Zillow Research - Detailed Review
Real Estate Tools
Zillow Research - Detailed Review Contents
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Zillow Research - Product Overview
Zillow Research Overview
Zillow Research is a pivotal component of Zillow’s offerings, focusing on providing unbiased and transparent data analysis about the housing market. Here’s a brief overview of its primary function, target audience, and key features:Primary Function
Zillow Research is dedicated to offering comprehensive and accurate data and analysis on the housing market. The team works independently of Zillow’s business goals, ensuring that the research is not influenced by revenue objectives. Their main goal is to provide reliable insights that can be used by various stakeholders, including researchers, policymakers, and the general public.Target Audience
The target audience for Zillow Research includes academic researchers, non-profit organizations, government agencies, and anyone interested in detailed housing market data. This encompasses a broad range of users who need reliable and transparent information to make informed decisions or conduct research.Key Features
- Unbiased Data and Analysis: Zillow Research ensures that all data and analysis are presented in an unbiased manner, with a clear explanation of the methodology used. The team also makes the underlying code and data available whenever possible to allow for independent replication.
- Transparent Data Sources: The research team is open about the sources of their data and the potential issues that may affect data quality. They benchmark their findings against external datasets to ensure accuracy and context.
- Comprehensive Datasets: Zillow Research leverages a wide range of data sources, including the Zillow Transaction and Assessment Database (ZTRAX), credit bureau TransUnion, the U.S. Census Bureau, and the Bureau of Labor Statistics. This integration provides a comprehensive picture of the housing market.
- Consumer Housing Trends Reports: Zillow Research conducts extensive surveys, such as the Consumer Housing Trends Report, to gather insights on prospective buyers, renters, sellers, and other market participants. These reports help in identifying trends and patterns in the housing market.
Zillow Research - User Interface and Experience
User Interface
The Zillow Research section, such as the Zillow Home Value Index (ZHVI) methodology page, is part of a broader suite of tools aimed at providing detailed and accurate real estate data. Here are some key interface elements:
Data Presentation
The interface is designed to present complex data in a clear and accessible manner. For example, the ZHVI methodology page uses detailed explanations, graphs, and tables to illustrate how the neural Zestimate is calculated and how it reflects market changes.
Home Detail Pages
While not exclusively part of the research section, these pages are crucial for users seeking detailed property information. They include features like listing descriptions, extracted Home Insights tags, and AI-powered elements such as Personalized Home Recommendations and Listing Showcase.
Interactive Elements
Tools like ProtoPie are used by Zillow’s designers to create interactive prototypes, such as the Search Results Map Page and Home Details Page. These prototypes allow for testing and feedback on features like photo carousels and property card scrolling within the map view.
Ease of Use
The ease of use is a significant focus for Zillow’s user interface:
User-Centric Design
Zillow’s design approach emphasizes simplicity and usability, especially for a diverse user base including different age groups. The interface is designed to be intuitive, with features like a redesigned home page that minimizes search time and provides clear navigation options.
Feedback and Testing
Zillow engages in extensive user testing and feedback collection to ensure that the interface meets user needs. Tools like ProtoPie enable designers to test prototypes with both internal and external users, which helps in refining the user experience.
Clear Navigation
The interface is structured to guide users through different sections, such as the home page, map view, and agent pages, making it easier for users to find the information they need.
Overall User Experience
The overall user experience is centered around providing a seamless, informative, and engaging interaction:
Humanized Approach
Zillow aims for a humanized and simple approach to UI/UX design, which helps in customer acquisition and retention. The interface is designed to be friendly and dynamic, with features that encourage users to recommend the app to others.
Real-Time Data
The use of AI, such as the neural Zestimate, ensures that users have access to accurate and up-to-date real estate data. This enhances the user experience by providing reliable insights into property values and market trends.
Experience Measurement
Zillow has an Experience Measurement program that captures and quantifies user experiences across various touchpoints. This program helps in identifying what makes for a good experience and in making informed design and business decisions.
In summary, Zillow’s user interface in the research and AI-driven product category is designed to be user-friendly, informative, and engaging. It leverages AI and extensive user feedback to provide accurate and up-to-date real estate data, ensuring a positive and effective user experience.
