Review the employee experience statistics shaping engagement, onboarding, wellbeing, and AI at work, each with a named and dated source.
Every statistic on this page carries a named source and a date. Where the number comes from SurveyMonkey research, the methodology is stated so you can decide whether it applies to your workforce.
The bulk of the first-party data here comes from the SurveyMonkey State of Curiosity 2026 study, fielded April 3 to 10, 2026 among 1,925 workers in the United States, with a modeled error estimate of plus or minus 2 percentage points.
Run engagement, onboarding, and wellbeing feedback in one place, then share results with the people who act.
Engagement fell globally in the most recent measurement year, and the mechanisms behind it are now well documented: stress, stalled advancement, and an overloaded manager layer. These are the numbers to cite when you need to show that retention risk is structural rather than local.
An expert-written engagement template with benchmarks, used more than 339,000 times.
Onboarding data is the thinnest category in published employee experience research, and most of what circulates is either uncited or a decade old. What is well measured is the behavior that decides whether onboarding works: whether a new person will ask a question when they do not understand something.
The figures below all come from the first-party SurveyMonkey study and describe question-asking behavior across the workforce. Read them as onboarding-relevant rather than as onboarding benchmarks.
Wellbeing data in 2025 and 2026 concentrates on one population: the manager layer. Managers report the highest burnout of any organizational level while spending less than half their time on the people work they were promoted to do.
This is the fastest-moving category and the one where first-party 2026 data is most valuable, because most published AI-at-work statistics predate current adoption levels. The pattern in the SurveyMonkey data is consistent: substituting AI for a colleague correlates with more rework, more waste, and more misalignment, and senior people do it most.
Three things follow from the data above. Engagement is declining while the manager layer that most influences it is the most burned out population in the organization, so manager capacity is the highest-leverage place to intervene. And the biggest measurable cost in the 2026 data is not disengagement itself but rework, which is what happens when nobody asks a question early enough.
The practical implication is about cadence rather than instrument choice. A single annual survey cannot detect a manager-capacity problem in time to fix it, and it cannot tell you whether an intervention worked. For how to sequence engagement, onboarding, manager, and exit feedback into one continuous program, see employee experience management.
If you are citing any statistic from this page externally, three rules apply:
The first-party statistics on this page come from the SurveyMonkey State of Curiosity 2026 study, fielded April 3 to 10, 2026 among 1,925 US workers drawn from the more than two million people who take surveys on the SurveyMonkey platform each day, with a modeled error estimate of plus or minus 2 percentage points.
That panel is also what makes it practical to benchmark your own results rather than borrowing someone else's, and SurveyMonkey features include global and industry benchmarks alongside your own trend data.
If your next step is measuring rather than citing, manager survey questions covers the instrument that most directly addresses the manager-capacity finding running through this data.

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