(The following posting is taken from an email response to a set of questions, shown below as the first “comment.”)Yes, the upper right quadrant "How well did we do it" category can contain measures about customers. Consider the measures % of classes delivered on time and % of customers who say classes were delivered on time. They are almost identical measures. Customer data can often tell us how well services were delivered (How well did we do it?). The fundamental question to ask when thinking about whether a customer measure is upper or lower right quadrant is this: Could we do well on this measure and customers might still not be better off? For example, the % of customers who think the class is delivered on time is 95%. But the class itself is terrible and no one learns anything.
This same principle is illustrated by how we categorize the completion rate for a service or training course. The mere completion of a service or training course usually tells us little or nothing about whether people got anything positive out of it. So % of clients completing service or training is usually an upper right quadrant measure. But there are exceptions to this rule. If the training has an established reputation for giving its students new skills, then completion can be a lower right quadrant measure. Life saving courses, where earning a certificate really means something, is a good example.
This principle can be carried further to the general question of how to classify different measures of customer satisfaction. Customer satisfaction measures fall into two broad categories: Did we treat you well? and Did we help you with your problems? Customers can say they were treated well, that they liked the counselor, thought the building was comfortable, accessible etc. but still not be helped with their problems. So "Did we treat you well" is an upper right measure and "Did we help you with your problems" is lower right.
The deepest underlying principle here is that measures are classified not on the basis of some intrinsic characteristic of the measure, but rather on the basis of what question the measure helps to answer. If measures help answer How well did we do it? they go in the upper right quadrant. If measures help answer Is anyone better off? they in the lower right. If they could conceivably answer both questions, then pick the stronger answer, or as a last resort put it in both places. This same principle applies to the difference between population indicators and performance measures. Sometimes a given measure can play both roles, so that sometimes it serves as a performance measure, and sometimes as an indicator.
I would encourage you to read Chapter 4 (especially pages 65 to 79 and 99) of "Trying Hard Is Not Good Enough" where these matters are discussed. There can sometimes be legitimate differences of opinion about how to categorize a measure. When this happens, just put is somewhere and move on. Because all the measures in both upper right and lower right quadrants will be considered in Step 4 of the 5 step process for identifying the most important performance measures (See Appendix G).
Finally, the reference to "circumstance" is specifically about the client or customer's circumstance. Are they in stable housing?. Do they have a living wage job? It is not about a more general definition of circumstances. For this reason it always goes in the lower right quadrant?
Mark