Zillow Research - Key Features and Functionality
Zillow Research Overview
Zillow Research, a component of Zillow’s real estate tools, incorporates several key features that are enhanced by AI and machine learning. Here are the main features and how they work:Zillow Home Value Index (ZHVI)
The ZHVI is a metric that measures the typical home value and market changes across different regions and housing types. It is calculated for various categories, including all single-family residences, condos/coops, and homes with 1, 2, 3, 4, and 5 bedrooms. Starting from January 2023, the ZHVI has been upgraded to use the neural Zestimate, which is an AI-powered valuation model. This upgrade improves the accuracy and reliability of home value estimates.Neural Zestimate® Valuation
The Neural Zestimate is an AI-driven home valuation model that provides estimated property values. This model uses advanced machine learning algorithms to analyze a vast amount of data, including public records, user-submitted data, and real estate listings. The neural Zestimate is more accurate and responsive to market changes compared to traditional valuation methods.Home Value Forecast
Zillow’s Home Value Forecast, which predicts future home values, is now based on the upgraded ZHVI that uses the neural Zestimate. This forecast helps users anticipate market trends and make informed decisions about buying or selling properties.Sales Count Nowcast and Transaction Data
Zillow Research provides weekly and monthly data on sales counts, sale prices, and total transaction values. This data is updated on the 15th of each month and includes metrics such as the Sales Count Nowcast, which estimates the number of sales for the previous month. This information is crucial for real estate professionals and researchers to analyze market activity.AI-Powered Search and Recommendations
While not exclusively part of the research section, Zillow’s AI-powered search features are closely related to the data provided by Zillow Research. Users can search for homes using natural language, specifying criteria like commute time, affordability, schools, and nearby points of interest. This search functionality is powered by AI and machine learning, which analyze millions of listings to deliver relevant results. Additionally, AI-driven personalized home recommendations help users find homes that match their preferences.Data Accessibility
Zillow Research makes various data sets available for download, including CSV files for ZHVI, sales data, and other metrics. This data is updated regularly, typically on the 15th of each month, ensuring that users have access to the most current information.Benefits
The integration of AI in Zillow Research offers several benefits:Improved Accuracy
AI models like the neural Zestimate provide more accurate home valuations.Enhanced User Experience
AI-powered search and recommendations make it easier for users to find homes that fit their needs.Timely Data
Regular updates ensure that users have access to the latest market data.Comprehensive Insights
The variety of data sets available helps users and researchers gain a deeper insight into real estate market trends. These features collectively make Zillow Research a valuable resource for anyone looking to analyze or engage with the real estate market, leveraging AI to enhance data accuracy and user experience. Zillow Research - Performance and Accuracy
Evaluating the Performance and Accuracy of Zillow’s AI-Driven Real Estate Tools
Performance and Accuracy
Zillow’s Zestimate algorithm has made substantial strides in improving property valuation accuracy through the integration of AI and machine learning. Here are some key points:Enhanced Valuation Accuracy
Zillow’s use of computer vision and neural networks has improved the Zestimate algorithm, allowing it to analyze photos and other nuanced attributes of properties, leading to more comprehensive valuations. For instance, a competition hosted by Zillow saw a winning team improve the Zestimate benchmark by about 13%.Daily Updates
The Zestimate is recalculated daily, incorporating public data and user-submitted information such as recent sales, tax assessments, and property characteristics. This frequent updating helps keep the estimates relatively current.Limitations
Despite these improvements, there are several limitations and areas for improvement:Algorithm Limitations
Zillow’s algorithm cannot account for all unique factors that influence a property’s value, such as the condition of the home, recent renovations, or neighborhood trends. These factors can significantly impact the property’s value but may not be fully captured by the algorithm.Data Inaccuracies
The data used by Zillow can be outdated or incorrect. For example, if a home’s recent renovation or new addition is not reflected in the data, the Zestimate may not accurately represent the property’s current market value.Local Market Nuances
Real estate markets are highly localized, and Zillow’s valuation model may not fully capture local nuances such as the desirability of specific streets, proximity to schools, or recent neighborhood developments.Market Trends
Zillow’s algorithm may not always keep up with rapid changes in the real estate market. In hot markets, property values can rise quickly, and Zestimates may lag behind current market conditions. Conversely, in a declining market, Zestimates might not reflect recent decreases in property values.Concept Drift
A significant issue Zillow faced was “concept drift,” where the algorithms failed to adjust to changes in market conditions. For example, during the COVID-19 pandemic, the algorithms continued to assume a hot market even as conditions cooled down, leading to significant financial losses.Areas for Improvement
To improve the accuracy and performance of Zillow’s AI-driven tools, several steps can be taken:Continuous Monitoring and Updates
Implementing better tools for monitoring and maintaining the quality of AI models can help detect drift or performance degradation. This would allow for timely updates to the models and ensure they remain aligned with current market conditions.Human Oversight
Incorporating humans-in-the-loop to review and adjust the models can help account for unique factors and local market nuances that algorithms might miss.Cross-functional Collaboration
