A total can mix people or items at very different stages. New readers and long-time readers, for example, may have had different opportunities to return or complete a task.

A cohort groups observations by a shared starting condition, such as the period in which an activity began. Compare like stages and keep the inclusion rules explicit. The grouping should fit the question rather than be chosen because it produces a striking pattern.

Check the size of each group and the time available to observe it. A recent cohort may have an incomplete window. Naming the shared start makes the comparison easier to assess while keeping those differences visible.

A few starting points
  1. Define the shared starting condition.
  2. Compare equivalent stages.
  3. Check group size and available observation time.

Bring the idea into a day.

Consider two reading guides tested by readers with different prior experience. The comparison needs context about that difference as well as their completion times.

Another angle on the story.

Keep the question beside the number. A measure is easier to interpret when the reader knows which decision or comparison it was intended to support.

Follow a related question

Compare one object under two light sources.

A color depends on the light

Distinguish model training from inference.

Training and use are different stages

Keep learning

Related background to continue exploring this subject.

NIST: statistical engineering NIST: the International System of Units
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