Almost
always, You have option whether to use discrete data or continuous data, when
measuring your process’ performance.
For instance, if your account opening
process’ Turn Around Time is 30 minutes : you can either measure it as a binomial discrete data (as a percentage of
those processed below 30 minutes vs above 30 minutes), or alternatively, you
can measure the total number of days it took to open an account (i.e. as a
continuous data).
Showing posts with label Data. Show all posts
Showing posts with label Data. Show all posts
Sunday, 11 November 2012
Saturday, 10 November 2012
Start with Data Collection Plan
To establish procedure to calculate your process
performance’s metrics, you will need a proper set of tools. I would recommend
this : start from creating a data collection plan (DCP).
A comprehensive DCP will consist of the following : Voices of Customer (this in turn, will be adopted as the key measurement, the metrics), Critical Customer Requirement, Operational Definition (of each CCR), Formula to calculate the current base line (of each CCR), the type of the data to be collected (i.e. discrete vs continuous), last but not least : how much data to be collected, from where, when, and by who.
A comprehensive DCP will consist of the following : Voices of Customer (this in turn, will be adopted as the key measurement, the metrics), Critical Customer Requirement, Operational Definition (of each CCR), Formula to calculate the current base line (of each CCR), the type of the data to be collected (i.e. discrete vs continuous), last but not least : how much data to be collected, from where, when, and by who.
Subscribe to:
Posts (Atom)