Zoopla: past tenants reviews

Taking some of that home search stress off.

Exploring an opportunity for Zoopla to make a difference and help their users with the home search further.
View prototype
Background and Challenge
Given my personal experience of moving house 3 times in the last 6 months (in Covid times!) and hearing from friends and family about how painful and frustrating this process cane be, I wanted to explore the opportunity of how to make this process easier and at least a little less stressful.
Zoopla is one of the UK's leading aggregators of property listings data, giving free access to information on 27,000,000 homes, up to 1,000,000 property listings and 15 years of sold prices data.
In 2018, it was bought by a US private equity firm, and half way through the project they launched a re-brand which aims “to support its huge plans for the product and digital experience."
Given Zoopla’s continuous growth, I took on a challenge to help their users with the home search and advance the opportunity for Zoopla to make a difference for their users.
High level goals
1) Design a new property search management feature that embeds within the current Zoopla website and their design.
2) Design additional feature that could enhance user experience of finding a property that fits their criteria.
3) Improve IA and navigation

Timeline
4 weeks, 80 hours of work
Team and Role
Self-directed as a solo UX designer.
Note that this is a conceptual project.
Getting as many general insights as possible
I experienced moving houses a lot, and so did my friends. And it has always been a daunting process but I didn't know how people approached the search, where their journey began and what mattered to them so I dived into the research to learn all about that.
I started by surveying friends and family who live in the UK to learn more about general moving house habits and the reasons behind the move.
My initial assumptions were around lack of information and clear picture about the property which were validated as 44.8% of participants did not find the information they needed on the search website.
"Frustrating to not know the neighbourhood and having to then do lots of research around particular streets and amenities."
"Our current flat has a lot of problems. We wouldn’t have taken it and the landlord would probably have to have sorted it out if the previous tenants were able to leave a review."
"It would be great to bring some more independent information, as currently it's entirely one-sided from the agency/landlord's perspective."
Participants
Age: 26-42
Location: UK
Criteria:
- Moved houses at least once
- Uses online search to find a new house
- Located in the UK
Surveys: 31; Interviews: 6
Understanding why and how people move houses
Once I had the qualitative data, I continued with in-depth interviews to discuss the suggested feature list to understand the motivations behind the choice and how/why the chosen feature is going to help the users.
Check full interview guide.
What I did not anticipate is that users have no control over response time and viewings, leading to difficulties when trying to keep track of appointments.
"Most annoying: when you find a property and can't contact directly who is offering (filling a form and wait to be contacted)"
"I can't contact directly who is offering"
"I hate that I have to contact estate agents individually to arrange viewings."
Persona: Meet Laila
Following user along the Customer Journey Map
To visualise the process of moving houses, I mapped out the user journey and shadowed the user along the way. With the clear idea of what stages the user faces hurdles at and what causes these hurdles, I created the list of opportunities.
Frustrations😫 and How Might We Help🚀
Agencies don’t mention enough details to get a sense of how spacious/modern/loud/safe the place is, what the bills and other extra costs are.
  • Ratings/reviews from those who have already viewed properties to avoid wasting time commuting to a property which is not suitable (because there was lack of pictures/information).
Not able to find information about the area, so would either drive around or stay in the area to get a feeling of it.
  • Star system from previous tenants on general objective information (noise, warmth, neighbours, space, problems with an accommodation, response from a landlord).
Having to do their own research via Google and Google maps to find information about supermarkets and other necessities in the area, public transport links, safety of the area
  • Additional map labels to provide more visual information about amenities.
  • The area section - curated content by Zoopla or users.
Hard to book viewing appointments and keep track of all the information in one place
  • Instant booking system with a confirmation, property details, route, and visual reference to a place.
  • Profile with interests/work/hobbies/ projects
  • Profile section with favourite content.
Having to wait to hear back from the agency to make an appointment.
  • Alerts if the saved property is no longer available.
  • Alerts if the viewing is cancelled.
Flowing to find a property and leave a review
I mapped out the user flow which includes property search, extended profile with viewings and a flow to write a review.
Defining features
Having analysed solutions and constraints, I prioritised:
Reviews from previous tenants
Introducing the feature
To introduce the new feature, I decided to include a pop up to explain why and how the features helps them in their search. I kept it short, though.
Enhanced map
added labels to show the most important amenities based on research findings - this additional feature didn't take long to design but aims to help users to see immediately what's available in the area, which was another very common pain mentioned by 80% of the interviewees.
Review section
Overview of the property, the agency and the area visualised via sliders, followed by detailed reviews by the users.
The neighbourhood
This section gives the users a sense of what the area is like by pulling the relevant information from Google and by introducing tags to reviews
Booking and managing a viewing feature
Simplicity and ease is key here - I wanted to take at least some of that home search stress and frustration away!
Tools to reduce cognitive burden:
  • confirmation email with visual information to help users remember what properties are booked for viewings;
  • adding to Google Maps feature for automatic route building saving;
  • easy managements tools to cancel/change dates.
Writing a review feature
When I started designing the review form, I went back to my interview scrip and realised that quite a few mentioned that they often wasted their time commuting all the way down to the viewing only to realise that it is not suitable. The reason: the property looks nothing like the advertised photos.
"What I dislike about the moving process is that it massively time-consuming - I waste my time commuting to a place which looks different."
"Details and pictures are not clear so you’d have to go in and check and waste time because the flat was not representable."
With that in mind, I decided to include a separate review form for those who viewed a property.
Usability testing overview
Goals
Key takeaways
High Priority Iterations
Release 2.0 features
If I was to take this project further, I'd consider exploring the following insights:
I'd continue testing various test input variations to find the most straightforward way to encourage users to leave reviews. Some explorations are:
Final prototype
Reflections and Learnings
Tedious problem space does not mean tedious solutions
I realised that often we don't need to go far to find the most painful problems. Being able to follow users along on their journey worked as a powerful method to uncover the exact points they start struggling.
Consider both sides
Since this is a hypothetical project, I focused solely on type of end users - the tenants; however, in reality, if I was to work with Zoopla, I'd need to consider business goals and other user type (eg agents who utilise Zoopla) to find the most suitable solutions and make best decisions.