Start here · Essential guide
Measuring Centralized Operations: Choosing Metrics That Matter
How to choose a small set of operations metrics tied to goals, check that they are usable, and review them on a regular rhythm without drowning in numbers.
Foundations and Reference
Choosing, defining and reviewing measures without fooling yourself.
Start here · Essential guide
How to choose a small set of operations metrics tied to goals, check that they are usable, and review them on a regular rhythm without drowning in numbers.
Practical choices on layout, audience and refresh frequency that decide whether an operations dashboard gets checked or ignored, with tips for keeping it simple.
How to write a metric definition with its purpose, data source, calculation rules and edge cases so that everyone reading the number understands it the same way.
Why recording current performance before a change makes later comparisons fair, and how to collect a baseline period, handle seasonality and note what else changed.
The difference between early-signal and outcome measures, with simple illustrative examples from IT, finance and supply chain, and how to combine them sensibly.
Ways to describe what central functions such as IT, finance or HR deliver beyond their cost, including service volumes, quality, risk reduction and stakeholder views.
How to structure recurring performance reviews so metrics lead to decisions and follow-up actions, covering agenda, attendees, preparation and common pitfalls.
Common service desk measures such as resolution time, first contact resolution, backlog and satisfaction, what each shows, and how each can mislead if read alone.
How performance targets can distort behavior, with common patterns and practical ways to design measures that are harder to game and less likely to backfire.
Related topics