FREQUENCY RESEARCH LAB SURVEY
The Average User Doesn’t Exist.
A survey of 503 power AI users across six professional roles, on how often AI misses their working style — and what they do about it when it does.
We surveyed 503 people who use AI daily for work, across six professional roles. The finding: the mismatch between how people think and how AI responds isn't a minor annoyance — it's a widespread, daily, costly problem, and people are already managing it by hand.
76% give AI the same instructions about how to respond, over and over. 36% spend two or more hours every week fixing output that doesn't match how they work. 91% actively correct bad output themselves — almost nobody just accepts it. And when asked about a tool that adapts to them automatically, 70% said it would be significantly useful or transformative.
Nobody in this survey needed the problem explained to them. They were already living it.
THE SHORT VERSION
give Ai the same instructions on how to respond, over and over.
76%
actively correct bad output - only 1.2% accept it as-is.
91%
Say auto-applied preferences would be significantly useful or transformative.
70%
THE PROBLEM IS DAILY, NOT OCCASIONAL
This isn't a one-time frustration people shrug off. It's a routine they've built their workday around. They repeat the same instructions, budget time for cleanup, and correct the output themselves — every day, by hand.
spend two or more hours every week adjusting and editing AI output before it's usable.
36%
say their top frustration is that AI output "misses the mark" on their approach — the most common complaint in the survey.
54%
say the second most common complaint is the output "sounds generic." The answer may not be ‘wrong as such’, but it doesn’t feel like a personal fit.
49%
FIT CHANGES BEHAVIOR
People aren't waiting for someone to name this problem before acting on it. They're already switching tools over it.
77%
have noticed a meaningful difference in fit between AI tools they've used.
have switched AI tools — not for capability, but because one felt better matched to how they think and work.
44%
503 respondents, screened for regular, daily AI use at work, surveyed in April 2026 across six professional roles.
Role Respondents
Data Analysis 136
Operations 125
Engineering 84
Research 64
Marketing 57
Product / PM 37
Product/PM responses (n=37) are directional only, given sample size. All other findings are reported at n=503 unless otherwise noted.
METHODOLOGY