Do HR teams score their own engagement higher than everyone else?
HR designs the engagement surveys, runs the recognition programs, and reports the company eNPS. But HR rarely segments its own score. When we did, HR teams came out 8.6 points ahead on average. In 38% of companies, they came out behind.
There is an old assumption in people teams that HR is the disengaged caretaker: the function that builds engagement programs for everyone else while quietly running on empty. It is a vivid story. The phrase even has a name borrowed from the proverb, "the cobbler's children have no shoes." But it is a story, not a measurement.
We measured it. Using 12 months of eNPS responses from companies on the Happily platform, we identified HR teams in each organization, computed their eNPS, and compared it to the eNPS of everyone else in the same company. The question was simple: do HR teams score their own engagement differently from the people they survey?
Across 21 organizations that met the sample thresholds, the answer is yes, and the direction is the opposite of the caretaker story. HR teams report eNPS scores that average 8.6 points higher than their non-HR colleagues. The median gap is +10.0. But the average hides a split worth taking seriously: in 8 of those 21 companies, HR scored below the rest of the organization.
HR engagement is treated as a given. Leaders assume that because HR runs the engagement function, HR is itself engaged. This data says that holds about six times in ten. The other four are the companies where a disengaged HR team is quietly running every culture initiative the business depends on.
How we measured it
eNPS, the employee net promoter score, is the standard one-question engagement metric: the share of promoters (scoring 9 or 10 on a 0-10 likelihood-to-recommend scale) minus the share of detractors (0 to 6). It runs from −100 to +100.
For each company we identified HR teams by matching team names against a keyword list in both English and Thai, covering HR, Human Resources, People Ops, People & Culture, Talent Acquisition, Recruitment, L&D, HRBP, and the Thai equivalents. Team names containing "People" but referring to non-HR functions, such as "People & Tech", were excluded as known false positives. We then computed HR eNPS from members of those teams and non-HR eNPS from everyone else in the same company.
To keep the comparison stable we required at least 3 HR responses and 10 non-HR responses per company. Twenty-one companies cleared that bar. The gap reported for each company is HR eNPS minus non-HR eNPS, so a positive number means HR scored higher.
d = 0.283 (small): mean gap divided by the standard deviation of gaps.One property of eNPS matters before reading any of the numbers below. The metric is volatile in small samples. HR teams in this sample average 2 to 5 respondents. With a 5-person team, one person moving from a detractor to a promoter swings the team's eNPS by roughly 40 points. That volatility is visible in the results, and it shapes how much weight any single company's gap can carry.
Finding 1 — HR scores higher, but the spread is wide
Across the 21 companies, the mean eNPS gap is +8.6 points and the median is +10.0. Both point the same way: HR teams, on balance, report engagement above their colleagues. The effect is consistent in direction but modest in size, with a Cohen's d of 0.283, which is a small effect by conventional benchmarks.
| Statistic | eNPS gap | Mean score gap (0-10) |
|---|---|---|
| Mean | +8.6 | +0.29 |
| Median | +10.0 | +0.23 |
| Standard deviation | 30.5 | 0.64 |
| Q1 (25th percentile) | −11.2 | — |
| Q3 (75th percentile) | +16.9 | — |
| Cohen's d | 0.283 | — |
The standard deviation of 30.5 points is the number to sit with. It is more than three times the mean. A spread that wide tells you the +8.6 average is not a tight, reliable pattern that every company exhibits. It is a center of gravity around which companies scatter widely, with the first quartile sitting in negative territory at −11.2.
"HR scores +8.6" is true as a sample mean, but with a standard deviation of 30.5 it is not a prediction for any individual company. Treat it as evidence the caretaker stereotype is wrong on balance, not as a benchmark your own HR team should hit.
Why might HR tend to score higher? The data cannot prove a mechanism, but four are plausible. People drawn to HR roles may carry higher organizational attachment to begin with, a selection effect. HR teams often sit close to leadership, and proximity to decision-makers is a known driver of engagement. HR are the cultural custodians who design the engagement programs and may internalize the values they promote. And HR teams are small and cohesive, and small close-knit teams tend to score well on engagement measures, an effect the eNPS formula amplifies in small samples.
Finding 2 — The gap is largest in small companies
Splitting the 21 companies by headcount shows the HR-above-average pattern is strongest in the smallest organizations and narrows as companies grow.
| Segment | Companies | Mean eNPS gap | SD |
|---|---|---|---|
| Small (under 50 employees) | 8 | +14.1 | 37.3 |
| Medium (50–199) | 10 | +5.0 | 28.3 |
| Large (200+) | 3 | +6.3 | 25.0 |
Two readings sit behind this. One is genuine: small companies put HR physically closer to leadership and to the whole workforce, which amplifies the proximity and cohesion effects. The other is mechanical: in a small company the HR team is a larger fraction of a smaller whole, and small-sample volatility is highest, so the +14.1 in the small segment also carries the widest standard deviation at 37.3. With only 3 large companies in the sample, the large-company figure in particular should be read as directional, not settled.
