Performance Measurement Systems
The next step in the process is to develop
performance measures to focus attention on and monitor our
performance relative to the CSFs. Organizationally, responsibility
for determining what is to be measured should reside with
representatives of the customer organization being measured, and
responsibility for tracking
performance should reside with the organization
being evaluated using the concepts of self-assessment and quality
at the source.
The keys to effective performance measurement
are well known, but all to often ignored. First, the measurement
criteria must be developed in conjunction with the individual,
function, or organization being measured. The ultimate goal here
is not just to monitor status, it is to improve performance, thus
it is important to have the "buy in" of the group
responsible for making it happen. That group is in the best
position to point out the variables that must be improved in order
to optimize performance. It is on those variables that the
performance measures should focus, filtering out any extraneous
data.
That group is also in the best position to
identify the variables within their control, relating to a second
key to effective performance measurement. If the group is to be
held accountable for improving performance of a function or
process, that group must have responsibility for the key
activities that impact that function. In fact, since CSFs
typically cross lines of organizational responsibility, it may
be necessary to establish multiple performance measures for a
given CSF in order to properly align the measures with functional
responsibilities.
Other attributes of an effective performance
measurement system include ease of data collection, timeliness,
frequency, trend identification, and transparency. Timeliness
refers to the time lag between data collection and publication of
the measurement, naturally the shorter the interval the better.
Frequency refers both to how often the data is published as well
as the size of the data collection "buckets." The
smaller the time bucket (ie, weekly instead of monthly) the more
immediate the feedback to the process and the more likely that
corrective action can and will be taken. Smaller time buckets also
facilitate the analysis process when questions arise (ie,
"What happened, why did performance decline last
week?"). All measurements should provide the ability to
review trends, reinforcing the concept of continuous improvement.
It is less important to know exactly where we are today, than to
know that we are better today than yesterday, which was better
than the day before, which was .... Finally, the concept of
transparency is key. Transparency refers to the overall
simplicity and ease with which a measurement is understood.
Transparent systems are those that the user can "see
into" and understand the inner workings of. Systems that are
well understood are much more likely to be effectively utilized.
Once the required measurements have been
defined, the method of presentation must be developed. Given the
need for trend analysis, transparency, etc., as discussed above,
graphical presentations showing a "percent to plan"
are most often the best.
The example in Figure 2 may be viewed as a
better than average example of an effective performance
measurement.
In this example, the percentage of work orders
released on time and their shortage status is portrayed. The two
graphs are shown side by side on the same page since a seesaw
effect is possible, one measure may be optimized at the expense of
the other. Historical data is lumped into monthly buckets
represented by the solid bars, while the most recent month's data
is shown in weekly buckets represented by the cross-hatched bars.
Thus both long term trend identification as well as short term
detailed analysis is possible. The goal or objective for each
measure is clearly identified in the graph, and below the graph
the quantitative source data is displayed for analysis. Should
there be questions, the date the data was prepared and the
preparer's signature are both clearly evident. Together, the
graphs provide a clear, concise picture of where the process
stands relative to the goals that have been established.
Figure 3 provides another example of a measurement that
portrays process status clearly and effectively. There is no
question that the goal has been achieved for the month and the
process is well under control.
To be Continued
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