|
|
|
|
|
Factoids |
|
It is possible to predict with certainty the
number of agreements your store is capable of producing. |
|
Looking at your results in narrow terms is not only
inaccurate, but also dangerous |
|
Statistical analysis, while not sexy, is the only accurate
method of determining whether or not your system is
improving, or is even capable of improvement. |
|
Your store is producing X number of agreements because
that's the way it's designed |
In just a few minutes, using some basic
statistical analysis, you can predict the maximum number of
agreements any given location, district, region, or company is
capable of producing.
"For a store to improve, it must be out of control"
When a colleague asks, "How's your month?", most of us
respond based on last months numbers. "We gained 6 agreements",
or "We're up 70 BOR from the same month last year". Looking at
your results in those narrow terms is not only inaccurate, but
also dangerous. Having such a narrow view of your results can
give a false sense of security.
Being "up from last month, or last year" may give you a 'warm
and fuzzy feeling', but it is absolutely meaningless as a gauge
of long term business health. Though a bit geeky, the proper
response would be..."I'm out of control on the high side!"
Every system is perfectly designed to achieve the results
it achieves
If, when your agreement count drops, your first instinct is to
'have a store meeting to discuss performance'...you're not
paying attention. Your store is producing X number of agreements
because that is what the system is capable of. A robust
system will thrive even if an individuals performance
slips.
If your store has been open for more than a few years, you
have noticed some leveling off in gain. Using statistical
analysis, it is possible to, not only accurately predict
revenue, but also predict with certainty the number of
agreements your store is capable of producing.
For the purposes of this exercise, we'll use 3 years worth of
fictitious agreements Our objective will be to predict the
maximum and minimum number of agreements we can expect from this
location. You will need at least 3 years of monthly agreement
numbers to accurately predict your process capability limits.
First, lets get familiar with some basic terms.
Control Limits

Upper and
Lower control limits are calculated to let you know if your store is
'in control (stable), or out of control (trending up or down).
Variation within these control limits is normal. Being 'Out of
control' on the high side is a good thing... more
on this later.
Process Capability Limits
The upper and
lower limits that your store (system) is
capable of producing. If done correctly you can predict, with up
to 99% level of confidence, the number of agreements any
location, district, region, or company is capable of producing.
X
(Pronounced "X Bar)
X Bar is the average agreement count for three months
example: (380+412+392) / 3 =
X (these
X will represent
the individual data points
on our graph)
_
X
(pronounced "X Double Bar")
also called 'mean'
X Double Bar is the average of the averages
example: (Q1+Q2+Q3+Q4+...etc) /
(number of quarters being analyzed) = X Double Bar
R (Range)
The difference between the highest and
lowest number of agreements in a 3 month period (X)
example: In Q1, (Feb)412, minus (Jan)380 = R (in this
case R = 32)
R
(pronounced "R Bar")
R Bar is the average of all ranges (R)
A2 (Pronounced "A
Two")
Used to calculate Control Limits to a high confidence
level. It is dependant upon the sample size. When your sample
size is 3, ie: each point on the graph represents the avg of 3
months, then A2 = 1.023
Note: The bigger 'n' is, the more accurate the analysis.
d2 (Pronounced "D
Two")
Used to calculate Process Capability Limits to a high
confidence level. It is dependant upon the sample size.
The first table shows the raw agreement count by month for 3
years, the X bar, R,
R,
Upper and Lower Control Limits, and Upper and Lower Process
Capability Limits. The graph below shows a statistical
analysis of this particular 36 month period.
Calculations
The calculations are included HERE in case
you want to 'try this at home'.
