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Feedback loops

Feedback loops are how the system learns. They turn objections, drop-offs, and lead quality into signals, so you improve the system based on reality, not hope.

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What it is

A feedback loop is how the system learns.

It converts reality into improvement:

  • objections → clarity
  • drop-offs → redesign
  • wrong leads → targeting changes
  • weak close rate → offer adjustment

Why it matters

Without feedback loops, you repeat the same actions while hoping for a different outcome.

A system without learning becomes a ritual.

What “good” looks like

You can point to a recent change and say:

  • “we did X because we observed Y”
  • “it improved Z”
  • “so we will now standardize it”

Next step:

Feedback requires measurement or it becomes storytelling.

Explore next: Metrics