Pain 1: Users reported that retrieving simple research data takes too long, particularly in investment sales and mortgage banking, where quick access to data from sources like Costar, Yardi, RCA, and MSA is crucial.

We conducted interviews with 20 users to identify the primary business pain points.

Pain 2: Additionally, the large volume of documents per loan makes it time-consuming to pinpoint missing information.

Pain 3: The creation of marketing and loan documents for property listings, including social media content, marketing materials, BOVs, OMs, and underwriting narratives, is also a significant burden.

Pain 4: Furthermore, users generally lack of trust of AI technology, leading to uncertainty about its applications and fear of misuse.

We organized a strategic ideation workshop with the product and development teams to align on key user pain points and business objectives, while also gathering insights from developers regarding the feasibility of proposed solutions.
1. Prompt Library
2. User Profile
3. Data Assistant
4. Internal Tool Integration
5. Deep-research
6File Upload

We developed a comprehensive entry point system for commercial real estate users, enabling fast and precise data retrieval for diverse research requirements. This system facilitates the extraction of pertinent data efficiently.

We developed a comprehensive entry point system for commercial real estate users, enabling fast and precise data retrieval for diverse research requirements. This system facilitates the extraction of pertinent data efficiently.

We developed a comprehensive entry point system for commercial real estate users, enabling fast and precise data retrieval for diverse research requirements. This system facilitates the extraction of pertinent data efficiently.

We developed a comprehensive entry point system for commercial real estate users, enabling fast and precise data retrieval for diverse research requirements. This system facilitates the extraction of pertinent data efficiently.

We developed a comprehensive entry point system for commercial real estate users, enabling fast and precise data retrieval for diverse research requirements. This system facilitates the extraction of pertinent data efficiently.

To enhance user engagement by creating a more cohesive and visually appealing experience that meets user expectations, we decided to rebrand this product. Refreshed brand identity into UI elements, interactive components, and storytelling can make interactions more intuitive and engaging. A modernized design system also improves usability, streamlining workflows and building trust in the platform.

We developed a comprehensive entry point system for commercial real estate users, enabling fast and precise data retrieval for diverse research requirements. This system facilitates the extraction of pertinent data efficiently.

AI product design differs from traditional UX, as it’s driven by technological advancements rather than user needs. Designers must adapt by aligning AI capabilities with real problems while leveraging AI tools to accelerate research and development.

The rapid pace of AI shortens product cycles, requiring agile processes to keep users at the center. However, blindly copying existing AI models can be ineffective. Instead, designers should prioritize usability, integrate AI seamlessly into workflows, and validate solutions through rapid testing.

Success in AI UX hinges on adaptability, critical thinking, and balancing innovation with human-centered design to create meaningful user experiences.

We developed a comprehensive entry point system for commercial real estate users, enabling fast and precise data retrieval for diverse research requirements. This system facilitates the extraction of pertinent data efficiently.