Data & Feedback

Feedback loops

Feedback loops connect action to evidence so teams can see whether a decision is working and adjust before drift becomes expensive.

Definition

A feedback loop is a recurring path from action to signal to interpretation to adjustment.

What this term depends on

Signal
A result, behavior, exception, or friction point shows what is happening in reality.
Interpretation
People decide what the signal means and whether it changes the understanding of the work.
Adjustment
A decision, rule, workflow, or investment changes because the signal mattered.

Why it matters

Modernization needs evidence that changes behavior, not dashboards that confirm activity.

Watch out for

  • Signals that are collected but never change decisions
  • Lagging metrics that arrive after the cost is locked in
  • Feedback that reaches a report but not the team doing the work

Use feedback loops when learning needs to become part of the operating system.

A loop is only real when the signal can change the next decision.