Room searching experience

UX Case Study

Client

IADT – Daft.ie

Timeline

Dec ’24 – Jan 2025

Worked Along

Olgu Saglik

My Role

UX Design

Project Tools

Girl in a jacket
Girl in a jacket
Girl in a jacket

Girl in a jacket

Project Overview

This case study investigates Daft’s user experience, Ireland’s leading real estate platform, focusing on the mobile app’s shared accommodation search process.

Primary Research Question
At the heart of our research is a primary question: How can we improve the UX of Daft.ie app to better meet the needs of users searching for shared accommodations?
Important Note

This project was developed as part of our coursework for the Institute of Art, Design and Technology.

OUR APPROACH

Design Thinking

Empathise

01

Understand users’ current
experiences
"
Define

02

Design opportunities emerged

"
Ideate

03

The more ideas,  the better!

"
Prototype

04

Developing solutions to user problems

"
Testing

05

Validating our design solutions

"

Empathise

Competitive Benchmarking

Our first step was to compare Daft.ie with other competitors regarding its functionality, usability, and effectiveness. We analysed two direct competitors from different countries for a broader perspective: SpareRoom US and WG-Gesucht.

Key Findings

Search Flow

Competitors use a search flow with which users are familiar: users begin their search by entering the location. In contrast, Daft.ie has a less intuitive flow since it forces users to set their filters first.

Filtering Options

The competitors provide users flexibility and efficiency over their search through filters, allowing them to narrow their search based on various conditions. SpareRoomUS filter design particularly stands out with in-depth filters, such as criteria for housemates’ age, gender,
employment, smoking and even diet styles.

Detailed Room View

Moreover, competitor apps present room listings with greater detail. They organised
information into categories and incorporated icons for easier comprehension and recognition.

Competitive Bencmarking SpareRoomUS and WG-Gesucht
How competitors approached the problem: snippet of search results
Spare Room US filters
WG-Gesucht Room View page

Heuristic Evaluation

All three platforms had a similar final result, showing weaknesses in four and strengths in six of Nielsen’s heuristic principles.

Key Findings

Match between system and the real world
Both Daft.ie and its competitor WG-Gesucht showed areas of improvement in the ‘match between the system and
the real world’ due to confusing terminology.
Accessibility Issues
All three apps have accessibility standard issues due to low contrast.
Recognition rather than recall
Daft.ie has confusing categories that force users to think what they mean each time.

User Interviews

User InterviewsAfter Grouping

Key Findings

Looking for information about housemates
All seven participants sought detailed information about their future housemates, particularly their personalities, routines and schedules.
Current User Experience
Four out of seven participants shared that searching for shared accommodation was a stressful experience.
Pain Points
Regarding the pain points, four out of seven participants shared that they were
confused about contracts and conditions in their previous experiences, and the same portion expressed frustration when the price does not include additional costs such as bills.

Usability Testing

Main pain points

Confusing Search

The first touchpoint confused users. Users did not expect to set the filters page before their desired property location. Additionally, the location input could be more discoverable following the visual hierarchy to stand out to users.

Inefffective Filters

Another highlighted weakness regarding filters was search categories. Categories have similar terminology, such as Share and Student Accommodation Share, which caused confusion. After choosing Student Accommodation Share, the “Location” input changed to College”, further confusing users.

Missing/confusing Property Information

Users generally prefer detailed listings, as this helps them save time when making comparisons. Contrarily, unclear and poorly described listings were less appealing and led users to skip those listings. Additionally, users expressed frustration regarding pricing, particularly bills and pricing schedules

Define

People First

Based on our research, we developed design artefacts to connect better with the people we are designing for. We aimed to  understand their situations and needs before we start designing.

While all identified issues are important, we prioritized to solve issues regarding the search flow and filtering options.
Because these experiences:

  • could lead to early abandonment
  • affect the overall user experience
  • are intial touchpoints
Persona - Leah
Empathy Map
Scenario

Students/young professionals have problems with confusing search and inefficient filters when searching for a room on Daft mobile app

Ideate

The more ideas, the better!

Once we defined where to focus our efforts, we got inspiration by what’s out in the world. We searched the internet for relevant examples of how others have approached the same issue (search and filter flows).

Lightning Demos

Crazy 8’s

We completed Crazy 8’s to boost brainstorming and creativity. This exercise helped us clearly communicate our ideas which we later presented and dot voted for the ones we think would work best.

Paper Prototype

Paper Prototype

For our final sketch, we converged ideas from voted sketches into one final sketch.
We agreed on the following:

  • Chunking for clarity
  • Remove external links
  • Prominent search bar
  • Familiar terms
  • Added filtering options
  • Relevant content (e.g. user clicks on share – tips for sharing)
Paper Prototype

Prototype

First Prototype

We initially placed filters within an expandable accordion, but this design required multiple clicks and did not display all available options, which could negatively affect the user experience. We added a minimum price option to the price slider to improve usability and moved the toggle to the right for better accessibility on mobile devices.

Paper Prototype

Comparison of Existing App and Our Prototype

Daft.ie

Daft.ie mobile app

First Iteration

Daft.ie mobile app

Testing

Usability Testing Objectives

1. Assess Task Success

Can our users successfully complete given tasks during usability testing?

2. Evaluate Usability

Use the System Usability Scale (SUS) to measure users perceived ease of use of the search and filters

3. Understand User Experience

Use UEQ-S to gain insights into both the pragmatic and hedonic aspects of the redesigned app.

4. Identify Design Opportunities

Observe user behaviour to identify areas where the search and filters could be improved.

Usability Testing Insights

Once we established our research goals, we prepared a Screener + Consent form + Usability testing Script. With everything in place, we completed a round of testing with our prototype.
The insights revealed that our prototype scored high on the system usability scale and task success rate.
User experience questionnaire revealed that participants value this prototype as pragmatic (supportive, easy, efficient, clear). However, the redesigned app’s hedonic (exciting, interesting, inventive, leading edge) aspects were borderline positive.
Usability Testing Insights -  SUS + Task success
Usability Testing Insights - UEQ shorter version
Usability Testing Insights - comments
Usability Testing Insights - overall

How could we make searching for accommodation more innovative and fun….?

  • Create a Quiz for more fun room searching ?
  • Implement Housemate match ?
  • Create AI assistant feature ???

Final Iteration

We voted for implementation of the AI search feature, as we felt it was feasible to implement and could be the most effective tool to help people find rooms.

Key Changes

AI Search Assistant

This feature, inspired by the Zalando e-commerce app, aims to enhance the hedonic aspects of our redesign. Additionally, we believe it would help users narrow down their choices and simplify decision-making.

AI Search Button

Added AI search button with a tooltip to ensure users understand its functionality.

Category Labels

Increased font size to improve readability.

Filters
Improved the visual hierarchy by adding padding to filter titles. Additionally, more facilities were incorporated as chip components with icons for visual aid.

Medium Fidelity Prototype

Thank you for your time!

Let’s work together