Statistics and biased quotas
Hello!
I'm graded at my job by how much I sell in seven categories. We lose points when we miss quota, and gain points when we beat quota, weekly. My scores fluctuate wildly, because I'm part-time and only make 20 sales a week, where full-timers make 200 or so sales per week.
So, my bosses contend that over the course of a few months, my weekly averages should represent my ability when averaged together. I contend that, as it is near impossible to hit all seven graded categories in 20 transactions, the points I automatically lose will artificially lower my score, especially in "rare sales" categories with a quota under 10%, if not on "common sales" with quotas around 60%.
For example, if I had only one sale per week, I would fit no more than three categories at best, which would be a great sale. But, having a zero in any category causes you to lose points, and although I had one great sale, I would be in the negatives every week. Thus, even if you took 200 weeks of one sale, my average would be artificially low.
Who's right, and why? And what formula could be used to re-balance the equation?
Thanks!
Booth
What if you were measured over a ten week period?
The full-timers sell 200 widgets a week. You sell 20 widgets a week. If the full-timers are measured weekly, and you are measured over a ten week period (10=200/20), wouldn't this be fair to both of you?