Ensuring collaboration between data science, engineering, and marketing teams can foster a culture of continuous improvement and adaptation to evolving market conditions.User Experience and Operational Efficiency
While the Zestimate has its limitations, Zillow’s AI-driven solutions have significantly enhanced the user experience and operational efficiency in several ways:Interactive Tours and Floor Plans
AI-generated floor plans and interactive tours have made it easier for prospective buyers to understand a home’s layout and flow, speeding up the home shopping journey.Streamlined Operations
AI has streamlined internal processes, such as the use of an AI-powered “copilot” coding assistant tool, which helped streamline the coding process for engineers. In summary, while Zillow’s AI-driven tools have advanced property valuations and user experiences, they are not without their limitations. Addressing these limitations through continuous monitoring, human oversight, and cross-functional collaboration can further improve the accuracy and performance of these tools. Zillow Research - Pricing and Plans
Pricing Structure of Zillow Research
When examining the pricing structure and plans for Zillow Research, it’s important to note that Zillow Research itself does not operate as a revenue center and does not charge for its services. Here are the key points:
Free Access
- Zillow Research provides unbiased data and analysis about the housing market free of charge. This includes access to various research tools, dashboards, and market reports.
Research Tools and Dashboards
- Tools like the Market Heat Index, Market One-Pager, Housing Market Snapshot, Affordability Dashboard, and other economic trend dashboards are available for free. These tools help agents and users analyze market trends, home values, and affordability without any cost.
Market Reports
- Zillow Research publishes monthly market reports that are freely accessible. These reports cover a wide range of topics, including rental market trends, single-family rent growth, and other housing market insights.
Data Access
- Zillow Research makes its data and underlying methodologies transparent and available for independent replication. This includes access to the Zillow Home Value Index (ZHVI) and other proprietary data through their Econ Data API, although this may require some technical expertise.
Conclusion
In summary, Zillow Research does not have a tiered pricing structure or different plans. All the research tools, data, and analysis are provided free of charge, making it a valuable resource for real estate professionals and consumers alike.
Zillow Research - Integration and Compatibility
Integrating Zillow Research Data
When integrating Zillow Research data and tools into various applications and platforms, several key points need to be considered for compatibility and effective use.Data Access and Integration
Zillow offers several avenues for accessing its real estate data. Through the Zillow Research Collaboration Program, researchers and institutions can gain access to a wide range of data, including aggregate data, time series data on home values, and other housing market metrics. This data can be integrated into research projects and applications, provided that the requirements such as acknowledging Zillow in published research and linking to Zillow from a public web page are met. For more specific and detailed data needs, the Zillow Transaction and Assessment Dataset (ZTRAX), although discontinued, previously provided a comprehensive dataset for academic, non-profit, and government researchers. However, as of the latest updates, ZTRAX is no longer available, and researchers must destroy any existing raw data by the specified deadline.API Integration
Zillow also provides an API that allows developers to access its extensive real estate data. This API, such as the one described by APISCRAPY, enables the integration of property details, valuations, neighborhood insights, market trends, and property images into various applications. The API supports real-time data access, property specifics, and market trends, making it adaptable and customizable for different use cases. It is compatible with Python applications and can be integrated into MySQL-compatible Aurora databases.Compatibility Across Platforms and Devices
The Zillow API and data can be integrated into a variety of platforms, including web applications, mobile apps, and software solutions. For instance, the AI-powered home search feature on the Zillow app, available on both iOS and Android devices, utilizes natural language processing to provide personalized home searches. This feature is also set to be available on Zillow.com, ensuring a consistent user experience across different devices.Data Privacy and Security
When integrating Zillow’s data, it is crucial to address data privacy concerns. This includes obtaining user consent, ensuring secure storage of collected data, and adhering to data protection regulations and best practices. Comprehensive testing, error handling, and well-documented integration are also essential to manage API errors effectively and ensure smooth integration.Platform Flexibility
Zillow’s data infrastructure is designed to support scalability and flexibility. For example, Zillow’s experimentation platform (ZEXP) allows for the integration of custom segments and various data sources, making it seamless to incorporate new data and analysis techniques as needs evolve. This flexibility ensures that the data and tools can be adapted to different research and application needs.Conclusion
In summary, Zillow Research data and tools can be integrated into a wide range of applications and platforms through APIs and collaboration programs. Ensuring compatibility involves adhering to data use agreements, addressing data privacy concerns, and leveraging the flexible and scalable nature of Zillow’s data infrastructure. Zillow Research - Customer Support and Resources
Customer Support Options
For general inquiries or technical support, you can contact Zillow’s customer service team through several channels:- Phone Support: You can call Zillow at 877-313-8601, available Monday through Friday from 8:00 AM to 8:00 PM EST.
