Median, not marketing average
We benchmark against the industry median because it resists outliers and inflated self-reports, and we show you the segment it came from.
CU-01 CULTURE
A score without a reference point is trivia. Every Assessmentcloud result comes with the industry median beside it, and this page explains exactly how that median is built.
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This is one person's read of the company. The real report asks your people the same questions anonymously, twelve per area, and scores what they answer rather than what you assume. Your first assessment is free.
ILLUSTRATIVE SCORES. DIAGNOSTIC INPUT, NOT A CERTIFIED AUDIT.
DIRECT ANSWER
Employee engagement benchmarks are reference values that show how your survey results compare with other companies, most usefully within your own industry, because a 72 in logistics and a 72 in software mean different things. Assessmentcloud benchmarks every dimension score against the industry median: the middle value among companies of your industry and size band in our benchmark dataset, recalculated on a rolling basis. We use the median rather than the average because assessment score distributions are skewed and a median resists being dragged around by outliers. Our methodology is deliberately transparent: you see the median tick next to your caret on every benchmark rail, the industry and size band it came from, and your percentile. Where a segment does not yet have enough companies for a stable median, we say so and show the nearest broader segment instead of inventing precision. Benchmarks cover all five dimensions, so you can see where you stand on engagement, process, digital, skills, and compliance readiness in one report. In our benchmark data, teams consistently misjudge which dimension is actually their outlier, which is the whole argument for measuring against a median rather than a hunch.
Go deeper: this dimension works alongside employee engagement surveys and digital maturity assessment, and the guides on what is enps and organizational health index show the frameworks behind the scoring.
Before comparing your result to anything, check the unit. The widely cited engagement benchmarks are reported in at least four incompatible forms, and most bad benchmark conclusions come from comparing across them rather than within them. Figures below were checked at the publisher on August 3, 2026.
| Benchmark source | What it reports | Latest published figure | Only comparable to |
|---|---|---|---|
| Gallup, State of the Global Workplace 2026 | The share of employees clearing Gallup's engagement threshold on the Q12 item set, sampled nationally rather than drawn from a customer base | Global engagement fell to 20 percent in 2025, the lowest since 2020. Manager engagement fell to 22 percent, down nine points since 2022, with US manager engagement at 36 percent | Other threshold-based percentages using the same items and the same cutoff |
| Vendor 5-point mean benchmarks | The arithmetic average of every response on a 5-point agreement scale, aggregated across that vendor's client base | CultureMonkey publishes a cross-industry mean of 3.91 and a median of 3.92 across 10.2 million responses, 500 or more companies, and 8 sectors, covering January 2024 to March 2026 | Other means on a scale of the same length, ideally from the same item bank |
| Favorability benchmarks | The share of responses that were positive, normally a 4 or 5 on a 5-point scale, which discards the distinction between mild and strong agreement | Reported per vendor and per item rather than as one headline number. A working rule in common use is that 70 percent favorable or better is healthy | Other favorability figures using the same positive cutoff |
| eNPS benchmarks | Promoters minus detractors on a 0 to 10 recommendation question, producing a range of -100 to +100 | Any positive value means promoters outnumber detractors. Above +20 is generally treated as good, above +50 as excellent | Other eNPS figures, and only after segmenting by tenure, which shifts it heavily |
| Assessmentcloud industry medians | The middle company in your industry and size band across five dimensions, scored 0 to 100 and recalculated on a rolling basis | Shown live on each benchmark rail with your percentile and the segment it came from. Thin segments are widened rather than reported as false precision | Other Assessmentcloud scores, which is the point: one instrument, repeated, so the trend is real |
The reason this table exists is that the single most common benchmarking mistake is a unit error, not a data error. Dividing a 3.91 mean by five to produce a favorability percentage, or setting an eNPS target against an engagement percentage, both produce a confident number that means nothing. The second most common mistake is treating an external benchmark as a target when your own prior score is available: same questions, same scale, same population, and no methodology mismatch to argue about. Use external figures for orientation and your own trend for decisions. Our employee engagement benchmarks guide works through the industry-by-industry figures and the comparison rules in detail, and the eNPS explainer covers why tenure mix moves that particular metric so much.
We benchmark against the industry median because it resists outliers and inflated self-reports, and we show you the segment it came from.
Not just engagement: process, digital, skills, and compliance readiness each carry their own industry median, in the same report.
See the share of companies in your segment scoring below you, which turns "74" into a sentence a board understands.
Thin segments are flagged and widened rather than papered over. A benchmark you cannot trust is worse than none.
Run any assessment
Every Assessmentcloud assessment is benchmarked automatically. Set your industry and size band during setup.
Read your position
Each dimension shows your score, the industry median tick, and your percentile within the segment.
Track your movement
Re-assess on a cadence and watch both lines: your score, and the median as your industry moves under you.
From anonymized, aggregated assessment results across Assessmentcloud customers, grouped by industry and size band and recalculated on a rolling basis. No individual company is ever identifiable in a benchmark, and segments below a minimum company count are widened before being shown.
Assessment scores are not normally distributed: a few very high or very low companies can drag an average somewhere unrepresentative. The median is the actual middle company, which is the comparison leadership teams are really asking for when they say "how do we compare".
It depends on your industry, which is the honest answer benchmarks exist to give. As a rough orientation, medians in our data mostly sit in the low-to-mid 60s on a 0 to 100 scale, but the useful question is your distance from your own industry median and your movement since the last assessment.
An industry benchmark is a reference value drawn from a group of comparable organizations, used to judge whether your own measurement is normal, strong, or a problem. On its own a score of 61 means nothing. Against a median of 54 for companies like yours it is a modest strength, and against a median of 71 it is a gap worth funding. The benchmark supplies the only thing a raw number lacks, which is context.
Four steps. Pick the measures that actually decide outcomes for you rather than the ones easiest to collect. Define the comparison group narrowly enough to be meaningful, since industry alone is usually too coarse and company size and region matter. Measure your own position with the same definitions the benchmark uses, which is where most comparisons quietly break. Then rank the gaps by size and fix the widest, rather than treating every below-median figure as equally urgent.
Common ones include voluntary turnover rate, time to fill an open role, absence rate, training hours per employee, engagement or eNPS scores, and internal promotion rate. Operational equivalents include process cycle time, rework rate, and system adoption. The benchmarks that change decisions are the ones tied to a cost you already carry, which is why turnover and cycle time get funded and softer indices often do not.
ILLUSTRATIVE FIGURES. NOT CUSTOMER DATA.
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