Here are twenty examples of objectives standards that the credit
manager can use to evaluate the performance of the members of the
credit department staff. Normally, performance reviews include evaluations
of both objective and subjective data, but since these standards
are easy to calculate determining which of your subordinates is doing
a better job is easier the more objective standards you use to measure
and compare their performance.
1. The number of active accounts handled by each collector.
2. The total dollar amount past due by collector.
3. The percent change in the past due amount from one month to the
next [ Example from 13% past due and 87% current – to – 15%
past due and 85% current ] .
4. The number of collection or deduction related calls made and
received each day.
5. The number of valid complaints received from customers about
each collector per month.
6. The number of valid complaints from salespeople about each collector
per month.
7. The DSO calculated for each collector's assigned customer base.
8. The DDSO [Days Delinquent Sales Outstanding] per collector per
month.
9. The average number of days from delinquency to the first collection
calls being made.
10. The average number of days from first to the second collection
call.
11. Bad debt losses as a percent of sales in the collector's account
portfolio.
12. The total number of outstanding customer deductions in the collector's
account base.
13. The number of deductions closed each month.
14. The average number of days from the date a deduction is taken
by a customer to the date the deduction is resolved by either [a]
arranging for a credit to be issued, or [b] by contacting the customer
to arrange for deductions taken in error to be repaid, or [c] arranging
for a miscellaneous or a bad debt write off.
15. The average number of days from receipt of a credit application
to communication of the credit decision.
16. The average number of minutes an order in the credit approval
queue remains on hold before it is reviewed and released – or
reviewed and held.
17. The average number of days required to clear or close a customer
deduction.
18. The number of applications processed per month per new accounts
clerk.
19. The number of financial statements analyzed per month per analyst.
20. The number of errors made in customer financial statement analysis
as a percent of the total number of statements analyzed.