Productivity metrics are ways to measure how much is produced for an input such as an hour of work. They are commonly used to manage and improve performance. The following are common examples of productivity metrics.The amount of source code produced per software developer per day. This measure isn't particularly accurate as much code is autogenerated or cut and pasted.
Function Points Per WeekMeasuring the productivity of a development team by how many function points they implement in a month or week.Development productivity can also be measured by story points per week.
Units Per HourThe number of units completed in an hour by a production line.
Average Handle TimeThe average time to handle a customer service request such as a refund. Used alone this can be a dangerous metric that encourages poor service. Typically, this is a secondary measurement after quality metrics such as customer satisfaction.
Revenue Per EmployeeA broad metric to measure the productivity of an organization. Calculated by dividing revenue by total employees.
Revenue Per SalespersonA common sales productivity metric is simply to look at how much revenue was generated per salesperson.
Labor ProductivityProductivity can be measured for a nation, region or industry by calculating GDP or revenue per hour worked. Generally speaking, productivity increases over time due to technological and process improvements.
This is the complete list of articles we have written about productivity.
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The basics of productivity.
An overview of flow.
The difference between efficiency and productivity.
A definition of knowledge work with examples.
An overview of bottleneck with examples.
How to calculate productivity with 3 examples.
The definition of productivity improvement with examples.
The formula for productivity rate with calculation examples.
The definition of toil with examples.
The definition of work ethic with examples.
An reasonably comprehensive list of metrics.
A list of common ways to measure marketing results.
A list of commonly used IT metrics.
How to measure innovation including early stage, late stage and overall program metrics.
The difference between a metric and a measurement.
A definition of best in class with examples.
The common types of data-driven business.
A definition of cycle time with examples.
How to calculate labor productivity with examples.
A definition of cost effectiveness with example calculations.
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