You can’t improve what you don’t measure, but measuring the wrong things won’t help either.
For business leaders looking to implement custom business software and process improvements, especially with FlowCentric, choosing the right metrics is a critical first step. This article explores how to avoid common measurement traps and select metrics that actually lead to better performance.
Why Metrics Matter (and Where They Go Wrong)
Metrics shape behaviour. The wrong ones encourage short-term thinking, siloed optimisation, or even outright gaming of the system.
According to Key Performance Indicators by David Parmenter, many organisations fail because they treat all KPIs as equally important, or measure what’s easy rather than what’s valuable. Harvard Business Review echoes this, pointing out that metrics must align with strategic objectives to be meaningful.
A good process metric should be:
Are you trying to:
Start by defining a clear objective for your process. Each goal demands a different type of measurement. For example, reducing delays might require tracking cycle times and approval durations, while improving compliance could involve audit trail completeness or policy adherence rates. Once you understand the purpose, you can select metrics that reflect real progress, not just arbitrary numbers.
The people closest to the process know which numbers matter. Involve them in defining what success looks like.
A handful of meaningful metrics is more powerful than a dozen that nobody can act on. Too many metrics dilute focus and confuse teams, making it harder to prioritise improvements. When everyone knows which indicators really matter, effort becomes more targeted, accountability improves, and progress is easier to track.
Focus attention where it counts, which is on metrics that drive decisions and motivate action.
Make sure the data is reliable, regularly updated, and understood by all stakeholders involved. Reliable data builds confidence in decision-making, while outdated or misunderstood figures can lead to false conclusions and poor process decisions.
Always question the origin of your data – if it’s from a manual spreadsheet prone to errors, or if nobody knows how the data is calculated, it’s likely unfit for performance tracking. If you don’t trust the source, don’t use the metric.
Practical Example: Procurement Workflow
Goal: Reduce invoice processing time.
Suggested Metrics:
How FlowCentric Helps
With FlowCentric’s tailored software solutions, organisations gain the ability to:
Metrics should guide, not mislead. Choosing the right ones helps organisations focus energy where it matters and builds the case for continuous improvement – especially when supported by the right software.
Contact FlowCentric to take your business from #ChaosToClarity.