Social and Critical Psychology

Person or Setting? Workplace Explanation Laboratory

Team B at a fictional service centre is exhausted, three people have left in six months, and the ratings are falling. You get the evidence in two rounds, and you commit to an explanation after each one. Then you get a budget that will not stretch to everything.

Fictional case, model-implied outcomes - Kelbridge, its teams and all its figures exist only here

Learning objective

By the end you should be able to say why a real difference between people does not tell you that the cause, or the remedy, lies inside them.

About 20 minutes. Nothing is timed, and nothing you select is saved or sent anywhere.

Two conclusions this is not aiming at

This is not an argument that individual psychological intervention is a con: two people in Team B have a documented skill gap that no rota change will close. Nor is it an argument that structural explanation wins by default - the comparison team was matched at recruitment and is not matched now. The question is never which level is right. It is what each explanation targets and what it leaves running.

How to use this

  1. Commit to an answer to the question below.
  2. Experiment 1: read round 1 of the evidence and commit to an explanation. Then round 2. You may change your mind; what you said each time is kept.
  3. Experiment 2: spend an intervention budget of 10 units and model twelve months. Read what your combination leaves untouched.
  4. Then judge five claims about the case.

The case

The Kelbridge Service Centre is a fictional customer-contact operation with two teams of fourteen on the same floor. Over six months, Team B has lost three staff, its mean score on a validated exhaustion scale has reached 74 out of 100, and supervisor performance ratings have fallen. Team A, across the corridor, has not. A review is commissioned, and it releases what it finds in two rounds.

Suppose the review finds that exhaustion scores correlate 0.61 with performance ratings across the fourteen staff, and that the three people who left were the three most exhausted. What does that finding establish?

Challenge - what does the case license?

Five conclusions somebody might draw from the Kelbridge review. Say whether each is supported, partly supported, or not supported.

What this demonstrates

A real difference between people says nothing about where the cause is

The correlation of 0.61 in Team B is real, orderly and would replicate. It is also entirely compatible with the whole team being at 74 because of a rota. A correlation between people measures how they vary within one setting - and a setting that is constant for everybody cannot show up in it at all. That is not a subtlety about statistics; it is the reason a workplace can produce a textbook individual-differences finding and a structural problem at the same time, and it is why the correlation survives every intervention in experiment 2.

What you conclude depends on when you stop looking

Round 1 contains only individual-level evidence, and the individual-level explanation is the best-supported reading of it. That is not a trap. It is what happens whenever a review is scoped to one level: the evidence that would have pointed elsewhere is not absent from the world, it is absent from the file. Ask who chose the scope, and what it would have cost to widen it.

"The setting" is at least two different things

Round 2 hands you the team and the work together, and they are not the same level. Norms about asking for help live between people; a rota and a target are built into the job before anybody arrives. The distinction matters because it decides what you buy: a debrief in protected time treats the norm, and a rota redesign treats the conditions under which that norm formed. If the relational mechanisms are carrying the effect rather than causing it, treating them alone leaves the source in place - and the team gets a weekly meeting in which to discuss a rota nobody has changed.

Team A is the whole argument, and it is not a randomised trial

Two teams, matched on staff characteristics at recruitment, on the same floor, doing nominally the same job, thirty-six points apart. That comparison is why the structural reading becomes compelling in round 2, and it is worth being precise about its limits: matched at recruitment is not matched now, three people have left Team B, and nobody randomly assigned anyone to a rota. It is strong evidence and it is not proof, and the difference matters if somebody is about to spend money on it.

Every intervention leaves something running

Spend the whole budget on resilience and coaching and the split shifts, the queue and the calls-per-hour target are all still there, quietly reloading the exhaustion the training just discharged - which is why the model halves the effect of resilience training when nothing structural has changed. Spend the whole budget on the rota and the target and two people still have a documented training gap that no scheduling change will close. There is no combination in this laboratory that leaves nothing running, and finding out which residue you can live with is the actual decision.

Where the problem is located, and who carries it

An explanation that places the problem in the staff makes the staff the thing to be repaired: it is cheaper, faster, requires nobody else's permission, and if it fails the failure belongs to the people who were trained. An explanation that places it in the work design implicates a scheduling system, a target and a sign-off policy, all of which belong to somebody more senior. Both explanations can be partly true at once, so the choice between them is rarely settled by the evidence alone - and noticing whose interests each framing serves is part of reading a review, not a substitute for reading it.

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