I'm using deep research to ensure that the addition of the responses API will go smoothly, and I'm answering follow-up questions about the report format before kicking off the analysis.

Our user research involves asking behavioral questions rather than validating specific features, which helps us understand user needs better.

I actively seek customer feedback by reaching out directly, which helps me understand their needs and avoid building products that don't address real issues.

Our AI not only sets up research projects and defines questions but also guides users through the process, leveraging best practices from thousands of completed projects.

Deep Research can embed images and create graphs in its responses, enhancing the quality of information provided, although these features are not yet available for consumer use.

We utilize proprietary models and APIs to generate insights, allowing us to scale our services and provide timely information to clients during meetings.

Deep Research begins by asking clarifying questions to ensure it understands the user's request and wants users to provide as much detail as possible upfront to ensure the output meets their expectations.

Deep Research is particularly effective for detailed queries that require extensive reading and understanding of web content to provide accurate answers.

At JP Morgan Private Bank, we curate and manage thousands of investment products, each supported by extensive data, which leads to inevitable questions that our small research team must address.