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Style Sheets
A performance measure’s value evolves from its ability to instigate and/or influence action. To do this, the measure must accurately reflect materially important performance parameters and present that information in a timely, readily understandable manner. It is to this later characteristic that performance metric style sheets are critically important.
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About the Author
Nathan Ives is a StrategyDriven Principal and Host of the StrategyDriven Podcast. For over twenty years, he has served as trusted advisor to executives and managers at dozens of Fortune 500 and smaller companies in the areas of management effectiveness, organizational development, and process improvement. To read Nathan’s complete biography, click here.
Data access frequently challenges metric developers. Consequently, they may resort to using the most readily available performance data; data that can be obtained through a user defined production application query and downloaded into a Microsoft Excel spreadsheet or Access database.
Organizational performance measure output informs management decisions and drives workforce behaviors. As errant data may result in misdirected effort and highly adverse outcomes, it is extremely important that performance measure output be as accurate as possible.
Organizational performance measures work together to illustrate a complex picture of performance; cascading up and down the organization and horizontally across it. Subsequently, it is important that the characteristics of performance measures within the system be well aligned to enable multi-indicator information development and data flow.
The accuracy and subsequently the trustworthiness of organizational performance measures is founded on the quality of their underlying data. While performance measures are uniquely sensitive to changes in data, even the smallest error in data accuracy undermines a metric’s credibility if not its output.
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