Measurements

A measurement is one pass of a survey in a specific period. In an open measurement, participants answer via a public link; in a closed measurement, the results, growth points, recommendations, and the baseline for comparison with the next Ask → See → Discuss → Verify round are kept.

A survey lives not as a single report, but as a series of measurements. Each new measurement launches the same survey again and does not erase past answers, results, and discussion.

What a measurement stores

A measurement collects answers only for its own period. Because of this, results do not mix: you can see what the team said in the first round, what changed after working with growth points, and which topics require attention again.

Within the measurement, completion statistics accumulate: how many people started and completed the survey. After finalization, results for the organization, teams, and participants appear, as well as growth points and recommendations.

Open and closed measurement

While the measurement is open, the link accepts answers. If enough responses have been collected, you can finalize manually: the platform will update analytics, but the measurement itself remains open for new participants.

Closing the measurement stops accepting answers and starts final processing. After that, the measurement becomes a saved state snapshot: you can read, compare, and discuss it, but new answers are no longer accepted.

A new measurement opens the next period of the same survey. The team answers familiar questions again, and the platform compares the new snapshot with the previous one.

How to read the comparison

A comparison of measurements shows not just ‘better’ or ‘worse’, but the direction of change. If the team worked on a specific growth point, the next measurement helps you see whether the tension around the related topic has eased.

It is important to look not only at the overall score. Results are read at three levels: organization, team, and participant. The big picture shows the organization’s dynamics, the team breakdown helps you see differences between groups, and the personal result remains separate and is not mixed with management analytics.

Privacy boundaries

The measurement history does not reveal raw answers. Only anonymized answers and aggregates appear in the results, and only when there are enough answers for safe display: at least 5.

If data is sparse in a certain breakdown, the platform hides the detail. This may make the comparison less detailed, but it preserves the main condition of an honest survey: people answer safely, and the team works with the big picture rather than with personal answers.