
PlaybookUX enables teams to recruit participants, run moderated and unmoderated user research, and analyze qualitative and quantitative feedback in one AI-assisted platform.
PlaybookUX is an all-in-one research platform for planning, running, and analyzing both qualitative and quantitative user research. It centralizes participant recruitment, session execution, and insight synthesis into a single workflow, with AI used to accelerate analysis while keeping researchers in control of decisions. The primary purpose is to help teams capture richer customer insights and operationalize research at scale without fragmenting data across multiple tools.
PlaybookUX captures nuance that static question sets miss by supporting moderated and unmoderated studies, video-based feedback, and open-ended responses. Its analysis layer surfaces unexpected themes, patterns, and outlier responses, giving researchers a faster path to hypotheses and follow-up questions. The platform is designed to support, not replace, researchers by enabling them to review, refine, and validate AI-generated summaries and tags. Teams can pull videos, transcripts, and structured insights into any downstream system, including their preferred AI tools (such as Claude, Copilot, or ChatGPT), as well as data warehouses and CRMs. Research operations can be automated, from project creation and panel management to scheduling and incentive handling, enabling consistent, repeatable study workflows.
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