THE DIMENSION
Noticing and checking evidence that conditions or requirements have changed.
The dimension in context
Noticing and checking evidence that conditions or requirements have changed.
You may surface useful changes early when information is available.
You may favor established priorities or receive fewer signals of change.
An illustrative work situation
A service team receives several unusual customer questions during one week. One participant sees a new pattern; another considers the questions ordinary variation. Acting on every difference would create churn, but ignoring a meaningful shift could leave the service unprepared. The task is to identify what would make the signal consequential.
Noticing change is different from accurately interpreting it. A participant may be attentive yet overread a small sample, or miss a signal because the information is scattered across systems. Reflection should separate the observation, the proposed explanation, and the evidence needed before changing the work.
A small practice to examine
Record the unusual questions without immediately labeling them a trend. Compare them with a relevant earlier period and ask a colleague what else could explain the difference. Define the condition under which you would investigate further. This creates a proportionate response to uncertainty rather than rewarding constant alertness.
Continuous scanning can distract from completing stable work.
A question for closer study
How can a study distinguish sensitivity to meaningful change from a tendency to treat every variation as important?
Read the example alongside the research
The following editorial passages come from the linked framework chapters. They provide context for the original teaching example above; the example is fictional and is not a reported study finding.
A proposed simulation could hold the number of messages constant while varying how often a meaningful change actually occurs. The question would be whether MAP responses relate to discriminating checks, such as verifying a changed definition, rather than to indiscriminate escalation. A person might perform sensibly in a noisy environment by ignoring many messages after checking a reliable summary. Another might notice every message yet miss the one dependency that matters. We would therefore examine false alarms and missed changes separately, and ask whether any association survives when participants have equal access to the relevant information. This would test a specific interpretation of sensing, not establish a universal threshold for being adaptable.
Continue: Recognizing change without becoming distracted by every signal →
A change signal is useful only in relation to a task. A fluctuation in demand, a revised rule, or a repeated exception can matter; a vivid anecdote may not. The adaptive-performance literature provides a reason to examine changing conditions, but it does not establish a universal scanning habit that every person should maximize. MAP therefore proposes change sensing as an observable practice with a cost: attention directed toward monitoring is attention unavailable for execution.
Continue: Recognizing change without becoming distracted by every signal →
Change sensing has two different error costs: overlooking a consequential development and escalating a fluctuation that does not require action. Consider a materials coordinator who checks a delivery indicator every morning. A late update might reflect an actual delay, a temporary reporting fault, or a new definition of what counts as dispatched. Counting how often the coordinator raises an alarm would confuse vigilance with accuracy. An informative record would preserve the signal available at the time, the checking action, the eventual explanation, and the disruption caused by responding or waiting.
Continue: Recognizing change without becoming distracted by every signal →
SOURCES AND FURTHER READING
Pulakos et al. - Adaptability in the workplace: Development of a taxonomy of adaptive performance ↗Griffin, Neal & Parker - A new model of work role performance ↗