Intelligent Probing for Open-Ended Questions: A Methodology for AI-Driven Depth in Open-End Survey Data, Online and by Phone
A vendor-neutral methodology for AI-driven open-end probing: at the moment a respondent answers, an AI reads the response, judges it against the researcher's objective, and asks a tailored follow-up — just as a skilled interviewer would — in online and telephone surveys. Covers the mechanism, researcher control through objectives and sentiment rules, the response-quality lift and its limits, a 0–100 response-quality score, and where the technique fits. The AI assists a genuine human respondent; it does not generate the answer. Grounded in NORC (2024) and HICSS/ScholarSpace (2026), plus the ICC/ESOMAR Code and ISO 20252.