Lessons tagged “measurement”
16 published lessons with this tag.
Track where your attention actually goes
Most people are wrong about how they spend their attention — measure it.
Build measurement into your processes
If you cannot measure an outcome you cannot build a feedback loop around it.
Leading indicators for faster feedback
Measure things that predict outcomes rather than waiting for outcomes themselves.
Feedback from reality versus feedback from people
Direct results and other peoples reactions are both valuable but different types of feedback.
Design your own feedback mechanisms
Do not wait for feedback to arrive naturally — engineer feedback into your systems.
Feedback loop hygiene
Regularly check that your feedback loops are still connected to meaningful outcomes.
You cannot improve what you do not monitor
Agent monitoring provides the data you need to optimize your cognitive systems.
Define success metrics for each agent
Every agent needs a clear definition of what success looks like in measurable terms. Without operational metrics, monitoring produces noise instead of signal.
Agent reliability metrics
Track how often each agent fires when it should and does not fire when it should not.
Monitoring creates accountability
The act of measuring creates a commitment loop — what you track, you take responsibility for.
Benchmark before and after
Without a baseline measurement, you cannot know whether your optimization actually improved anything.
Premature optimization wastes resources
Optimizing before you understand the system is the root of much wasted effort.
Workflow measurement
You cannot improve a workflow you do not measure. Track cycle time, throughput, error rate, and energy cost — but track them lightly, because invasive measurement distorts the very process you are trying to understand.
Output measurement
Track which outputs produce the most value to focus your production on high-impact types.
The behavior experiment protocol
Define the behavior measure the baseline try the intervention measure the result.
Measuring systemic change
Define how you will know the system has actually changed, not just appeared to change. Systemic change is real only when the system produces different outcomes under normal operating conditions — without extra attention, heroic effort, or temporary workarounds. Many change efforts produce initial improvements that fade as the organizational attention moves elsewhere, revealing that the system itself did not change — only the effort level did. Measuring systemic change requires distinguishing between surface changes (different activities within the same system) and structural changes (different system dynamics that produce different outcomes naturally).