Measuring impact without fooling yourself
On This Lesson 4 topics
This lesson is planned. The outline below lists the topics it will cover. The full lesson has not been published yet.
In this lesson
measure real effect with honest metrics.
Planned topics
- Vanity metrics (lines generated, suggestions accepted) say activity, not value.
- Use delivery metrics (lead time, deployment frequency), quality metrics (change failure rate, defect rate, rework), and developer experience (survey, time on toil).
- Measure review load: more code can mean more review time.
- Beware novelty effect, selection bias (enthusiasts self-select), and short windows.
- Report uncertainty and negative findings.
Draft outline details
Demonstration
A measurement plan table: question | metric | baseline | pilot | control | decision rule.
Check your understanding
Why is "percent of code generated" a weak success measure?
Show answer
It measures usage, not whether delivery or quality improved.
Practice
Apply this lesson with the module's lab, exercises and quiz.
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