There are several ways to count the number of monthly bottlenecks that interrupt company productivity. One could use productivity tracking software, which can monitor and record interruptions in real-time. Another method is to conduct regular surveys or feedback sessions with employees to identify and quantify bottlenecks. Additionally, one could use data analysis techniques, such as time-series analysis or regression analysis, to identify patterns and trends in productivity data that may indicate bottlenecks.
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Next up are Pareto charts, which get their name from the Pareto principle, which states that for many outcomes, 80% of the consequences stem from 20% of the causes. This is a prioritization tool to help identify the most important next step. In the sample datasets, we have a customer feedback Pareto analysis that counts the occurrences of different reasons customers unsubscribe, and a productivity Pareto analysis that counts the number of monthly bottlenecks that interrupt company productivity.
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