SurveyMonkey is betting AI can make surveys useful again

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SurveyMonkey is rolling out an AI-powered overhaul described as its most significant revamp in years. The update embeds AI at multiple stages of the survey workflow: helping users design and word questions faster, and then processing collected responses to surface patterns that teams can act on rather than manually interpret.\n\nThe move reflects a broader defensive posture among established survey and research platforms. Momentive (SurveyMonkey's parent) faces growing pressure from AI-native analytics tools that promise to extract behavioral and attitudinal insights without traditional survey infrastructure. By adding AI to both ends of the workflow — creation and analysis — SurveyMonkey is repositioning itself as an insight engine rather than a form builder.\n\nThe Fast Company report is light on technical specifics: no underlying model names, pricing tier changes, or quantitative accuracy benchmarks are disclosed. What is clear is the strategic intent — bridge the gap between data collection (long a commodity) and decision-ready intelligence (where enterprise value concentrates).\n\nSurveyMonkey's enterprise customer base spans HR, customer experience, and market research functions. AI-powered insight extraction could meaningfully accelerate response-to-action cycles in those workflows, though adoption will depend on output quality relative to analyst-led analysis.