Voicepanel is an AI agent that conducts user research. Product teams use Voicepanel to gather customer feedback, identify usability issues, and test new product concepts without the overhead of traditional research methods.
Let AI conduct user research for you
Voicepanel is an AI agent that conducts user research. Product teams use Voicepanel to gather customer feedback, identify usability issues, and test new product concepts without the overhead of traditional research methods.
Hi Product Hunt! We're John & Asa, the founders of Voicepanel. Voicepanel helps product teams with their most important task: understanding their users. With AI tools, it's possible to ship products faster than ever. Millions of new products will be released to the world this year. It's an exciting time to build, but the reality is that the vast majority of products will fail because they miss the mark on what users want. For decades companies have used basic surveys to keep pulse on their c
Awesome work!!! I remember chatting when you were first getting started (thanks for bearing with me in those loooong Slack threads π ) and I'm so amazed by how far Voicepanel has come! At Gamma, we've used Voicepanel to help us gather feedback that where we want more nuance and depth than a survey can provide, but where a live research call may not be practical or necessary. The probing questions mean that we can get a depth that would otherwise be difficult to capture β and one of the coolest th
Congratulations on the product launch! In my opinion, the bigger challenge is motivating users to leave feedback. I hope you're focusing on that aspect as well. Wishing you success!
Awesome service we use to get feedback from our customers with our startup, Fairway Finder.
Congrats @john_provine1 and team! Excited to check it out.
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.