This guide is the fastest way to get oriented in the MX8 Labs Research Platform. The video below walks through the core workflow end-to-end, and the sections that follow expand on each step so you can return to the parts that matter for your team without re-watching the whole thing.
What the platform does, in one paragraph
MX8 Labs is an AI-native research platform that automates every step of a survey study, from the moment a questionnaire is drafted to the moment a stakeholder opens the report. Survey programming, link testing, respondent sourcing, quota management, weighting, open-end coding, statistical testing, and report assembly all run on the platform. Each of those steps is editable and configurable, so you keep the design control of a custom workflow while removing the manual time that traditionally consumed the bulk of a project.
What you will learn from the walkthrough
The video covers the most common path a researcher takes the first time they log in. You will see how to import a questionnaire from a Word document or write one from scratch in the visual editor, how the AI copilot helps refine question wording and skip logic, how to preview the survey on desktop and mobile, and how to push the questionnaire through automated QA before it goes live. The walkthrough then shows how to connect respondent sources, set quotas, monitor fielding in real time, and open the reporting workspace where weighting, cross-tabs, and stat testing are handled in a self-serve interface.
A typical first project
Most teams run their first MX8 Labs project end-to-end within a few days of logging in. A common path is to start with a study you have already run elsewhere so you can compare outputs side by side. You import the questionnaire, let the platform program it, run an automated QA pass, launch a small soft-launch sample, review the reporting layout, and then open the full field. Because reporting is configured once and refreshed on every wave, the second project typically takes roughly half the time of the first, and recurring trackers consume only a fraction of the time of a one-off study.
Where to go next
If you want to dig deeper into a specific step, the documentation is organized around the workflow stages shown in the video. Survey design and the AI copilot are covered in the how-to-guides section, programming references and question types are covered in the platform reference section, and advanced methods like conjoint, MaxDiff, and multi-wave reporting have dedicated entries under advanced methodologies. Most users start with Using the Visual Survey Editor and Editing Surveys with the AI Copilot, then move on to the reporting and respondent-sourcing guides once their first study is in field.
If you would like a guided tour against your own use case rather than the generic walkthrough, you can book a working session with the team and we will tailor the demo to the workflow you are trying to support.