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Engagement problems come in three kinds

Hiring, structure, leadership. A score on its own cannot tell you which one you are looking at, and the three take different money to fix.

Top quartile against bottom quartile

One in five employees worldwide is engaged at work, the lowest that figure has been since 2020.[1] What the distance between a high-engagement unit and a low-engagement one is worth has been measured across 183,806 work units and 3.4 million people in 90 countries.[2] The median differences:

23%

higher profitability

78%

lower absenteeism

51%

lower turnover, where turnover is normally low

63%

fewer safety incidents

32%

fewer quality defects

10%

higher customer loyalty

Almost everybody measures it

Far fewer get back something they can spend against. Three things go wrong on the way.

  1. The score arrives without a cause

    An engagement index reports how people feel this quarter. It does not report which of the things you control produced the feeling, so the survey closes and the argument about what to do starts from nothing.

  2. Reading it depends on somebody else's company

    Percentile norms turn your number into a rank against a benchmark group you did not pick. Employers sit close together on these indices, so small movements travel a long way. One raw point on a hundred-point index once moved an organization fifteen percentile places.

    The arithmetic behind that one point

  3. And so the answer is manager training, again

    The manager is the one lever the data appears to name, so that is where the budget goes. Three separate meta-analyses put the manager behind both what a person brings to the job and how the work is designed.

What we do instead

One answer for each of those three.

The largest predictor is inside the instrument

What a person brings predicts engagement better than anything the job supplies, and most instruments average that away. MISSION measures both sides, so a result can say whether engagement tracks with who you hired, how the work is built, or who is running it.

The evidence, in four meta-analyses

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A scale that carries its own instruction

Every item runs from minus two, do less, to plus two, do more. A negative average means too much of something and a positive one too little, and that reads the same way in any company. Twenty-eight items mirror the DRiV drivers; two more cover effort and intent to stay.

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Where to place the bets

A dashboard ranks your scores and stops. We run the linkage against the results you already report on, with relative weights across the drivers, so the two or three findings actually moving the outcome come back as a short list with an owner on each.

A worked example, with every figure in it invented

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Sometimes the answer is that you are hiring the wrong people

No amount of manager training fixes an engagement problem that starts with who you attract. A survey that averages individual differences away cannot tell you that is what is happening.

Already sitting on survey data

Plenty of organizations have years of it that nobody has properly analyzed. Often that is the quickest place to begin.

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What benchmarks are actually for

September 16, 2026 · 6 min read

  • One raw point on a hundred-point engagement index moved an organization from the 60th percentile to the 75th.
  • Work the arithmetic backwards and the standard deviation between employers is about 2.4 points, so 95 percent of benchmarked organizations sit inside a ten-point band.
  • Two of the three jobs a benchmark does have an internal answer: directional items fix comparability, driver analysis finds the returns.
  • Norms still earn their cost on soft organizational items where no better external dataset exists, which includes the one this whole argument started with.

On one engagement survey I worked on, compensation came back as the worst item on the page. Somewhere around 66, against an average of about 77 across everything else we asked. Eleven points below the rest of the survey. From inside the building there is only one sensible reading of that, which is that pay is the problem and pay is where the money should go.