On The Lean Edge Blog, last week was a discussion on Lean metrics. The question
was, “Is there a Lean way to measure productivity?” I thought I would add my thought to the
conversation.
It
is not enough to simply create a numeric measure. The measure should accurately
reflect the process. We use metrics to base decisions on and to focus our actions.
It is not only important to measure the right indicators, it is important to
measure them well.
Metrics
generally fall into two categories:
Performance
Metrics are high-level measures what you are doing; that is, they assess your
overall performance in the areas you are measuring. They are external in nature
and are most closely tied to outputs, customer requirements, and business needs
for the process.
Diagnostic
Metrics are measures that ascertain why a process is not performing up to
expectations. They tend to be internally focused and are usually associated
with internal process steps and inputs received from suppliers.
A
common mistake is to start first with your diagnostic measures - measuring
yourself internally, rather than beginning with an external focus, namely your
customer.
Metrics
drive behavior, and the wrong metrics drive the wrong behavior. Direct labor
productivity is not a good metric. It doesn't matter whether each worker is
producing as much as possible. What matters is whether the plant is producing
the amount of product the customer wants. And that is not the same thing. Don't
talk about direct labor productivity.
Too
many metrics create chaos and unnecessary work. Too few metrics will not
provide enough measurement to ensure you’re your strategies are supported. Your
metrics should provide insights into the progress your agency is making.
One
of the biggest metrics mistakes is random selection. The best metrics start
with the big picture. Identify the overall objective of your company or
initiative. State it quantitatively. It should answer the question: "We'll
know this is successful when we see _____ happen."
Metrics
at the lowest layer of an initiative or organization have the highest
actionability. A focus on the most actionable metrics is essential for 'moving
the needle' of big picture metrics. When you identify a problem
or opportunity that needs to be addressed, this is the symptom that you will
explore for root cause analysis. Start with the observable problem or
opportunity, not with possible solutions.
Organizations
should figure out the story the metrics are supposed to tell and then stick
with that outline. The metrics should describe the extent to which your
organization is performing its mission. Metrics should explain your intentions
and objectives.
Without
good performance measurements, it is easy for companies to fall into a very
common trap: Employees keep busy with all kinds of activities but achieve few
of the desired results. Effective performance measurement is the compass that
guides management toward meaningful results at the process level, results that
will tie directly with the company's goals
Although
there may never be a single perfect measure, it is certainly possible to create
a measure or even multiple measures which reflect the performance of your
system. If the metrics are chosen carefully, then, in the process of achieving
their metrics, managers and employees will make the right decisions and take
the right actions that enable the organization to maximize its performance.
No comments:
Post a Comment