AKA | Polygon Trend Comparison |
Classification | Analyzing/Trending (AT) |
A polygon overlay is a graphical representation of many data variables, encoded for quick comparisons. It is a statistical tool that shows trendlines and correlations found in historical data.
To plot data for forecasting purposes.
To allow results comparisons.
To verify status of progress.
To provide supporting data in a problem-solving effort.
→ | Select and define problem or opportunity |
→ | Identify and analyze causes or potential change |
Develop and plan possible solutions or change | |
→ | Implement and evaluate solution or change |
Measure and report solution or change results | |
Recognize and reward team efforts |
1 | Research/statistics |
Creativity/innovation | |
4 | Engineering |
3 | Project management |
Manufacturing | |
6 | Marketing/sales |
Administration/documentation | |
Servicing/support | |
5 | Customer/quality metrics |
2 | Change management |
before
Data Collection Strategy
Observation
Event log
Surveying
Frequency Distribution (FD)
after
Trend Analysis
Process Analysis
Pie Chart
Stratification
Presentation
Do not exced five data variables on one cart; it may become difficult to scale every variable if vertical scales cannot be used for more than one variable. if there is a great numerical difference that requires separate vertical scale designations (upper/lower limits), a common denominator must be used to align scales from the zero point on the overlay graph.
STEP 1 Draw the vertical axis to be 75 percent of the horizontal axis. This 3:4 ratio rule is used to ensure unbiased graph construction. See example Company Reengineering and Retraining Results.
STEP 2 Identify the number of scales and their upper and lower limits required to include all data points.
STEP 3 Encode and name different data sets.
STEP 4 Graph data, anchoring it to its specific scale.
STEP 5 Verify that all raw data have been accounted for and properly converted to corresponding frequencies and positions on the graph.
STEP 6 Ensure that the title of the graph and all designations provide accurate descriptions of the data. Use notes if necessary to guarantee clarity.
STEP 7 If desired, continue to plot data for ongoing treendline analyses.