About the project
iListing AI has developed Easylist - a platform that leverages advanced AI, mobile technology, and cloud services to automate the inventory inspection process. Easylist makes inspections quicker, more accurate, and significantly more cost-effective, providing a user-friendly interface that simplifies the inspection process for various stakeholders in the real estate industry.
Simplified Property Inspect, Amplified Results with AI
Property management
6 months
London
App store rating in 6 months through a partial redesign
2024
IOS（Inspecti）
Agile develop
Prototype
Inspection with AI
Competitive Analysis
Inventory
Inspection
intelligent
Tradition
Client
Management
Inventory base
Neuralspect
Inventory hive
Quest1: Critique
Business canvas
Revenue streams
-Subscription Fees: Charge customers a recurring subscription fee.
-Enterprise Licensing: Provide customized licensing agreements for larger customers, such as real estate agencies or property management firms, who require access for multiple us
-Customization and Integration Services: Charge fees for customizing the platform to meet the unique needs or for integrating the platform with their existing systems.
-Data Insights and Analytics: Offer premium features or add-on services that provide advanced data analytics and insights
Key partners
-Agency like Savills UK, Knight Frank have operations to manage their properties and provide their clients inventory report to complete a letting.
-Inspection companies such as InventoryFlex, Snagging Eye, Clearway, and Homesnage specialize in conducting thorough and professional property inspections, ensuring meticulous attention to detail.
-2.6 million landlords in the UK are required to submit reports to reduce tenancy disputes.
-18million Airbnb With a 25% demand for check-out reports
Key activities
-To enhance inspection efficiency
-To ensure the correction of the inspection
-Enhance report delivery by incorporating the resources provided by users, such as photos.
Key resources
-Image Recognition and Processing;
-Data Analysis and Prediction;
-Natural Language Processing and Generation;
-Cloud service
Cost structure
-Development Costs: The initial investment in developing the AI algorithms.
-Infrastructure Costs: Expenses related to hosting the SaaS product on cloud servers.
-AI Model Training Costs: Costs about training and fine-tuning the AI models.
-Maintenance and Updates.
-Marketing and Sales: Costs associated with marketing.
-Integration and Customization.
-Scaling Costs :Expenses related to the customer base grows.
Channels
-An on-site app to collect image data
-A dashboard to conduct report and manage customers
Customer relationships
-Best technology support allow clients to complete their inspection.
-Efficient AI recognition replaces manual input of inspection information.
-Email/phone communication that build-in support channels on our Saas products.
Customer segments
Bussiness clients(main):
-Real estate agents with property management services.
-Inspection companies.
-Home insurance companies.
-Financial Institutions providing mortgage loan.
Individual clients:
-Individual landlord.
-Home buyers and sellers
About the industry
1
About the products
1
About the User
1
Market Potential
The problem we are solving in this industry
Financial Savings
Need for Fair
and Transparent
Rental Service
Regulatory Support
Deposit Protection Policy
since April 2007
Technology-Driven Innovation
AI Image Recognition Technology
Expanding Rental Market
Thoroughness
Accuracy
Impartiality
Transparency
Fairness
Efficiency
....
Our project not only aligns with current market demands but also possesses substantial growth potential. By continuously improving service quality and technological capabilities, we are confident in achieving greater success in the future rental market.
About the industry
1
About the products
1
About the User
1
About the industry
1
About the products
1
About the User
1
Consistency: AI maintains stable standards, eliminating human variations like fatigue or bias.
Efficiency: Minimizes labor-intensive editing tasks in complex inventory checks.
Scalability: AI adapts to handle large volumes, perfect for high-throughput manufacturing.
Cost-effectiveness: AI reduces waste and manual labor expenses.
Strength
The policies are increasingly regulating the rental market, demanding transparency and fairness in property information for both landlords and tenants.
A reliable inventory check is crucial for building trust between property agents, landlords, and tenants in letting services.
There are numerous user segments with specific needs and high demand for features that are currently lacking.
Users are seeking more efficient and cost-effective inspection methods.
Opportunities
In various regions, there are numerous competitors with comprehensive features already in place.
Users have established trust in the competitors.
Users in key market segments, outside the tech industry, may be considered less familiar with AI, resulting in a higher learning curve and lower tolerance for complexity.
Threads
Limited On-site Usage: Technological constraints may impede the real-time use of video recording during on-site inspections, potentially extending the duration of on-site work.
High Quality Image Requirement: Due to the reliance on images instead of video recordings, there's a need to elevate the quality standards for collected image data.
Weakness
Insights
Business Strategy
Persuasive Onboarding Approach
Highlight the benefits of the product, and guiding users through the initial stages of adoption.
Encourages long-term engagement.
Transparency Measures
Demonstrate the Inspection AI solution's scalability relies on consistently high-quality data.
