Is there a way to balance statistical measurements across differing total measurements?
$begingroup$
Whew! Sorry for the terrible wording. My situation is this: I work in retail. A cornerstone of our performance resides in metrics that detail the amount of name and email information capture. Essentially:
email capture = amount of people who submitted email / total sales of the day
name capture = amount of people who submitted name and address / total sales of the day
It's simple enough on its own, but my problem is that I'm working with three stores, yet everyone has a common goal... Let's say, for example, everyone would need to have at the end of the day, 65 percent name and 80 percent email. These metrics, when compared with neighboring stores, I don't think are very fair. For instance, one store could've met the goals with only 100 sales; While another store's metrics are really low because they've had... let's say, 400 sales and a ton of people just want to get in and get out.
SO! My question is this: Given the variables EC, NC, and TS for each store, is it possible to derive an equation that "balances" everyone's performance metrics for a fair and equal comparison? If so, how can I do this?
Thanks for the help!
statistics functions
asked Dec 8 '18 at 0:52
OrangeCalx01OrangeCalx01
1012
$endgroup$
add a comment |
$begingroup$
Whew! Sorry for the terrible wording. My situation is this: I work in retail. A cornerstone of our performance resides in metrics that detail the amount of name and email information capture. Essentially:
email capture = amount of people who submitted email / total sales of the day
name capture = amount of people who submitted name and address / total sales of the day
It's simple enough on its own, but my problem is that I'm working with three stores, yet everyone has a common goal... Let's say, for example, everyone would need to have at the end of the day, 65 percent name and 80 percent email. These metrics, when compared with neighboring stores, I don't think are very fair. For instance, one store could've met the goals with only 100 sales; While another store's metrics are really low because they've had... let's say, 400 sales and a ton of people just want to get in and get out.
SO! My question is this: Given the variables EC, NC, and TS for each store, is it possible to derive an equation that "balances" everyone's performance metrics for a fair and equal comparison? If so, how can I do this?
Thanks for the help!
statistics functions
asked Dec 8 '18 at 0:52
OrangeCalx01OrangeCalx01
1012
$endgroup$
add a comment |
$begingroup$
Whew! Sorry for the terrible wording. My situation is this: I work in retail. A cornerstone of our performance resides in metrics that detail the amount of name and email information capture. Essentially:
email capture = amount of people who submitted email / total sales of the day
name capture = amount of people who submitted name and address / total sales of the day
It's simple enough on its own, but my problem is that I'm working with three stores, yet everyone has a common goal... Let's say, for example, everyone would need to have at the end of the day, 65 percent name and 80 percent email. These metrics, when compared with neighboring stores, I don't think are very fair. For instance, one store could've met the goals with only 100 sales; While another store's metrics are really low because they've had... let's say, 400 sales and a ton of people just want to get in and get out.
SO! My question is this: Given the variables EC, NC, and TS for each store, is it possible to derive an equation that "balances" everyone's performance metrics for a fair and equal comparison? If so, how can I do this?
Thanks for the help!
statistics functions
asked Dec 8 '18 at 0:52
OrangeCalx01OrangeCalx01
1012
$endgroup$
Whew! Sorry for the terrible wording. My situation is this: I work in retail. A cornerstone of our performance resides in metrics that detail the amount of name and email information capture. Essentially:
email capture = amount of people who submitted email / total sales of the day
name capture = amount of people who submitted name and address / total sales of the day
It's simple enough on its own, but my problem is that I'm working with three stores, yet everyone has a common goal... Let's say, for example, everyone would need to have at the end of the day, 65 percent name and 80 percent email. These metrics, when compared with neighboring stores, I don't think are very fair. For instance, one store could've met the goals with only 100 sales; While another store's metrics are really low because they've had... let's say, 400 sales and a ton of people just want to get in and get out.
SO! My question is this: Given the variables EC, NC, and TS for each store, is it possible to derive an equation that "balances" everyone's performance metrics for a fair and equal comparison? If so, how can I do this?
Thanks for the help!
statistics functions
statistics functions
asked Dec 8 '18 at 0:52
OrangeCalx01OrangeCalx01
1012
asked Dec 8 '18 at 0:52
OrangeCalx01OrangeCalx01
1012
asked Dec 8 '18 at 0:52
OrangeCalx01OrangeCalx01
1012
asked Dec 8 '18 at 0:52
OrangeCalx01OrangeCalx01
1012
asked Dec 8 '18 at 0:52
OrangeCalx01OrangeCalx01
1012
1012
add a comment |
add a comment |
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