Translate customers’ text responses into valuable insights.
Asking customers what they think in their own words yields crucial insights about your business, yet it can leave you with far too many answers to read through. Enter Research Assistant—the AI-powered tool that tells you how your customers are feeling and why.
Hey PH, I’m Mike - one of the co-founders of Iterate. We’ve been testing and refining Research Assistant for months with some great feedback from our customers. We’re so excited to make it available for everyone today. We’re big believers in asking customers for open-ended, freeform thoughts about their experience. Quantitative tools like NPS and CSAT have their place, but the real insights — the surprising results — come from letting people tell you what they want or how they’re feeling in thei
Can't wait to try out the new Research Assistant, sounds exactly like what we need for understanding qual feedback at scale. Such an awesome team, too, I'm sure it's going to be a great experience.
Helping to quantify qualitative research is brilliant.
Amazing! I continue to be super impressed by the work coming out of Team Iterate.
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.
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.