Recently, a certain university insisted that tenured and tenure-track faculty turn in their annual required faculty activity reports in electronic format in order to save time. This particular university requires extensive documentation as proof of faculty activities and teaching skills, but set out a helpful format, theoretically supported by a template, as well as a tutorial on how to comply with the new requirement.
The result was a disaster, at least in the College of Performing and Visual Arts. The template did not work as designed, so that faculty couldn’t place the documentation in the proper places. Even the two faculty members with past programming experience couldn’t make the system work properly. The supposed tutorial didn’t match the actual system. In addition, much of the documentation required by the administration existed only in paper format, which required hours of scanning, and to top it off, the links set up by the administration arbitrarily rejected some documentation. Not any of these problems have yet been resolved, but the time spent by individual faculty members is more than double that required by submitting activity reports in hard paper copy, and more time will doubtless be required.
Yet, this is considered time-saving. To begin with, the system was poorly designed, most likely because the administration didn’t want to spend the resources to do it properly. Second, to save a few administrators time, a far larger number of faculty members were required to spend extra time on paperwork that has little to do with teaching and more to do with justifying their continuation as faculty members, despite the fact that even tenured faculty are reviewed periodically.
Over the years, I’ve seen this in organization after organization, where the upper levels come up with “time-saving” or “efficiency” requirements that are actually counterproductive, because the few minutes they “save” for executives create hours of extra work for everyone else.
This tendency is reinforced by a growing emphasis on data-analysis, but data analysis doesn’t work without data. This means that administrators create systems to quantify work, even work, such as teaching, that is inherently unquantifiable, especially in the short term. When such data-gathering doesn’t result in meaningful benchmarks, instead of realizing that some work isn’t realistically quantifiable in hard numbers, they press for more and more detailed data, which not only wastes more time, but inevitably rewards those who can best manipulate the meaningless data, rather than those who are doing the best work.
Output data for a factory producing quantifiable products or components is one thing. Output data for services is almost always counterproductive because the best it can do is show how many bodies moved where and how fast, not how well or effectively the services were provided. Quantification works, to a degree, for a fast-food restaurant, but not for education, medicine, law, and a host of other activities. Yet forms and surveys proliferate as the “business model” invades everywhere, with the result of wasted time and meaningless or misleading “data.”
And yet the pressure for analysis and quantification continues to increase yearly, with administrators and executives failing to realize that their search for data to improve productivity is in so many cases actually reducing that very productivity. Why can’t they grasp when enough is enough?