A production company’s sales manager wants to understand why the order process is so slow. The accounting department points to delayed payments, the warehouse complains about excess stock, and customer service reports inconsistent delivery dates. Everyone has a different problem and everyone brings their own numbers. There are dozens of figures on the table, yet no one can clearly show where the process is actually getting stuck. This situation illustrates precisely why process performance indicators need to be designed with care.
One of the most common mistakes in business process management (BPM) projects is trying to measure everything that can be measured. It is entirely possible to define fifteen or twenty indicators for a single process, but as that number grows, the contribution of each indicator to management decisions diminishes. The real challenge is selecting a small number of meaningful indicators that genuinely reflect process performance and tracking them consistently over time. In practice, this selection discipline is often called ‘indicator design,’ and it forms the backbone of any serious BPM initiative.
Thinking across four dimensions makes indicator design considerably more manageable: time, cost, quality, and volume. The time dimension measures how long a process takes from start to finish; the number of days between order receipt and shipment is a straightforward example. The cost dimension captures resource consumption; cost per order transaction falls into this category. The quality dimension reflects error-free completion rates or customer satisfaction; incorrect shipment rate and return percentage are typical quality indicators. The volume dimension shows how many transactions were processed in a given period and provides the context needed to interpret the other three dimensions meaningfully.
When the order process is examined through these four dimensions, selecting no more than one or two indicators per dimension makes for a sensible starting point. For time, ‘order fulfillment cycle time’ (days from order receipt to delivery); for quality, ‘on-time delivery rate’; for cost, ‘total processing cost per order’; and for volume, ‘monthly order count’ — these four indicators are both understandable and measurable. Tracked together, they make it far clearer where the process slows down, where costs accumulate, and in which periods quality drops.
The most critical step in indicator selection is agreeing upfront on the data source and calculation method for each indicator. When the team says ‘order fulfillment cycle time,’ everyone must understand the clock in the same way. Does it start when the customer sends an e-mail, when a record is opened in the system, or when formal approval is given? These definitional ambiguities cause different departments to produce different numbers for the same indicator, which seriously undermines the credibility of the entire BPM project. Experienced project teams treat indicator definition documents like contracts, circulating them for sign-off from all stakeholders before measurement begins.
In practice, data quality is the biggest obstacle. In many mid-sized Turkish companies, process data is still scattered across separate systems: the accounting software stands alone, the warehouse management system is separate, and sales tracking often lives in Excel spreadsheets. In this fragmented landscape, calculating an indicator means manually consolidating data every single month. To shorten the reporting cycle and reduce error, the first step is mapping all data sources; the second is establishing reliable methods for extracting data from those sources on a regular basis. Some companies turn to ODBC connections or flat-file transfers at this stage, though these approaches tend to create maintenance overhead over time.
Deciding how many indicators to define for a process before the BPM project begins has a direct bearing on the project’s success. Keeping the indicator count between four and five maintains a manageable monitoring workload and allows decision-makers to grasp the process without drowning in tables. The four indicators described above for the order process form a solid starting set. After tracking them consistently for several quarters, the team can add new indicators if needed or revise existing ones based on what they have learned. Holding the indicator set stable and building up comparable data over time delivers far more value as a management tool than any one-off measurement ever could.
This article was originally written in Turkish by Gökhan MERCANOĞLU on April 9, 2007 and has been automatically translated into English and other languages using machine translation.