Nest
Nest is a platform for renting apartments, making it simple for users to discover, compare, and schedule property tours, all powered by AI technology.
Year
2024
Tools
Figma, Maze
Team
Ridin' Solo
Nest
Nest is a platform for renting apartments, making it simple for users to discover, compare, and schedule property tours, all powered by AI technology.
Year
2024
Tools
Figma, Maze
Team
Ridin' Solo
Nest
Nest is a platform for renting apartments, making it simple for users to discover, compare, and schedule property tours, all powered by AI technology.
Year
2024
Tools
Figma, Maze
Team
Ridin' Solo
The Problem
I recently found myself in need of a new apartment after spending several years in my previous one.
Apartment hunting isn't easy, especially in Israel, where only two outdated platforms dominate property listings.
This experience got me thinking about how technology, specifically AI, could revolutionize this process.
The Problem
I recently found myself in need of a new apartment after spending several years in my previous one.
Apartment hunting isn't easy, especially in Israel, where only two outdated platforms dominate property listings.
This experience got me thinking about how technology, specifically AI, could revolutionize this process.
The Challenge
Crafting an AI-powered apartment rental platform with standout features.
Crafting an AI-powered apartment rental
platform with standout features.
0.1 AI Search bar
0.1 AI Search bar
But, before we delve deeper...
Let’s talk about numbers
As I began shaping my idea, I conducted a survey among 12 individuals who recently searched for apartments.
The goal was to understand their habits and pain points, crucial for prioritizing features in this project.
Here are some details about the survey participants:
But, before we delve deeper...
Let’s talk about numbers
As I began shaping my idea, I conducted a survey among 12 individuals who recently searched for apartments.
The goal was to understand their habits and pain points, crucial for prioritizing features in this project.
Here are some details about the survey participants:
Total participants in the survey
🇮🇱 Israel
Location of participants in the survey
Searched for apartments for multiple persons
Moved more than once in the last 10 years
Key Findings
Users pain points
“It is very hard to find an apartment that matches my expectations” - Aviv
“I can’t count the times I addressed the owner and he told me that the apartment is not available any more” - Gal
Unavailable listings
Users expressed frustration with many apartment listings being unavailable.
Comparison issues
There were difficulties in effectively comparing apartment features.
Lack of communication
Users found it challenging to connect with landlords.
Not suitable listings
Many search results included apartments that were not suitable.
Key Findings
Users pain points
“It is very hard to find an apartment that matches my expectations” - Aviv
“I can’t count the times I addressed the owner and he told me that the apartment is not available any more” - Gal
Unavailable listings
Users expressed frustration with many apartment listings being unavailable.
Comparison issues
There were difficulties in effectively comparing apartment features.
Lack of communication
Users found it challenging to connect with landlords.
Not suitable listings
Many search results included apartments that were not suitable.
Key Findings
Users pain points
“It is very hard to find an apartment that matches my expectations” - Aviv
“I can’t count the times I addressed the owner and he told me that the apartment is not available any more” - Gal
Unavailable listings
Users expressed frustration with many apartment listings being unavailable.
Comparison issues
There were difficulties in effectively comparing apartment features.
Lack of communication
Users found it challenging to connect with landlords.
Not suitable listings
Many search results included apartments that were not suitable.
Secondary Research
To gather more data, I conducted online research, exploring literature and articles. This aimed to understand the digital rental market, user needs, and industry practices.
Secondary Research
To gather more data, I conducted online research, exploring literature and articles. This aimed to understand the digital rental market, user needs, and industry practices.
Competitive Analysis
I conducted a detailed analysis comparing Israel's top rental platforms - Facebook Market, Yad2, and Madlan - to identify gaps in the market. Further research on global platforms helped identify potential feature enhancements.
Competitive Analysis
I conducted a detailed analysis comparing Israel's top rental platforms - Facebook Market, Yad2, and Madlan - to identify gaps in the market. Further research on global platforms helped identify potential feature enhancements.
0.2 Competitive analysis
0.2 Competitive analysis
Wireframes -> High Fidelity Design
User Flows
Next, I moved to Figma and began focusing on my priority features.
