This report is for product marketers, insights leads, and market researchers who decide what to test, what to ask customers, and which answers to trust.
You'll get benchmark data you can quote in a business case, 3 real examples of teams that tested before they committed, and practical checks for deciding when AI belongs in the work and when a conversation with a colleague or customer should come first.
Why Gen Z feels the most pressure to already know the answer (45% vs 27% of Boomers), even though they're the most likely generation to say curiosity is rewarded more than it was 5 years ago.
How SurveyMonkey rebuilt its company values with 3 rounds of employee surveys and AI analysis of thousands of comments, and raised the share of employees who said the values matched the culture by 23 points.
How Sakura of America tested a $100 pen with US consumers before arguing about it, and what the data told them.
3 questions that turn "I don't think that would work" into a claim your team can test before the big call.
Why the people with the most colleagues to call are the least likely to call them. Half of individual contributors never use AI in place of a teammate. Among leaders, it's closer to 1 in 5.
The gap between what workers trust and what they do. 58% say a colleague is more reliable than AI, and more than a third of AI users still accept its output as-is or after a quick check.
The report is free. Download it to get the full benchmark data, 3 case studies, and the question sets your team can use before its next launch, survey, or positioning decision.
If your team uses AI to draft research plans, messaging, or customer insights, this report shows where the misses start: in the questions nobody asked at the beginning. Half of workers say they've redone work for exactly that reason.
Every number comes from SurveyMonkey's April 2026 study of 1,925 US workers, with a margin of error of plus or minus 2 percentage points.