7.2 Ordering Techniques
17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33
34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50
51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67
68 69 70 71 72 73 74 75 76 77 78 79 80 81 82 83 84
85 86 87 88 89 90 91 92 93 94 95 96 97 98 99 100 101
102 103 104 105 106 107 108 109 110 111 112 113 114 115 116 117 118
119 120 121 122 123
Ordering techniques are needed to make sense of the mound of data you have
created by brainstorming, researching processes, and reviewing ‘‘Best Practices.’’
There are many, many ordering techniques available but I have chosen only a
few (see Table 7-1). These few have either a primary and secondary purpose or
lead directly to a secondary purpose. For example, the 85:15 Rule not only
orders data but also places it into two primary categories. Cause and Effect
Diagrams not only lay out the causes and reasons for the causes but provide a
trail of sorts to the effect. Furthermore, the Cause and Effect Diagram leads
directly to Failure Mode and Effect Analysis (FMEA). (You may or may not
want to use FMEA depending on the issue with which you are dealing. It is
more appropriate to technical issues than programmatic issues.)
T a b l e 7 - 1 — O r d e r i n g T e c h n i q u e s
Ordering Technique Purpose
85:15 Rule To organize information into ‘‘process’’ or ‘‘people’’ categories.
Cause and Effect Diagrams To show the relationship of reasons to causes and causes to effects
Affinity Diagrams To organize large groups of information into meaningful categories
Relationship Diagrams To show the relationship(s) between elements