> For the complete documentation index, see [llms.txt](https://help.dscout.com/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://help.dscout.com/private-panels/get-started/welcome-to-private-panels.md). # Welcome to Private Panels! {% embed url="" %} Private Panels provides efficient end-to-end tools to manage your user research panel and help you be GDPR compliant. Its automation workflows and data processing features lessen the time you spend on operational activities. In a nutshell, Private Panels is Excel, Mailchimp, SurveyMonkey, and Calendly in just one simple and scalable platform. If you’re ready to join our growing community, our YouTube channel is a great place to start learning the basics. Click [here](https://www.youtube.com/channel/UCUuWpCjQBq1mIXPWyRGkaoA) to head over our channel. We also have a library of how-to articles complete with screenshots to guide you. Here are some helpful links to articles about our core features: ### Panel Management Whether you have existing panelists or creating your first landing page to recruit new panelists, Private Panels has you covered. [Get started](/private-panels/panel-management/get-started-with-panel-management.md). ### Research Recruitment You can build Screeners with Private Panels to ensure you have the right participants for research. Then, it enables you to easily find the right time to schedule a session, Calendly-style. [Get started](/private-panels/studies/get-started-with-studies.md). ### Panelist Experience Your panelists are your partners. They are equally important to us so we enable you to treat them as such. Private Panels offers a simple way for your panelists to keep their profiles up to date, to opt in or out of communication, to delete all of their data, and much more. [Get started](/private-panels/panel-management/panelist-consent-and-opt-in.md). {% hint style="info" %} **Note:** Private Panels was previously managed outside of Dscout, so you may see a different logo and URL in some places. If you have any questions, contact . {% endhint %} --- # Agent Instructions This documentation is published with GitBook. GitBook is the documentation platform designed so that both humans and AI agents can read, navigate, and reason over technical content effectively. Learn more at gitbook.com. ## Querying This Documentation If you need additional information that is not directly available in this page, you can query the documentation by asking a question. Perform an HTTP GET request on the following URL with the `ask` and `goal` query parameters: ``` GET https://help.dscout.com/private-panels/get-started/welcome-to-private-panels.md?ask=&goal= ``` `ask` is the immediate question: it should be specific, self-contained, and written in natural language. `goal` is what the user is ultimately trying to achieve, the reason they need the answer. Sharing it helps GitBook give you a better, more relevant answer. A goal is most helpful when it describes the outcome the user wants rather than restating the question. For example, with `ask=how do I create an API token`, a goal like `automate deployments from our CI pipeline` lets GitBook tailor the answer to that use case. The response will contain a direct answer to the question and relevant excerpts and sources from the documentation. Use this mechanism when the answer is not explicitly present in the current page, you need clarification or additional context, or you want to retrieve related documentation sections.