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pattern, i.e., an unexpected snow s<strong>to</strong>rm in Atlanta will reduce daily output <strong>of</strong> a<br />

precast work team. One way <strong>to</strong> differentiate special versus common cause is <strong>to</strong><br />

ask if this is a unique problem or an example <strong>of</strong> a larger class <strong>of</strong> problems and<br />

second ask, "If I replace the workers, would I still have this problem?"<br />

The following table gives an example <strong>of</strong> special versus common cause drivers <strong>of</strong><br />

delays in architect’s approvals:<br />

Special Causes Common Causes<br />

• Architect’s wife dies in car accident<br />

• Drawings delivered <strong>to</strong> wrong <strong>of</strong>fice,<br />

where they sat for days<br />

• Architect does not appreciate need<br />

for speedy approval<br />

• Architect is understaffed<br />

• Architect is unfamiliar with precast<br />

and therefore needs <strong>to</strong> find outside<br />

help prior <strong>to</strong> approval<br />

• Other parts <strong>of</strong> design that affect us<br />

are not yet complete<br />

• Approvals are used <strong>to</strong> help finalize<br />

the drawings<br />

The key <strong>to</strong> minimizing adverse outcomes from special variation is <strong>to</strong> ensure you<br />

have a process in place <strong>to</strong> get timely data that reveals special causes quickly so<br />

that you can react <strong>to</strong> them. In a hospital setting, for example, highly difficult<br />

cases are flagged early on so that a case manager can help oversee the care <strong>of</strong> a<br />

patient. The goal is <strong>to</strong> contain damage with an immediate remedy. It is<br />

important <strong>to</strong> understand what’s different this time, i.e., what’s causing the special<br />

cause outcome, as this special cause outcome could in fact become a common<br />

cause at some point. If you think it might become a common cause at some<br />

point, then you must develop a longer-term remedy.<br />

<strong>How</strong> do you deal with special causes?<br />

• Get timely data so that special causes are revealed quickly<br />

• Contain damage with an immediate remedy<br />

• Search for the cause -- what was different? Could it be a common cause at<br />

some point?<br />

• If so, develop a longer-term remedy<br />

The focus <strong>of</strong> continuous process improvement, and process redesign for that<br />

matter, is <strong>to</strong> adjust common causes <strong>of</strong> adverse outcomes. Here you look at all the<br />

data, not a single data point, and you stratify the data in<strong>to</strong> high occurrence causes<br />

and low occurrence causes and you focus initially on improving or limiting the<br />

high occurrence causes. You may ultimately treat different classes <strong>of</strong> projects<br />

differently if you see correlations between sources <strong>of</strong> problems and types <strong>of</strong><br />

projects.<br />

Pamphlet #5 Page 218

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