I started with simple sketches to map out user flows before diving into detailed designs.
Once the wireframes made sense and the flows were clear, I established the foundational elements like colors, fonts, and icons. Then, I created more complex elements as reusable components to design the full screens.
Wireframes -> High Fidelity Design
User Flows
Next, I moved to Figma and began focusing on my priority features.
I started with simple sketches to map out user flows before diving into detailed designs.
Once the wireframes made sense and the flows were clear, I established the foundational elements like colors, fonts, and icons. Then, I created more complex elements as reusable components to design the full screens.
Key feature 01
Find Anything with AI
The AI search bar makes property searches easier by adjusting filters based on user needs. This saves time and provides more accurate apartment options.
Key feature 01
Find Anything with AI
The AI search bar makes property searches easier by adjusting filters based on user needs. This saves time and provides more accurate apartment options.
Popover After Signup
To familiarize users with this unique search feature, a popover appears after signup. Using this feature helps the platform learn user preferences and suggest more suitable apartments.
Popover After Signup
To familiarize users with this unique search feature, a popover appears after signup. Using this feature helps the platform learn user preferences and suggest more suitable apartments.
Key feature 02
Book a Direct Tour
Users can schedule apartment tours without the hassle of messaging owners back and forth. They simply select an available time slot set by the owner and, once approved, can go straight to the viewing.
Key feature 02
Book a Direct Tour
Users can schedule apartment tours without the hassle of messaging owners back and forth. They simply select an available time slot set by the owner and, once approved, can go straight to the viewing.
Key feature 03
Easy Built-in Compare
This feature enables users to compare key apartment features in one view. They can customize the comparison table to their preferences, making it easy to add, remove, and sort aspects for a personalized comparison.
Key feature 03
Easy Built-in Compare
This feature enables users to compare key apartment features in one view. They can customize the comparison table to their preferences, making it easy to add, remove, and sort aspects for a personalized comparison.
a
Saving Methods
Users can save and load comparison methods for future use, making it easier to revisit previous comparisons.
b
Add Properties to Table
Users can add properties from their wishlist directly to the comparison table, simplifying the comparison process.
a
Saving Methods
Users can save and load comparison methods for future use, making it easier to revisit previous comparisons.
b
Add Properties to Table
Users can add properties from their wishlist directly to the comparison table, simplifying the comparison process.
a
Saving Methods
Users can save and load comparison methods for future use, making it easier to revisit previous comparisons.
b
Add Properties to Table
Users can add properties from their wishlist directly to the comparison table, simplifying the comparison process.
Apartment Extra Details
I've chosen to highlight additional minor features in this apartment panel to showcase more helpful AI capabilities.
Apartment Extra Details
I've chosen to highlight additional minor features in this apartment panel to showcase more helpful AI capabilities.
1
Custom tags that highlight more accurate apartments based on user preferences.
2
Indicators show the latest update time of post, signaling their relevance to users.
3
AI identifies key points of interest nearby based on user preferences.
4
AI-summarized neighborhood insights based on comments from users around.
5
AI-generated data indicating property's price in comparison to neighborhood average price.
1
Custom tags that highlight more accurate apartments based on user preferences.
2
Indicators show the latest update time of post, signaling their relevance to users.
3
AI identifies key points of interest nearby based on user preferences.
4
AI-summarized neighborhood insights based on comments from users around.
5
AI-generated data indicating property's price in comparison to neighborhood average price.
1
Custom tags that highlight more accurate apartments based on user preferences.
2
Indicators show the latest update time of post, signaling their relevance to users.
3
AI identifies key points of interest nearby based on user preferences.
4
AI-summarized neighborhood insights based on comments from users around.
5
AI-generated data indicating property's price in comparison to neighborhood average price.
0.3 Extra features
User Testing
To gather feedback and evaluate the product, I created task flows and questions using the Maze application. This helped identify issues and fill gaps in the design.
I iterated the design based on feedback from multiple testing cycles.
User Testing
To gather feedback and evaluate the product, I created task flows and questions using the Maze application. This helped identify issues and fill gaps in the design.
I iterated the design based on feedback from multiple testing cycles.