Cookiy AI

Cookiy AI is a genuine leap forward for scaling qualitative research, automating the grunt work while keeping the methodology sound. Its 190,000-interview track record and 170M respondent pool give it real-world credibility, but the value hinges on teams embracing structured workflows rather than ad-hoc approaches. When to pick this: When you need to run frequent user interviews (e.g., 5+ per week) and want AI to handle recruitment, moderation, and synthesis. Particularly strong for product teams validating concepts, UX researchers running concept tests, and market researchers needing fast, moderated feedback. The platform's ability to recruit from 170M panelists means you can find niche audiences without agency fees. When to pass: If you only need quick surveys or NPS tracking, tools like Typeform or SurveyMonkey are simpler. For purely quantitative studies at scale, a dedicated survey platform with advanced analytics is better. Also, teams wanting a fully DIY, unstructured approach may find Cookiy's opinionated workflows too prescriptive. Budget-sensitive teams should note that paid pricing is not transparent on the website, so planning requires a sales call. Compared to alternatives: Unlike unmoderated tools like UserTesting or Lookback, Cookiy autonomously recruits, moderates, and synthesizes—reducing researcher overhead significantly. However, competitors like Dscout offer more flexible diary studies and mobile ethnography, which Cookiy may not support as natively. Cookiy's AI moderator is more interactive than typical survey bots, but human-led depth interviews remain superior for highly nuanced topics. Real-world usage caveats: The quality of insights depends on how well you define research goals in step one. The AI-generated discussion guides are strong for