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Executive Intelligence · Workforce and Leadership

Employee Experience Trends

Aggregated, anonymised trends from a survey or feedback source, with the existing minimum-group-size disclosure rules.

Demonstration: Wexcombe Retail Group (fictional) · Retail. Fictional data and a scripted answer.

The situation

Organisation
Wexcombe Retail Group (fictional)
Who is asking
Chief people officer
Industry
Retail
What happened
The engagement survey shows lower scores in the distribution centres, and leaders are offering explanations that the data may not support.

The question asked

What does the survey and HR data actually show about experience in the distribution centres, and what are we assuming?

What it reads, and who can see the result

  • Engagement survey results (aggregated) exportScores by site and theme, with minimum group sizes.
  • HR aggregates exportTurnover and absence by site.
Reads
Aggregated survey scores and HR rates, with small groups suppressed.
Does not read
Individual responses or comments that could identify a person.
Permission
People analytics access to aggregates.
Who sees it
The chief people officer and the site directors.

Try it

Choose which statements go into the brief. A statement with no source is refused; each one you include carries its sources with it.

  • RecordedS1
  • RecordedS1
  • RecordedS2
  • EstimateNo source
  • CalculatedS1S3
  • EstimateS1S3

Employee experience: distribution centres

Choose the statements to include. Each one carries its sources into the brief.

0 of 6 statements included · 1 held back for lack of a source.

The answer

Simulated answer. Written for this fictional case, not produced by a live model. Only the figures in it are computed, from what you decided above.

0 statements are in the brief; 1 was held back as an assumption.

The brief states what the survey and HR data show and where the pattern lies: the lowest themes, the turnover gap and the link between the shift pattern and the score [S1][S2][S3]. It names no individual and no group small enough to identify one.

The popular explanation, that the bonus scheme is the cause, has no support in the data and is not stated; the shift-pattern link is a correlation, labelled as such, and the effect of changing the pattern is an estimate.

Relies on: S1 · Engagement survey, aggregatedS2 · Turnover and absence by siteS3 · Shift pattern summary

Review and approval

The chief people officer decides. Approving shares the brief with the site directors. It does not change any policy or identify any employee.

Not ready to approve. Choose at least one supported statement for the brief first.

In the product this is a different person with the right permission. Here you play that role to see the rule.

What it produces

reportDraft, not approved

Experience brief

  • 0 sourced statements; 0 labelled estimate.
  • Data cited: 0.

Limits of this example

  • A correlation is not a cause.
  • Aggregates hide differences between teams on the same site.
  • This is a scripted demonstration on fictional data. No model was called and no real organisation, person or result is shown.