A faster deployment frequency is not automatically a better business result. Metrics need a line of sight to the operation they are meant to improve.
Technical measures such as lead time, failure rate and recovery time describe the delivery system. They become decision tools when paired with outcomes such as order completion, case resolution, customer effort or operational loss.
What good engineering looks like
Build a small measurement chain. Start with the business capability, identify the change mechanism, choose a delivery measure and observe the outcome. Avoid targets that encourage teams to optimise one number at the expense of quality or usefulness.
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Use trends and distributions, not isolated averages.
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Segment by product and risk class.
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Review measures with engineering and operational owners together.
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Investigate changes before rewarding or blaming teams.
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Retire metrics that no longer support a decision.
A practical starting point
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Choose one business capability under active improvement.
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Write the expected cause-and-effect chain.
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Select one delivery and one outcome measure.
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Review them together for four delivery cycles.
The decision to make
A good metric changes a decision. If nobody acts differently after reading it, the dashboard is reporting rather than managing.