AI can assist throughout the Quant process: Survey Design: Creating entire surveys, suggesting questions, providing brand lists, checking sample for bots, and translating design. Fieldwork: Automatic deep-dive follow-up questions, checking for AI-created responses, and blocking bots. Post Collection: De-duplicating records, recoding or categorizing collected data (verbatims), and translating verbatims. Analysis/Reporting: Providing an overview of collected data, generating cross tabs, charts, graphs, and performing regression analysis. It can also generate summaries, draft full reports, or break down reports into suggested slides.

AI can also assist throughout the Qual process, often being particularly well-suited to the unstructured data collected in this methodology: Discussion Guides: Creating outlines, suggesting topics, or providing critical analysis of drafted guidelines. Recruitment: Sourcing relevant discussion groups or specialty websites, checking screeners for bots, and checking geolocation. Fieldwork: Conducting discussion groups or voice surveys, and generating automatic follow-up questions. Post Collection & Analysis: Recoding or categorizing collected verbatims, de-duplicating records, providing summaries by suggested groups (e.g., age ranges), and quantifying data by coding. AI can process multiple data sources, including audio, video responses, and images. Reporting: Generating reports, summaries, MindMaps showing data relationships, and producing images for presentations.