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The client is an iOS app for finding apartments for rent in Kyiv and London with artificial intelligence, used by 230,000 people.
The client came to us with a request to understand why people change their criteria (price, location, interior, etc.) when looking for an apartment and what affects it.
Explore the phenomenon of flexible filters in apartment rentals, by budget, house, apartment or location.
Offer a solution so that people can find what they really need faster
Problem definition, creating research questions and a questionnaire, finding respondents, preparing the script for the interview, interview conducting
Processing of received data, value canvas proposition, voting, prioritization
Making up solutions, hypothesis formation, wireframing
Prototyping, usability testing
We have analyzed which data the manager is responsible for, and which data the editor is responsible for, and divided them into several logical blocks. Now the manager can easily find and change the necessary information
We used the Value Proposition Canvas framework to distribute pains, joys, and tasks and generate solutions for them.
We placed all of our ideas into a table where each team member rated each idea based on its simplicity of implementation and usefulness to people. The ideas with the highest scores were chosen to form hypotheses.
Our solution, while watching the apartment a person opens the guide and goes by the checklist - what should be paid attention to before renting the apartment. That way people will be more confident in their choice.
When searching for an apartment people often change their criteria, especially adjusting the price, raising it by 20-30% higher than the original request.
Our solution, while watching the apartment a person opens the guide and goes by the checklist - what should be paid attention to before renting the apartment. That way people will be more confident in their choice.
For most people, it is important to find an apartment in an area with a developed infrastructure and when renting an apartment they want to understand what is close to it.
Thanks to this solution users will better understand what is nearby, as well as it will not involve other maps when searching and will make a faster decision about renting or looking for an apartment.
When searching for an apartment people often change their criteria, especially adjusting the price, raising it by 20-30% higher than the original request.
Our solution, while watching the apartment a person opens the guide and goes by the checklist - what should be paid attention to before renting the apartment. That way people will be more confident in their choice.
