KPI Management: Define Metrics and Accountable Review

A prioritised KPI catalogue with definitions, sources, calculation examples and owners. It also includes rules for approval, change and handling unresolved values.

This engagement establishes what a metric means and how it is calculated. Dashboard development implements those decisions in views, filters and an operated report; that can follow as a separate implementation step.

We start with goals, existing reports, data sources and examples of conflicting values. Missing information becomes an explicit clarification task rather than being silently replaced with assumptions.

Each metric is linked to a question, decision and owner. Metrics without a clear use are deferred, and conflicting objectives are discussed with the affected teams.

That depends on the process and decisions involved. We examine overlap and information gaps instead of presenting a fixed number as universally optimal.

It contains purpose, formula, unit, denominator, period, filters and data source. Business ownership, refresh arrangements and known limitations complete the definition.

We compare definitions using the same example cases. Legitimate differences remain when they answer different questions; those variants are named explicitly rather than incorrectly unified.

We establish expected results for representative data and edge cases. The technical calculation is compared with them, and discrepancies receive an explanation or an open investigation task.

Missing, late and inapplicable values are distinguished. Exclusion, estimation or separate display requires a business decision that remains visible in the report.

We document the baseline, rationale and intended action. A traffic-light colour alone is not a management process; responsibility and response must also be agreed.

We record which operational measure is expected to contribute to which goal. Assumed relationships remain hypotheses; displaying metrics together does not establish causation.

A proposed leading indicator is examined using historical and subsequently observed data. Predictive accuracy, gaps and changing conditions are assessed without inferring a prediction guarantee.

A business owner decides its meaning and use. Data and system owners manage delivery and calculation, with approvals and cover arrangements explicitly agreed.

Formulas, filters and sources receive traceable versions and effective dates. Affected reports and time series are checked before transition so a methodology change is not mistaken for a business change.

We map suitable metrics to agreed outcomes and clarify periods and measurement rules. Not every existing metric needs to become a key result; the relationship follows the specific objective.

The tool must implement the agreed definitions and permissions. We assess the actual implementation; changing products does not automatically resolve conflicting business definitions.

We clarify applicable terminology, data and evidence with your business owners. External definitions retain their source and date; a general KPI catalogue does not replace a separate regulatory assessment.

Observable goals such as fewer reconciliation cases or traceable calculations are agreed at the start. Effort and change are compared with the baseline; generic return promises are not project evidence.

We examine whether a metric could reward unwanted behaviour or hide important counter-effects. Complementary measures and regular business reviews help keep those risks visible.

Owners review specifications and examples and practise the review process. Open data issues receive an owner and next step, while untested metrics remain labelled as such.