AI-moderated interviews and real-time synthesis
Strella is an end-to-end customer research platform that uses AI-moderated interviews and real-time synthesis to deliver human insights in hours, not weeks. As a result, teams can gather customer feedback effortlessly, and ship smarter products faster.
Hey Product Hunt! Strella team here. We're so excited to introduce Strella: AI-moderated interviews and real-time synthesis, delivering human insights at scale. Customer research is so important, but in today's world it can be slow and manual. We built Strella to change that. Strella uses AI to streamline the end-to-end research process, delivering human insights in hours, not weeks. With our product, you can: 1. Create your study in minutes: Simply define research objectives and AI will generat
Congrats on the launch! As a product designer and founder, I've run countless interviews that require a high level of preparation, analysis, and recording. I love that Strella automates this process for me so I can be present and focused on the interview / engaging with the customer. And I can't tell you how excited I am to never recruit another participant, this takes up endless hours that could be spent creating value in the product. How do you recruit and identify the right participants?
Cool product! Congrats on the launch. The Ai interview looks smooth. What's under the hood?
Wow… I believe this tool will help a lot of HR folks. :)
Great idea and powerful tool! I really enjoyed the sample interview I tried, definitely something I plan to use!
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.
Categories come from the product's launch tags. Most products appear in 2-3 categories. The primary category is listed first.
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.