|
Month |
Agreements |
Year |
Quarter |
X
(3 mth avg) |
R |
R Bar |
a2 |
d2 |
Upper
Control limit |
Lower
Control Limit |
|
Jan |
380 |
1 |
Q1 |
394.66 |
32 |
23.08 |
1.023 |
1.693 |
426.78 |
379.55 |
|
Feb |
412 |
|
Q2 |
409 |
36 |
|
|
|
|
|
|
Mar |
392 |
|
Q3 |
406.66 |
37 |
|
|
|
|
|
|
Apr |
431 |
|
Q4 |
392.33 |
8 |
|
|
|
|
|
|
May |
395 |
2 |
Q1 |
412.33 |
32 |
|
|
|
|
|
|
Jun |
401 |
|
Q2 |
408 |
48 |
|
|
|
|
|
|
Jul |
389 |
|
Q3 |
414.66 |
13 |
|
|
|
|
|
|
Aug |
405 |
|
Q4 |
415.33 |
20 |
|
|
|
|
|
|
Sep |
426 |
3 |
Q1 |
393.33 |
17 |
|
|
|
|
|
|
Oct |
395 |
|
Q2 |
391.33 |
17 |
|
|
|
|
|
|
Nov |
387 |
|
Q3 |
404.66 |
3 |
|
|
|
|
|
|
Dec |
395 |
|
Q4 |
395.66 |
14 |
|
|
|
|
|
|
Jan |
395 |
|
|
|
|
|
|
|
|
|
|
Feb |
415 |
|
|
|
|
|
|
|
|
|
|
Mar |
427 |
|
|
|
|
|
|
|
|
|
|
Apr |
435 |
|
|
|
|
|
|
|
|
|
|
May |
402 |
|
|
|
|
|
|
|
|
|
|
Jun |
387 |
|
|
|
|
|
|
|
|
|
|
Jul |
410 |
|
|
|
|
|
|
|
|
|
|
Aug |
411 |
|
|
|
|
|
|
|
|
|
|
Sep |
423 |
|
|
|
|
|
|
|
|
|
|
Oct |
425 |
|
|
|
|
|
|
|
|
|
|
Nov |
416 |
|
|
|
|
|
|
|
|
|
|
Dec |
405 |
|
|
|
|
|
|
|
|
|
|
Jan |
395 |
|
|
|
|
|
|
|
|
|
|
Feb |
401 |
|
|
|
|
|
|
|
|
|
|
Mar |
384 |
|
|
|
|
|
|
|
|
|
|
Apr |
395 |
|
|
|
|
|
|
|
|
|
|
May |
381 |
|
|
|
|
|
|
|
|
|
|
Jun |
398 |
|
|
|
|
|
|
|
|
|
|
Jul |
406 |
|
|
|
|
|
|
|
|
|
|
Aug |
405 |
|
|
|
|
|
|
|
|
|
|
Sep |
403 |
|
|
|
|
|
|
|
|
|
|
Oct |
389 |
|
|
|
|
|
|
|
|
|
|
Nov |
395 |
|
|
|
|
|
|
|
|
|
|
Dec |
403 |
|
|
|
|
|
|
|
|
|
| Upper Process Capability
Limit = 444 |
Lower Process Capability
Limit = 362 |
|
|
X bar analysis of agreement count over
36 months
Includes Control Limits and Process Capability Limits |
|
 |
|
X |
Upper Control Limit |
Lower Control Limit |
X Double Bar |
Upper Process Capability Limit |
Lower Process Capability Limit |
Rules of thumb
A system is said to be out of control if...
- Any 1 point is lying beyond
the control limits
- 3 or more consecutive points
lying on one side of
X
- 5 or more consecutive points
going in the same direction (indicates a trend)
According to our chart, we can tell
many things...
- The store is in statistical control
and will range between 379 and 426. That means that our system
is designed to produce a 16% swing in any given quarter.
(Difference between Upper Control Limit and Lower Control
Limit)
- Something statistically significant
occurred in year 2 (All 4 points are 'above the mean (X
Double Bar) What was it? Can we reproduce it?
- Most importantly, Unless the system changes,
this store will never, ever produce more than
444 agreements or less than 362 agreements (Upper process
capability limit and Lower process capability limit) because
that is what it is designed to produce.
If you ever hope to increase above 444, a true system
change must occur. System changes are not easy. They
require change on every level of operations.
Do one thing at a time, do it extremely well, then move on
to something else
If you're satisfied with never exceeding 444 agreements, and
potentially dropping to 362...then go fishing. If you want to
narrow that range or grow...
- Analyze your system
- Make one or two significant changes
- Track the results for a minimum 3 months
- Chart the results. Do you see a statistically
significant change? (3 points above the mean (X)
- Implement the next system change and chart the results,
etc, etc, etc.
Statistical analysis, while not sexy, is the only accurate
method of determining whether or not your system is improving,
or is even capable of improvement.
| Method |
Control Limits |
Process Capability Limits |
|
X |
|
|
| R |
UCL=D4R
LCL=D3R |
N/A |
|