Thursday, February 24, 2011

Metrics—Manage It Or Leave It To Chance

If you can't define it, you can't measure it. If you can't measure it, you can't manage it. If you can't manage it, you leave it to chance, say Noelle Nitz and Linda Duffy. Unfortunately, there's a language barrier when HR people try to talk metrics to management.
 
Nitz, President of the Institute for Financial Mastery, and Duffy, President of Leadership Habitude, made their remarks at BLR's recent National Employment Law Update in Las Vegas. Here's how they see the situation:
 

HR Says

Management Says

Intangible

Tangible

Higher morale

Turnover rate

Team building

Employee development

Happier employees

Employee acquisition cost

Better benefits

Cost to replace

Profit per employee

Here's Nitz and Duffy's chart of HR metrics:

Acquiring

Maintaining

Developing

Retaining

Money

Cost per hire

Cost per paycheck; cost per EAP case; benefit $ per employee

Cost per trainee

Cost of turnover

Time

Time to fill

Time to respond; time to fulfill request

Training hours Turnover by length of service

Quantity

# interviewed; # hired; % filled by promotion from within

# claims processed; # claims filed

# trained

Voluntary rate turnover; % employees with compa ratio > 1

Quality

New hire rating; retention rate at 180 days; performance rating at 90/180 days

Process error rate

Skills attained; pre/post testing

Readiness level; performance review rating

Reaction

Hiring manager satisfaction; candidate satisfaction

Employee satisfaction

Trainee responses

Turnover reasons; exit interview feedback

HR Making a Financial Difference

Nitz and Duffy give an example of an HR intervention that shows a financial differential. The situation: A company recruited nationally for a position that required final candidates to be flown to Southern California for interviews. Recruiting was expensive. The hiring managers were doing everything. There was a low percentage of offers made to candidates and critical revenue producing positions were left unfilled.

After HR took over it was a different story. The statistics:

  • 416 resumes received; 279 resumes rejected
  • 138 second emails sent; 87 no candidate response
  • 45 scheduled for phone screen; 20 rejected or no show
  • 25 forwarded to hiring manager for phone screen; 10 rejected or no show
  • 15 sent script reading assignment; 10 rejected or no tape sent
  • 5 flown in for interview; 3 rejected
  • 2 offered job and accepted

HR was able to document an average annual savings of $144,000, plus:

  • Time savings
  • Improved manager satisfaction
  • Increased revenue
  • Increased profit

Bottom Line for Metrics

For basic guidance in presenting metrics to management, Nitz and Duffy quote Dr. John Sullivan's HR Metrics the World Class Way: "For metrics to be effective in altering behavior, they need to be both visible and immediately relevant to the audience that needs influencing, not the party producing them."

Metrics Killers

First of all, say Nitz and Duffy, the top reasons CFOs and CEOs say no are:

  • No profits attached.
  • Not tied to business goals/strategy.
  • We don't have the $$$.
  • Emotions.

Additional problems in getting heard are:

  • No communication
  • Miscommunication
  • Speaking different languages
  • Limiting the conversation to cost
  • Measuring nothing
  • Measuring too much or not tracking anything
  • Lack of benchmarks

Turnover

Turnover is one of the standard HR metrics. First, think through what dimensions you will measure:

  • By company overall
  • Company vs. industry
  • By region
  • By store
  • By manager/supervisor
  • By shift
  • By position
  • Voluntary vs. involuntary

Turnover Calculations

Nitz and Duffy offer an example of a turnover calculation that you do for each district in your company:

(Turnover rate = # of separations/avg. # of employees X 100)

# EEs Sep During Month

Avg # EEs During Month

Monthly Turnover Rate

Annualized

January

5

120

17%

50%

February

4

118

39%

41%

March

2

121

65%

20%

1st Quarter

11

120

21%

37%

Say that, having done the analysis, you discover that one district has much higher turnover than other regions. Exit interviews confirm that there is a problem with the district manager.

It's time for a determination of whether it would be better to keep and develop the district manager, or replace him or her. Either way, your metrics helped identify a problem that was hurting productivity and reducing profit.

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