How to report performance measures with analyses is an important consideration for organizations. Described is a generic approach on the use of a predictive performance reporting methodology with easy to conduct analyses. From this study, one can gain insight to what could be done to improve a measurement’s response.
The published article titled “Monitor and Manage: Diabetes measurement tracking at the 30,000-foot-level” by Forrest Breyfogle illustrates how to report performance measures with analyses using an Integrated Enterprise Excellence (IEE) approach that incorporates 30,000-foot-level predictive performance measures. A PDF copy of this article is available below.
In this article, actual diabetes blood-test data will be used to illustrate the enhanced measurement-reporting techniques of IEE. In this illustration, both physician infrequent evaluation and individual day-to-day assessments will be used to describe the concepts. This article also shows how this generic approach can be used elsewhere for performance tracking and understanding improvement opportunities.
For diabetics, it is important to manage sugar levels. Blood sugar level tests are taken by individuals and physicians to manage and understand personal glucose levels, with an objective to do something so that future medical problems are avoided.
The PDF document below elaborates on how 30,000-foot-level reporting techniques can improve the tracking and improvement of diabetes metrics. The methodologies also apply to business key performance indicators (KPIs) as well; e.g., in an operational excellence business management system.
How to Report Performance Measures with Analyses: Diabetes metrics tracking and analyses illustration
As described in the article, with 30,000-foot-level reporting one first determines if a process is stable. If a continuous process output is stable, then the data from the recent region of stability is considered a sample of the future. For continuous data a probability plot is a means to make this prediction. If no specification exists, a median and 80% frequency of occurrence value is determine. This value is then reported at the bottom of the chart in easy to understand language.
Since 4 samples of glucose levels reported per day, an ANOM analysis of this data indicated his sugar levels were statistically highest before bed. To get a lower sugar level, the person should consider eating less or different foods between dinner and bed time.
General information about 30,000-foot-level reporting:
- Article: Positive Metric Performance Poor Business Performance: How Does this Happen?
- Video: 30,000-foot-level Performance Reporting Introduction (5 Minutes)
- Peer-reviewed article: 30,000-foot-level Metric Reporting
- Textbook for Lean Six Sigma training (chapters 12 and 13): DMAIC (Define-Measure-Analyze Improve (DMAIC) road map with over 100 examples and exercises, which integrates Lean and Six Sigma tools
An Enhanced Organizational Excellence Methodology
An Integrated Enterprise Excellence (IEE) system addresses the need described in a Wikipedia definition for Operational Excellence. IEE integrates predictive scorecards (i.e., 30,000-foot-level metrics) with the processes that created them, from which improvement efforts can be undertaken so that the big-picture benefits. A description of the benefits of IEE 2.0 is described in a one-minute video.
For more information on how to report performance measures with analyses, download the published ASQ Quality Progress January 2017 article titled “Monitor and Manage: Diabetes measurement tracking at the 30,000-foot-level.” The described techniques apply also to other performance output metrics.Download