:

  • The level of detail shown on the swipe cards

  • What signals were valuable to them as agents

  • What buyers need to feel confident

  • Where the feature should live within the larger ecosystem

Their insights influenced updates to:

  • Feature prioritization

  • Data surfaced per card

  • Placement of “need-to-know-before-swiping” info

  • Next steps for future refinement

This validation step turned a workshop concept into a viable product direction.

Outcome

Outcome

The Tinderized Home Search concept delivers:

  • A fun, light, emotionally engaging way to browse homes

  • Personalized results that improve with each swipe

  • Lower cognitive load and fewer dead ends

  • A smoother path into deeper exploration and decision-making

And most importantly — it reframes home search as discovery, not work.