Provide data-backed insights and real-world case studies can strengthen trust and credibility in the AI product.
Acceptance
Trust
Business Obstacle
Many users, particularly those unfamiliar with AI, may exhibit reluctance in adopting the product, posing a significant obstacle to its market penetration and acceptance.
Convincing users to trust our AI product's solutions while also helping them improve efficiency and save costs.
As a preliminary product following the MVP stage, we have targeted our user base towards property leasing agents and individual landlords. Detailed interviews were conducted with them to derive the following personas.
Defining User Persona
Sally Whitely
London, United Kingdom
Landlord
10 years
Pain Points
-Complicate remote handover.
-Landlord-conducted inventories may be disfavored by deposit schemes due to their lack of standardization and fairness.
-Costly expenses for hiring inventory clerk.
Goal
Simplify remote handover procedures to enhance efficiency and effectiveness.
Establish a standardized and equitable inventory documentation process.
Provide affordable and tailored inventory services for individuals, ensuring cost-effectiveness while maintaining quality and accuracy.
Ave Calvar
London, United Kingdom
Real Estate Agent
5 years
Pain Points
-Inspection task management
-Scattered data and messy image information
-Time-consuming paperwork
Goals
Instant access to upcoming property inspection documents
Orderly classified photo data
Sorting AI autofill and document templatesthrough technical issues.
Product redefine
1
Ideation
1
Quest1: Think
Product redefine
1
Ideation
1
The MVP exhibits significant deficiencies in both functionality and user experience. After meticulously summarizing and analyzing the prevailing product issues, with a keen focus on UX-related aspects, we proceeded to conduct an in-depth analysis and redefine the product.
User task completion rate
20%
Improved 50%
Only 20% of users managed to finish task which is sync data from app to dashboard, and none of the user managed AI inspection.
User friendly interface and navigation
10%
Improved 70%Click Heat Maps:
90% of users were misled by the call-to-action (CTA) and navigation within the product
Business efficiency
40%
Under evaluating...
40% of users contacted your team after using the product and expressed strong interest in future updates, indicating eagerness to subscribe.
Metrics
Efforts
Reverse engineer of the MVP( App and dashboard).
Evaluation the user process and reviewing user feedback
Sorting through technical issues.
Developing an action plan base on the participants’ observations.
Participants
Led by the product manager, the team includes product designers, front-end developers, the consultant, and the AI specialist.
In-depth MVP evaluation
Clerical
AI inspection
Clients Management
Onboarding
AI Detect
EasyList-Office
EasyList-Site
Clerical
Data collection
Client management
Before
Providing the same functionalities across different platforms
After
Highlighting the unique features and functionalities specific to each platform.
Easylist product ecosystem
As a crucial component of the EasyList AI inventory check system, it is essential to tailor EasyList Site for on-site usage, emphasizing essential functionalities that deliver relevant information promptly and reliably. EasyList Site is designed to streamline task management, information collection, and preliminary categorization for users on the go.
Product Redesign Goal:
1
Streamline the process for users to efficiently collect categorized image data necessary for report generation.
2
Ensure seamless information synchronization between Easylist Office and the site, enabling smooth data flow to and from both locations.
3
Support the acquisition of high-quality data conducive to AI learning
Assess redesign goal
2
3
1
Efforts
Impact
Demo
For agile development and product iteration, we prioritize data review, with AI inspection as a supplementary feature in Easylist On-site.
Component
Large
Particular
Prompt
Primary
Secondary
Minor
Quest1: Make
Low fidelity
Easylist on-site
Easylist office
Property information
Image data
Information Architecture
With the launch of Easylist's new product ecosystem, we reimagined the information architecture and user journey to ensure a seamless and intuitive experience across all platforms.
Core Userflow
Capture and categorize Inventory
Synchronization
-
Onboarding
User Accounts and Profiles
Settings and Customization
Support and Resources
-
Manage subscrition
AI inspection
Generate reports
Track inspection
Grid
Mobile - 393
Grid System
Mobile
Desktop
393
Artboard
4
Columns
Center
Type
0
Offset
24
Gutter
71
Width (column)
345
Main container
The grid system is the foundational structure of our design, we keeped it clean and balanced.
Grid
Grid
Desktop - 1440
Main user flow
Quest1: Check
Property
>>
Location
>>
Items
/Highlight1
A three-tiered structure organizes the interface, with subordinate folders guiding intermediaries using our product in inventory inspection to ensure comprehensive data collection and avoid duplication of effort.
Header Section
Informational hub
Subfolders Section
Manage and organize content hierarchically
Completion Section
Mark complete and proceed
Clear Hierarchy
Concise Description
Brief Tags
List of Subfolders
Editing Options
Complete Button
Place the buttons at the bottom of the screen to make them easily accessible.
