Interview your customers at scale with Wondering's AI-Moderated User Interviews. Gather actionable user insights and grow your product by conducting and analyzing hundreds of user interviews at the same time.
Build the right thing with AI-powered user interviews
Interview your customers at scale with Wondering's AI-Moderated User Interviews. Gather actionable user insights and grow your product by conducting and analyzing hundreds of user interviews at the same time.
Hey Product Hunt, Axel here from Wondering 👋 Wondering is a completely new type of AI-first user insights platform that helps product, UX and go-to-market teams reach user insights faster. Our purpose-built customer research AI helps you reach product-market fit faster, enhance your product journeys and refine your messaging with AI-driven user interviews and analysis. Product teams at small startups and big enterprises are using Wondering to: 📊 Interview & survey users at scale with AI: Lau
Massive congratulations to our incredible team for this milestone achievement - let's keep up the momentum!
Couldn’t be more excited to share this with the Product Hunt Community! Well done team!
All the best and a great launch! Congrats @amy_strong1 @axel_thomson @joshuamason @victor_tsvirkun @nicolas_marcora @tom_watkins1 @tereza_sustrova. Nothing beats primary research and user interviews when it comes to product reach and impact. The AI to analyze user interviews can be a boon to PMs like me. Nice idea and great execution team. btw, we launched AppSave today and would love to see you drop by and leave us a valuable comment!
Cool idea. Getting the most value out of customer interviews is hard, especially if it's not your full time job. Does Wondering provide insights across different interviews? Key themes brought up, common complaints etc.
The scores reflect launch-period engagement. Historical data is preserved and doesn't change retroactively. The build date at the bottom shows when the index was last refreshed.
Check the similar products section on this page, or browse the category pages linked in the tags above. Each category page shows all products for a given year, sorted by engagement.
A measure of community engagement at launch. Higher means more people noticed and interacted with the product. It's a traction signal, not a quality rating.
Discussion threads divided by interest score. Above 0.30 is strong. Below 0.15 suggests the product got clicks but not conversation.