Property location research tool
Background
To adapt to the fiercely competitive market, when the real estate market is not prosperous, we are looking for opportunities with competitive advantages. And increasing user conversion, retention. We started thinking about how to provide personalised services to our users.
Challenges
The biggest challenge is how to slice a big concept into small pieces. And make all the piece work. It requires constant experimentation and user validation research.
My role in this project
As a lead product designer, I closely worked with the product manager, developers on problem defining, ideation and project planning. Creating hi-fi wireframes/prototypes and running usability testing.
User needs
View what's nearby
In the user interview, we found that many buyers or tenants consider lifestyle as a decisive fact when searching for properties. They want to see if there are any nearby coffee shops, gyms, schools, shopping centres...
Understand how far from those lifestyle POIs to the searched property.
Add your locations
On the map of each property listing page, we provide the user with a place that they can add their locations. It will let them view the distance and commutes time between their added locations to every searched property.
How do we decide whether to proceed to the next step?
Promote the new feature.
Questions we asked before next phase
-
How many users added their locations?
-
What type of locations did they add?
-
How long did the new feature help to increase the session duration?
-
Increased retention and conversion rate?
Track the usage data.
By answering the above questions, we can clearly understand whether the user needs this new map feature.
Knowing the location type will help us to understand the location types that user wants to search.
Promote the new feature and experiments
GOAL: We want to have minimal improvement but get higher discoverability of the new features.
SOLUTION: We have four designs to promote the new feature. To test the best the solution we ran experiments. We displayed four different variations to 4 different testing groups.
RESULT: Variation 4 has more click rate. Increased 51% click rate at the end. The variation 4 has given the user commutes example with pop-up transitions to catch eyes and build aspirations.