Sample report. Fictional organisation and invented data, shown so you can see the format.
Harbourline Logistics · 18 people · fictional

Sample Report: Fictional Team Data

This is the same aggregate format a real team receives. Every person and every answer in this example is invented. No individual row, answer or score is shown.

Free Team Snapshot

Operations leadership, three composite patterns

Aggregate only. This example has 18 fictional respondents, above the fixed reporting floor of 5.

Sample report. Fictional organisation and invented data, shown so you can see the format.
Adaptability56likely 42.2–69.8 · 0–100

Band drawn at the minimum width this measurement supports.

Human-Edge Skills61likely 48.2–73.8 · 0–100

Band drawn at the minimum width this measurement supports.

AI Fluency47likely 32–62 · 0–100

Band drawn at the minimum width this measurement supports.

The widest gap in this fictional team is AI Fluency. Read every likely range as part of the result, not as decoration around a point.

Team Diagnostic

Five aggregate indices available today

These are the same panels used by the live team report. Percentiles are not shown, and nothing identifies a person. Diagnostic here means a structured team measurement. It is not a clinical or psychological diagnosis.

Sample report. Fictional organisation and invented data, shown so you can see the format.

Cohesion Index

How joined-up the team feels to the people in it.

Cohesion68likely 56.6–79.4 · 0–100

Unweighted mean of 6 team-perception statements, with its likely range.

Band drawn at the minimum width this measurement supports.

Between-member SD0.64

This is a fictional baseline. It is not compared with other organisations.

Psychological-Safety Spread

Not just the level of safety, how evenly it is experienced.

Safety is unevenly experienced here. The average hides a real split, so read the spread first.

rwg(J) = 0.62 (lead with the mean at ≥ 0.70); observed item variance 1.15 against a uniform null of 4.00.

How members are distributed

Low (1–2.9)
1
Mixed (3–4.4)
5
Positive (4.5–5.9)
8
Strong (6–7)
4

Member means run from 2.8 to 6.7 on a seven-point scale (SD 1.08). The team average of 66/100 is shown below only for the record, it is not the finding here.

Team average (secondary)66likely 54.6–77.4 · 0–100

Band drawn at the minimum width this measurement supports.

The spread leads because the fictional answers do not support treating the mean as a shared experience.

Role-Coverage

Which contributions the team is carrying, and which it is not.

Contribution roleCarried byTeam zFlags

Direction-setter

Names where this is going before anyone asks.

7 / 18+0.61
Covered

Challenger

Says the thing the room is avoiding.

4 / 18+0.19
Covered

Finisher

Closes the last 10 per cent.

2 / 18-0.18
Covered

Synthesiser

Turns four half-arguments into one decision.

5 / 18+0.31
Covered

Connector

Keeps the team joined to the rest of the business.

1 / 18-0.29
Bus factor

Steadier

Absorbs pressure so the work continues.

6 / 18+0.43
Covered

Experimenter

Tries the new tool before it is mandated.

0 / 18-0.56
Gap

Advocate

Represents the people affected by the decision.

3 / 18+0.08
Covered

Operator

Runs the machine and notices when it drifts.

10 / 18+0.72
Over-concentrated

Uncovered: Experimenter. Carried by exactly one person: Connector, if that person is away, the contribution goes with them.

Counts only. Which person carries which role is not shown.

Cognitive-Diversity Index

How differently this team approaches decisions.

Groupthink riskPopulation-typicalAlignment cost
Typically varied0.82ScaleSD in z-space, 1.0 = population

This team sits close to the population norm for variety in decision style, neither an echo chamber nor an alignment tax.

drive decisiveSD 0.76
curiosity conceptualSD 0.91
discipline detailSD 0.72
curiosity inquisitiveSD 0.88
composure evenSD 0.83

Both ends describe trade-offs. This is not a score to maximise.

Risk-Density

How many pressure-tendencies run hot somewhere in the team.

Dimensions running hot2 of 9Under 1 yearn=41–3 yearsn=63–5 yearsn=55 years +n=3
Exacting
peak z +1.16
Risk-averse
peak z +1.04
Guarded
peak z +0.63
Consensus-holding
peak z +0.41

Subgroups are tenure bands with at least three people. Which member sits where is never shown, exported or logged.

Tenure groups contain at least three fictional people. No pattern is attached to a person.

Advisory only. These are fictional team-level patterns measured with error, not a measurement of or a decision about any individual.

Next steps

Choose the level that fits

Sample report. Fictional organisation and invented data, shown so you can see the format.

Adopt AI is operated in Australia by AJILITY PTY LTD, ABN 39 649 782 427, trading as Adopt AI Co. Equilibrium is provided under the registered business name Equilibrium AI, and ApplyAI under Apply AI Co, both trading names of the same company. Adopt AI is not related to the Australian Government AI Adopt Program or to AdOPT AI Pty Ltd. Contact: hello@adoptai.com.au