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Cluster

Visibility

The visibility cluster covers principles that ensure background AI work remains perceptible, feedback matches user attention levels, and operational state is exposed without surfacing internal complexity.

Key Facts

Cluster
Visibility
Principles
3
Linked examples
6 implementation library examples
Principle titles
Ensure that background work remains perceptible; Align feedback with the user’s level of attention; Expose meaningful operational state, not internal complexity
What is the visibility cluster?

The visibility cluster covers principles that ensure background AI work remains perceptible, feedback matches user attention levels, and operational state is exposed without surfacing internal complexity.

Ensure that background work remains perceptible
Align feedback with the user’s level of attention
Expose meaningful operational state, not internal complexity
What failures does the visibility cluster prevent?

The visibility cluster addresses failures where The user cannot determine whether the task is active, delayed, blocked, or failed. It also covers cases where The system becomes either excessively opaque or unnecessarily burdensome. It also covers cases where The system either obscures important status or overwhelms the user with irrelevant mechanics.

Ensure that background work remains perceptible: The user cannot determine whether the task is active, delayed, blocked, or failed.
Align feedback with the user’s level of attention: The system becomes either excessively opaque or unnecessarily burdensome.
Expose meaningful operational state, not internal complexity: The system either obscures important status or overwhelms the user with irrelevant mechanics.

Principles in this cluster

Implementation examples