Finding 3 — The bellwether question stays open
The more interesting hypothesis behind this study was a lead-lag one. If HR teams sit closest to the culture, do changes in HR eNPS arrive before changes in the rest of the company? An HR team that is the first to feel a downturn would be a useful early-warning signal, a bellwether.
We could not test it. Building a monthly HR and non-HR eNPS time series per company, with a minimum of 2 HR responses and 5 non-HR responses per month and at least 6 valid months, left exactly one qualifying company. HR teams are too small and eNPS surveys too infrequent to produce reliable month-by-month HR scores. Most monthly bins held 0 to 2 HR responses.
The bellwether hypothesis is plausible but untestable with current data. The single qualifying company showed a near-zero contemporaneous correlation (r = 0.019) and mixed results at other lags, but with n = 1 those values are uninterpretable. A directional check found 2 instances of HR scores dropping 0.5+ points; in one case non-HR scores fell the next month, in the other they did not. With n = 2, that is noise, not a finding. We cannot confirm or deny that HR eNPS leads company eNPS.
The honest conclusion is that the data granularity required, monthly HR-specific eNPS with enough respondents, exceeds what most organizations produce. A future study could use quarterly windows instead of monthly, or pool several people-facing functions together (HR plus Admin plus L&D) to reach a testable sample. Until then, the bellwether claim is a hypothesis, not a result.
What this means
The data tells a clear story about levels and an unfinished story about trajectories. On levels: HR teams are, on balance, not the disengaged caretakers the stereotype assumes. They score moderately higher than their organizations. But the 38% where HR scores lower is where the attention belongs, because that is where the cobbler's-children problem is real.
| If you are… | Do this |
|---|---|
| A CHRO or HR leader | Segment your own team's eNPS. Most HR leaders track the company-wide score and never break out their own function. You cannot manage what you do not measure. |
| An HR team scoring below average | Treat it as urgent, not embarrassing. A disengaged HR team is a leading risk to every other engagement program it runs. Check for burnout and workload before the next survey cycle. |
| A senior leader | Stop assuming HR engagement is automatic. HR designing engagement programs does not mean HR is engaged. When HR disengages, employees notice the credibility gap. |
| Running a small team anywhere | HR's edge likely comes from small-team dynamics: visibility, cohesion, and leadership access. Those are transferable. Engineer them into other small teams. |
Add a single filter to your next eNPS readout: HR team versus everyone else. It costs nothing, it takes one cut of data you already have, and it tells you which of the two stories in this study, the +8.6 one or the 38% one, is yours.
Limitations
This study measures a 12-month snapshot of eNPS levels, not their causes and not their movement over time. Several caveats shape how far it travels.
- Small HR team sizes. The average HR team here has 2 to 5 respondents. eNPS is designed for samples of 50 or more. Small-sample volatility inflates the spread and makes any single company's gap unstable.
- Team classification accuracy. Keyword matching can miss creatively named HR teams or misclassify HR-adjacent ones. Known false positives such as "People & Tech" were excluded, but edge cases remain.
- Selection bias. Every company in the sample uses the Happily platform and is already investing in engagement measurement. HR teams here may be more engaged than HR teams at organizations that do not measure engagement at all.
- Cross-sectional, not longitudinal. This is one 12-month window. We cannot tell whether HR consistently scores higher or whether the gap fluctuates within companies.
- Correlation, not causation. The gap may reflect team size, selection effects, or response bias rather than a genuine engagement difference.
- Bellwether analysis underpowered. Only one company qualified for time-series testing. The lead-lag hypothesis remains untested, not disproven.
- Sample of 21. Adequate for detecting an average effect, but it limits subgroup analysis. The size segments hold only 3 to 10 companies each.
Happily Research (2026). Do HR Teams Score Their Own Engagement Higher?. happily.ai/research/hr-enps-bellwether/
References
- Reichheld, F. (2003). The One Number You Need to Grow. Harvard Business Review, December 2003. Origin of the Net Promoter framework adapted here as eNPS.
- Cohen, J. (1988). Statistical Power Analysis for the Behavioral Sciences, 2nd ed. Lawrence Erlbaum Associates. Source of the small / medium / large effect-size benchmarks used to interpret d = 0.283.
- Happily Research (2026). HR Team eNPS vs Company Average. Internal analysis, 15,067 eNPS responses across 21 paired companies, 12-month window ending February 25, 2026.
Happily turns everyday eNPS and feedback into a live read on every team, including the one running the survey, so HR can spot a disengaged function before it undermines the rest.
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