- Email Support: You can reach out to Zillow by filling out a contact form on their support page.
- Social Media: Zillow is also available on social media platforms like Facebook, Twitter, and Instagram, where you can leave messages or engage with their support team.
Additional Resources
Zillow provides a wealth of resources to help users get the most out of their platform:Zillow Help Center
The Help Center is a comprehensive library that includes help articles, tutorial videos, and FAQs. This is a great place to find answers to common questions and learn how to use Zillow’s various tools.Zillow Blog
The Zillow blog offers the latest real estate trends, housing news, and tips for buyers and sellers. It’s a valuable resource for staying informed about the real estate market.Research Tools
Zillow offers several research tools that can be particularly useful for real estate agents and enthusiasts:- Market Heat Index: Provides a score indicating whether it’s a seller’s or buyer’s market based on listing factors.
- Market One-Pager Dashboard: Aggregates data on home values, active listings, sales, housing costs, and rents, broken down by U.S., state, and metro levels.
- Housing Market Snapshot: Offers detailed insights into median sale prices, home value trends, and other market metrics.
- Affordability Dashboard: Helps users understand how factors like mortgage rates impact homeowner affordability.
- Economic Trends Dashboard: Updates monthly with data on for-sale, rental, and new construction markets, including rental listings with concessions and construction permit activity.
Zillow Research - Pros and Cons
When Considering Zillow as a Real Estate Tool
Advantages
- Wide Exposure and Access: Zillow provides listing exposure to millions of consumers, making it an invaluable resource for both buyers and sellers. It offers access to nearly every listing available, including non-agent represented properties, rentals, foreclosures, and other opportunities.
- Comprehensive Data: Zillow aggregates data from multiple sources, including the Multiple Listing Service (MLS), to provide a broad range of information such as current listings, recent sales, tax details, and school information. This makes it a convenient hub for home buyers and sellers.
- Tools and Resources: Zillow offers various tools, including the Zestimate, which, despite its limitations, can serve as a starting point for estimating home values. Additionally, features like Natural Language Search and Personalized Home Recommendations enhance the user experience.
- Marketing Opportunities for Agents: Zillow allows real estate agents to advertise their skills to a broad audience. The Zillow Premier Agent program offers additional benefits, such as increased traffic to listings and a WordPress website, although the website does not integrate with the MLS.
Disadvantages
- Inaccurate Zestimates: One of the most significant drawbacks is the inaccuracy of Zillow’s Zestimate tool. The median error rate for off-market homes is around 7.49%, and the algorithm does not account for upgrades or the specific condition of the property. This can mislead buyers and sellers about the true value of a home.
- Sync Delays: Zillow can experience delays in updating listings, sometimes taking up to 24 hours to sync with the MLS. This can lead to disappointment when properties shown as available are actually pending or sold.
- Low Quality Leads: For subscribing agents, the leads generated through Zillow are often low quality and non-responsive, which can be frustrating and costly.
- Confusing Listing Information: Listings on Zillow may have multiple realtors attached, which can be confusing for potential buyers. Additionally, Zillow promotes non-listing agents alongside listings that aren’t theirs, misleading consumers.
- Cost and Financial Considerations: The cost of being a subscribing agent on Zillow is high, and agents have to spend a lot of money to get their own listing leads. Zillow itself has been experiencing financial declines since 2019.
