"I'm sorry about that. Let me fix it." That's what AI says when you catch it making something up. The problem is, most of the time, you don't catch it. You take the insight, trust the summary, build the strategy, ship the feature. And three months later when 40% of your users are gone, the AI isn't in the room. I've been a UX designer for 20 years. I watched companies fail because bad research is a domino. Every decision downstream of a lie becomes a lie. Now AI has made confident hallucinations feel like validated insights, and entire product roadmaps are being built on top of answers that were never real. We built Validata because "I'm sorry about that" is not a receipt. It covers the entire chain. From the moment you write a question to the moment you act on an answer, Validata is checking the work. Under the hood is an analysis engine (not an AI wrapper) that provides actual receipts for every insight. Every finding is linked back to exactly what your users said with a confidence score. You can defend it. You can trust it. We have 10 founding member spots open. Come find out what your users are actually trying to tell you. On the house!

Validata

AI surveys: specialist writing, data scientist analysis

AI surveys: specialist writing, data scientist analysis