Blog posts on goals

Posts selected fromManagement Blog - Engineering Blog - Investing Blog and other blogs

• Be Careful What You Measure

  Behavior can be changed by what is measured. The problem with arbitrary numerical targets (to take one measurement related example) is not that attempts to achieve those targets won’t have an affect. They very well may have an affect. However they may not lead to the desired result. When focused on improving a number (which can happen when focused on measures – especially as the focus on those measures is tied to bonuses, favorable treatment…) the focus is not necessarily on on improving the system. Often distorting the system is the result.

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• Applying W. Edwards Deming’s Ideas in Software Development

  In her presentation at the Deming Research conference, Poorani Jeyaseker explains how the management system drives behavior that is not useful to the organization. The business team asks for estimates for software development. Those estimates are treated as promises. The management system creates a punishment mechanism for missing estimates by over 10%. Of course this creates fear and pressure to make sure work can be completed within the 110% * estimate. So logically the estimates are padded (both to account for the natural variation in how close estimates are to final results and for the existing culture that means changes will be made to requirements without the estimate being adjusted)...

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• The Problem with Targets

  ... Brian Joiner provides another reason why targets are harmful: there are “3 ways to improve the figures: distort the data, distort the system and improve the system. Improving the system is the most difficult.” And so most often targets results in distortion of the data (faulty data) or distortion of the system (meet target by shifting resources and effort from other parts of the system). Both of those actions are harmful to the system.

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• Losses Covered Up to Protect Bonuses

  Does it surprise you to learn traders would cover up losses to protect bonuses? It shouldn’t, it happens over and over. Would it surprise you that almost any bonus (or quota) scheme increases the odds that the data will be doctored to meet the goals? It shouldn’t. Intelligent measures to make such doctoring difficult can help reduce the practice. But it is a likely risk of any such goal.

  As we have quoted Brian Joiner as saying: there are: “3 ways to improve the figures: distort the data, distort the system and improve the system. Improving the system is the most difficult.” So it is no shock that distorting the data is often the tactic people use (especially when the rewards are great or the punishment for missing is severe).

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• The damage caused by "Management" by targets is much larger in dysfunctional organizations

  The damage caused by "Management" by targets is much larger in dysfunctional organizations - they are also more likely to be given more importance by dysfunctional organizations, that is a bad combination. In a great organization with an strong understanding of systems, respect for people, no pay based on "performance," an understanding of data and variation... then damage managing by targets does is much smaller.

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• Managing with Control Charts

  ...if managers mistakenly tamper with a stable process, believing an occurrence is exceptional, they introduce an external cause, which destabilises it. Targets do the same thing.

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• Innovation at Toyota

  While targets and goals can distract from improvement some guidance is useful. If the desire to is have incremental improvement one strategy may be reasonable but if the desire is to aim for huge improvement another strategy is likely required...

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