- Potential for Misinformation: The inclusion of price signals from foreclosure re-sales in Zillow’s data set can further skew the accuracy of home value estimates. This, combined with the lack of real-time accuracy, especially in hot markets, can lead to misinformation for users.
Conclusion
By understanding these pros and cons, users can make more informed decisions about how to effectively use Zillow as part of their real estate strategy.
Zillow Research - Comparison with Competitors
When comparing Zillow’s AI-driven real estate tools
When comparing Zillow’s AI-driven real estate tools, particularly its research and valuation features, with those of its competitors, several unique aspects and alternatives stand out.
Zillow’s Unique Features
- Zestimate and Neural Zestimate: Zillow’s proprietary Zestimate tool, powered by AI and machine learning, provides free property value estimates. The Neural Zestimate, an advanced version, uses neural networks to estimate values for homes not actively listed for sale, covering over 100 million homes across the U.S. This tool is highly accurate, with a national median error rate of 2.4 percent.
- AI-Powered Natural Language Search: Zillow has introduced an AI-powered natural-language search feature, allowing users to search for homes using conversational language, a first in the real estate industry.
- Visual and Interactive Tools: Zillow offers AI-generated floor plans and 3D tours, enhancing the user experience by providing a more accurate sense of a home’s layout and space without the need for physical tours.
Competitors and Alternatives
- Realtor.com: Realtor.com uses AI to generate leads and customize the user experience, but it focuses more on data-driven approaches with comprehensive search filters and detailed property information. Unlike Zillow, Realtor.com aggregates multiple estimates from third-party providers, offering a range of potential values. Realtor.com’s AI is more integrated into the lead generation process, selling pre-qualified leads to agents, which can be of higher quality but at a cost.
- Trulia: Trulia’s AI customizes the user experience by learning users’ tastes and favored search terms, providing more granular recommendations based on past user behavior. This is different from Zillow’s broader, more general search capabilities.
- Redfin: Redfin uses AI to augment human agents, automating the property recommendation process. Redfin’s AI matchmaking tool is known for suggesting properties that users click on more often than those that fit their own search criteria, indicating a high level of accuracy in user preferences.
- HouseCanary: HouseCanary offers advanced machine learning-powered tools for homeseekers, including market comparison insights and precise deal evaluation. Their CanaryAI integrates institutional-grade data for end-to-end solutions, which is more focused on investors and detailed analytics compared to Zillow’s broader consumer base.
- Opendoor: Opendoor uses AI to provide customers with offers for their homes based on data that includes recent home prices, time-to-sell, and macroeconomic trends. This is more focused on the buying and selling process rather than general property search and valuation.
Key Differences
- Data Sources and Accuracy: Zillow’s Zestimate, while highly accurate, can lack precision for off-market properties or those with unique features. Realtor.com, on the other hand, aggregates multiple estimates, potentially increasing accuracy but requiring careful interpretation.
- User Experience: Zillow prioritizes visual appeal and simplicity, while Realtor.com offers a more data-driven approach with comprehensive search filters and detailed market reports.
- Market Reach: Zillow has a broader reach, capturing about 44% of total real estate search traffic, but this includes less reliable data from FSBO listings. Realtor.com, backed by the National Association of REALTORS®, ensures data accuracy but has a narrower reach.
Conclusion
In summary, while Zillow stands out with its innovative AI-powered search and valuation tools, competitors like Realtor.com, Trulia, Redfin, HouseCanary, and Opendoor offer unique features that cater to different needs and preferences within the real estate market. Each platform has its strengths and weaknesses, making the choice dependent on individual needs and priorities.
Zillow Research - Frequently Asked Questions
Frequently Asked Questions About Zillow’s Real Estate Tools
How Accurate is Zillow’s Zestimate?
Zillow’s Zestimate is an estimate of a property’s market value, calculated using a computer algorithm that analyzes millions of public and user-submitted data points. While it is a useful starting point, its accuracy can vary. Unlike a real estate agent or appraiser who physically inspects the home, the Zestimate relies on available data and may not account for unique features or recent improvements.Where Does Zillow Get Its Data?
Zillow gathers its data from a variety of sources, including public records, user-submitted information, and real estate listings. The ZTRAX database, for example, combines transaction and assessor data, which is updated at least quarterly and structured by state FIPS codes.How Does Zillow Use AI in Home Search?
