Software factory feedback loop

Feedback should arrive in time to change the decision

A feedback loop is useful when it is timely, relevant, and actionable. A test that reports a failure while the author still has context can be easier to use than a report arriving days later. A production signal that leads to a clear follow-up can improve the next change. Feedback that is noisy, delayed, or disconnected from ownership can create work without improving decisions.

Software factories contain many loops. Review gives design and correctness feedback. Continuous integration gives build and test feedback. Deployment and observability show how a change behaves in its environment. Customer evidence shows whether the result helped the intended user.

Measure the loop, not just the message count

Useful measures include time from change to feedback, time to resolution, the share of actionable findings, repeat failures, and the rework that follows. A larger number of comments or alerts does not automatically mean a stronger loop. Read samples and outcomes alongside counts.

When changing a loop, compare similar work before and after the intervention. Track whether earlier feedback reduces late-stage waiting or prevents production rework. Keep the source and definition visible so a change in instrumentation is not mistaken for a change in system behavior.

How Weave can help

Weave can connect code and review events to quality and delivery outcomes, helping teams see which feedback patterns precede useful progress or repeated work. Use that view to choose a focused experiment, then validate it with the people receiving the feedback and the systems that produce it.