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But I believe that an important distinction must be made between the relative importance of measures v. judgments if you are an outsider (ie an investor) or an insider (manager.) A numbers approach to investing may make more sense than a numbers approach to managing.
This doesn't mean the corporation doesn't worry about ultimate financial results. It means that the key to the best returns is to focus on managing the things (client loyalty, innovations, employee engagement)that can be shown to improve returns. And managing these things means learning to judge, not just measure.
Yes, the financial markets want performance, but the question still being debated is what's the best way to produce that performance? I don't think that, relatively speaking, it's our lack of skill in measuring that's holding us back. It's our lack of skill in using measurements as 'signals to be investigated' rather than as 'objective facts.'
My concern rests with finding ways to develop 'judgment' tests with which the business can feel comfortable. For instance, Scoble's ideas around transparency in remuneration setting sounds great and appear to match your criteria for at least starting a judgment based system. But I can see many pitfalls. How do you for instance judge bias in opinion? How might you incorporate information that's qualitatively valuable at the same time as presenting the numbers? How would they usefully be combined? How are these information sources selected?
We're only at the cusp of having technology that can help aggregate and filter content. That alone is significantly influencing my thinking across a broad range of issues. Including this one.
In this context, I believe the technology will lead our thinking and so we need to understand the impact upon individuals and communities. As I'm sure you know, in our profession, this is at a very low level at this time. Getting more people into these discussions is an absolute pre-requisite.
That would allow for a discourse between multiple functions based on a mutual need to discover what works and what doesn't. That's a very different proposition to measuring against imposed targets (for example) that live in isolaton, detached from their context.