Zillow’s home search is powered by AI and machine learning, allowing for more personalized and relevant search results. The enhanced search feature can interpret natural language queries and scan millions of listing details to provide accurate matches. This AI also drives features like the neural Zestimate valuation and personalized home recommendations.What Are the Free Research Tools Available on Zillow?
Zillow offers several free research tools for real estate agents, including:- Market Heat Index: Provides a score indicating whether it’s a seller’s or buyer’s market.
- Market One-Pager: Aggregates data on home values, active listings, sales, and other economic metrics.
- Housing Market Snapshot: Offers detailed insights into median sale prices and homeowner trends.
- Affordability Dashboard: Helps agents and clients understand how mortgage rates and financial scenarios impact affordability.
- Economic Trends Dashboard: Updates agents on key trends across for-sale, rental, and new construction markets.
How Does Zillow Make Money?
Zillow generates revenue through several channels, including:- Zillow Premier Agent: Offers enhanced visibility and buyer insights for a fee, which can range from $20 to $60 per lead or higher in competitive areas.
- Advertising: Zillow uses cookies to serve targeted ads based on user behavior and search preferences.
How Do Zillow Cookies Work and What Do They Do?
Zillow uses cookies to create a personalized browsing experience. These cookies remember search preferences, enable saved searches and favorited properties, and deliver dynamic content. They also help agents manage their accounts and listings. However, cookies also track user behavior, which can raise privacy concerns. Users can manage or disable non-essential cookies through Zillow’s site or their browser settings.How Can Agents Use Zillow in Their Marketing Efforts?
Agents can leverage Zillow’s tools to enhance their online presence. This includes creating a Zillow profile, encouraging client reviews, using Tech Connect to integrate leads into their CRM, and embedding Zillow widgets on their website. For agents with a budget, Zillow Premier Agent offers additional features like enhanced visibility on listings and buyer insights.How Often is ZTRAX Data Updated?
The ZTRAX (Zillow Transaction and Assessor Dataset) is updated at least quarterly, although there is no fixed cadence due to resource constraints.What is the Purpose of the Housing Market Snapshot?
The Housing Market Snapshot helps agents and clients understand current market trends, including median sale prices, reasons for homeowner hesitation, and heat maps for home value trends. This tool is useful for developing pricing strategies and keeping clients informed about market changes. By using these tools and features, real estate agents can better serve their clients and stay informed about local market conditions. Zillow Research - Conclusion and Recommendation
Final Assessment of Zillow Research in the Real Estate Tools AI-driven Product Category
Zillow Research is a comprehensive and highly valuable resource in the real estate sector, particularly for those leveraging AI-driven tools to make informed decisions. Here’s a breakdown of its key benefits and who would most benefit from using it.Key Features and Benefits
- Comprehensive Data: Zillow Research provides extensive data on home values, rents, negative equity, affordability, and more. This data is updated regularly, ensuring users have the most current information at their fingertips.
- AI-Driven Insights: The platform utilizes AI to analyze real estate data, offering features like the Zestimate, which estimates the market value of properties. This tool, along with others such as mortgage calculators and neighborhood insights, helps users evaluate properties and make informed decisions.
- User-Friendly Interface: The site is optimized for various devices, making it easy for users to access and consume data on-the-go. The interface is intuitive, with clear data tiles and mobile-friendly design.
- Specialized Audiences: Zillow caters to a wide range of users, including prospective buyers, renters, homeowners, and sellers. It also targets specific segments like first-time home buyers, luxury home buyers, and real estate agents.
Who Would Benefit Most
- Prospective Buyers: Individuals planning to buy a home in the near future can greatly benefit from Zillow’s detailed market reports, neighborhood insights, and property valuation tools. The platform helps them make educated decisions about their purchase.
- Real Estate Professionals: Agents, investors, and other stakeholders can leverage Zillow’s data and analytics services to stay updated on market trends and make strategic decisions. The platform’s advanced features, such as virtual tours and direct communication channels with clients, are particularly useful.
- Homeowners and Sellers: Homeowners looking to sell their properties can use Zillow’s research to determine the best price for their home and understand the current market conditions. Sellers can also benefit from the platform’s guidance on how to prepare and list their properties effectively.