
A performance review.
Performance management systems generally have a bad reputation. Sadly, it's a reputation well deserved. Although performance appraisal is often painful for both appraisers and the people whose performance is appraised, that isn't at the heart of the problems with performance management systems. Performance management systems are so poorly suited to their stated objectives that we really must call them performance mismanagement systems.
Their flaws are many. In the next installment of this exploration, I examine some unintended consequences of these systems. In this Part I, I examine four of the foundational assumptions that seem most at odds with the goal of helping organizations and their people reach their potential.
- The fallacy of composition
- A logical argument is based on a fallacy known as the fallacy of composition when it assumes that if a statement is true about a part of the whole, then the statement is true about the whole. For example, we commit the fallacy of composition when we conclude that a bicycle is made of rubber because one of the tires is made of rubber.
- A fundamental premise of many performance management systems is the idea that when we elevate the performance of every individual in the organization, then we have done much to elevate the performance of the entire organization. Because maximum performance does require resources, and because resources are finite, maximizing the personal performance of each person in the enterprise doesn't necessarily maximize enterprise performance. One can easily imagine situations in which optimum enterprise performance requires that some activities be curtailed so that we can undertake others with greater energy.
- The reification error
- We commit a reification error when we treat an abstract concept as if it were a real thing. For example, performance is not a thing. A person's performance cannot be measured in any way analogous to measuring a person's weight or height. Thus, assigning a grade to someone's performance is inherently subjective; making it seem objective doesn't make performance a real thing.
- The data generated by performance management systems is not a set of performance measurements. Rather, it is a set of performance appraisals. When we accept as a goal of a performance management system elevating performance appraisal of every employee, we might be inviting those performers to take steps that actually degrade organizational performance. To avoid educating the more devious amongst us, I leave to the reader's imagination — or recollection — the question of how some people might elevate their appraisals, as opposed to elevating their performance.
- The myth of identifiable contributions
- The myth of The myth of identifiable contributions is
the belief that we can accurately assess
someone's performance on the basis of
contributions because any and all
contributions an employee
makes are identifiableidentifiable contributions is the belief that we can accurately assess someone's performance on the basis of contributions because any and all contributions an employee makes are identifiable. That is, we assume that when we ask people to generate lists of their contributions to the organizational mission, they can do so in relatively short order. Or we can ask them to keep personal journals listing their contributions. And when the supervisor then scans these lists, the supervisor recalls and can confirm that the entries in the lists are complete and accurate. - While people can certainly generate such lists, well-known cognitive biases limit their value. As I recently discussed, the Availability Heuristic provides one limit. But another limit is even more important — our inability to predict the future. The value of some contributions might not become clear until far into the future, when developments not yet conceived finally become available. And inversely, what seems now to be a positive contribution might be proven at some time in the future to be misdirection or waste or worse. And some contributions are never recognized as contributions. For example, we rarely regard as a "contribution" the sometimes-courageous act of asking a question that reveals an inherent flaw in a concept and which then leads to cancellation of a product development effort that would have ultimately failed. Asking such questions can prevent the waste of significant resources, and help the organization avoid serious embarrassment or even bankruptcy.
- The myth of omniscient supervision
- It is commonly assumed that supervisors are fully aware of the activities of the people they supervise, that they are qualified to assess the value of those contributions, and that they could actually perform the work of those people. Essentially, it is assumed that relative to the work of the people supervised, supervisors are omniscient.
- In the modern workplace, especially the knowledge-oriented workplace, these assumptions are usually invalid. Consequently, many supervisors are unable to objectively appraise the quality of the work of everyone they supervise. To perform these appraisals, they rely on claims and assertions of the supervisee, and on extrinsic indicators such as comments from the leaders of teams to which the supervisee has been detailed, the opinions of the peers of the supervisee, the timeliness of delivery of work products, and the social standing of the supervisee. This approach renders the supervisor's appraisal vulnerable to tactics some employees use to project an image of capability and productivity that is at odds with the reality. The appraisal is also vulnerable to malicious tactics employed by third parties, including rivals, who provide comments about the supervisee's activities.
In Part II of this exploration we'll examine the effects of quota systems for assessing employee performance. Next in this series Top
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Related articles
More articles on Critical Thinking at Work:
The Fundamental Attribution Error
- When we try to understand the behavior of others, we often make a particularly human mistake. We tend
to attribute too much to character and disposition and too little to situation and context. When we
seek a better balance, we can adopt a more accepting view of events around us.
Begging the Question
- Begging the question is a common, usually undetected, rhetorical fallacy. It leads to unsupported conclusions
and painful places we just can't live with. What can we do when it happens?
Interviewing the Willing: Tactics
- When we need information from each other, even when the source is willing, we sometimes fail to expose
critical facts. Here are some tactics for eliciting information from the willing.
Making Meaning
- When we see or hear the goings-on around us, we interpret them to make meaning and significance. Some
interpretations are thoughtful, but most are almost instantaneous. Since the instantaneous ones are
sometimes goofy or dangerous, here's a look at how we make interpretations.
Motivated Reasoning
- When we prefer a certain outcome of a decision process, we risk falling into a pattern of motivated
reasoning. That can cause us to gather data and construct arguments that erroneously lead to the
outcome we prefer, often outside our awareness. And it can happen even when the outcome we prefer is
known to threaten our safety and security.
See also Critical Thinking at Work and Personal, Team, and Organizational Effectiveness for more related articles.
Forthcoming issues of Point Lookout
Coming March 29: Time Slot Recycling: The Risks
- When we can't begin a meeting because some people haven't arrived, we sometimes cancel the meeting and hold a different one, with the people who are in attendance. It might seem like a good way to avoid wasting time, but there are risks. Available here and by RSS on March 29.
And on April 5: The Fallacy of Division
- Errors of reasoning are pervasive in everyday thought in most organizations. One of the more common errors is called the Fallacy of Division, in which we assume that attributes of a class apply to all members of that class. It leads to ridiculous results. Available here and by RSS on April 5.
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