Add a confirmation dialog when completing the process to prevent unintended actions.
Place the buttons at the bottom of the screen, to make them easily accessible.
Highlight parent folder and help to navigate back. Showcase the description and tags concisely.
-Onboarding
-Capture and Categorize Inventory
Easylist on-site
Picture Data Collection
Challenges
When users are on-site, although our product has improved the efficiency of their inventory inspections, it has led to issues with items being easily missed and improper shooting angles.
Key Solution
To guide users in collecting complete image data using subordinate files, we can create a detailed step-by-step guide. This guide will help users understand what data needs to be collected, how to structure the subordinate files, and how to ensure completeness and accuracy in the image data collection process.
Solution highlights
/Highlight2
Provide standard guidelines for shooting angles, ensuring that photos of each item are focused, clear, and taken from multiple perspectives.
Data review
AI inspection
/Highlight3
Review the image data functionality and regularly gather user feedback to understand specific issues encountered during on-site use.
For agile development and product iteration, we prioritize data review, with AI inspection as a supplementary feature in Easylist On-site.
Data review + AI inspection
Collect data feedback
For completed inspections, all files will be archived under the "Reports" menu. Here, you can manage report files, sync data to dashboard, view, download, and share generated reports from Easylist Office.
Sync Data
AI inventory
gif to show different files
Challenge1: Quick Review, Easy Generate
On Easylist office the challenge lies in creating an interaction method that allows users to swiftly and efficiently review information, as AI now handles most of the inspection work, shifting the user's focus to review and modification.
Modify and testing simplify user follow with usability testing for agile develop. In this project we
Goal
Functionality: Quick access for reviews.
User Experience: Less click.
Agile Development: Modular and simplified design.
Insight
An intuitive and efficient interface where users can easily access and manage inspection reports: hovering over a folder will display brief inspection details, while clicking on the folder will provide access to comprehensive information and additional functionalities.
Icon
Title
Options
Last edit
Number of pictures
Bedroom
Complete
14/03/2024 6:30pm
Solution and outcome
Hover
Click
Click Heat Maps
We use click heat maps to achieve easy development while ensuring a great user experience.
To create an intuitive and efficient interface where users can easily access and manage inspection reports: hovering over a folder will display brief inspection details, while clicking on the folder will provide access to comprehensive information and additional functionalities.
1
Quick Review
2
Generate a report using templates.
User corrections and feedback were fed back into the AI model.
Correct any errors made by the AI, provide feedback, and make necessary modifications.
Performed initial inspections,
Review AI-generated inspection results.
Flagging items that require further review, highlighting errors, and suggesting possible additional information.
3
Error clarification
Added a button that allows users to stop and restart the inspection, ensuring that the AI inspection occurs only after the user has confirmed all image data.
Inspecting
Completed
User journey
Artificial intelligent
Provide image data.
Sycned from easylist on-site or upload from your device.
2
Inspection control button
Clicking on the image allows for a quick view of the corresponding inspection results.
1
Quick viewing
Prompt guidance on how to assist AI in conducting inventory inspections.
Insight
Through understanding and addressing the issues identified during checks, I successfully achieved substantial improvements in metrics with relatively straightforward development efforts. Task completion rates reached 100%, and both response and completion times were notably enhanced by improving AI integration and user interaction design.
Demo : using our ai model to generate a inventory report.
After conducting usability testing with the demo we developed, we evaluated the metrics related to the user flow, specifically focusing on generating a report that synchronizes images from Easylist on-site and those uploaded from the user's device.
Defined Key Metrics
60%
Task completion rate
45%
Error rate
90%
Findability
Response Time
36s
Session Time
120s
Easy Ignorance of Inspection Errors
Errors in the AI-generated results are easily overlooked before generating reports, potentially leading to inaccurate submission.
Inspection Control Missing
The system automatically re-generates results each time image data is updated, causing lag and a non-smooth user experience.
Risk of Accidental Overwrite, Deletion.
Overwrite or delete previously modified or edited information, leading to potential data loss and workflow disruptions.
Problems:
Difficulty Information Managing
The extensive data volume makes it challenging for users to efficiently locate specific information or existing issues.
3
1
4
2
3
After evaluating the metrics and user flow, we identified the following issues with the demo.
Challenge2: Collaborative Learning
In our design, we implemented features that facilitate collaboration between users and our trained AI model system.
Implemented a popup to prevent accidental user actions and inadvertent overwriting of edited information, boosting workflow efficiency
-
Solution:
1
Quick viewing
2
Inspection control button
3
Error clarification
4
Confirmation dialog
2
Inspection control prompt
2
Confirmation dialog
Quest1: Final Design
Other pages
Login/ onboarding
Profile
