Hurley vs Whyser

Hurley is a web-based AI assistant for conducting and summarizing user interviews. It supports video, voice, and chat interviews, with availability in 50+ languages stated on its homepage. Hurley can create interview scripts from a research goal or start with a user research template. Recruitment options include a product banner, direct link, or email. It provides recordings, transcripts, and summaries, then identifies patterns in an insights report with user quotes and citations. Users can ask questions about interview data and receive quote-supported answers. The Free plan costs nothing and includes 20 total credits, unlimited projects, video, voice and chat interviews, 50+ languages, AI-powered insights reports, and a Slack agent. Pro costs €99 a month for 400 monthly credits. Done for you costs €999 a month for 2,500 credits, an onboarding workshop, and a dedicated user researcher. Hurley says it does not sell personal data.

Whyser is an AI-powered qualitative insights platform for conducting customer interviews and analyzing results. Its voice interviews adapt questions to participant responses and can ask for deeper detail. Depending on plan, studies can include video, screen recordings, visual stimuli, Figma usability tasks, and card sorting. Analysis features include interview summaries, custom reports, and a knowledge vault where users can query findings supported by participant quotes.

Customers can bring their own participants or recruit through Whyser’s partners, which the site says provide access to millions of global B2B and B2C participants. English is the default language, with additional languages supported and more available on request. The Free plan includes 10 interviews of up to 25 minutes, plus summaries, analysis, chat with data, reports, and voice recordings. Plus allows custom interview counts and interviews up to 60 minutes. Business advertises unlimited interviews and length with an asterisk that the page does not explain. Whyser is presented for researchers, product managers, and marketers working on studies such as product validation, pain-point discovery, concept testing, and brand perception. For research requiring empathy, connection, or physical presence, Whyser says a human interviewer may be preferable.