HR Management & Compliance

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.”


Bottom line, employees leave bosses, not companies. Join us March 1 for Leadership: How To Become an Effective, In-Demand Boss and Master Motivator. Click here for details.


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

 4.17%

 50%

February

 4

 118

 3.39%

 41%

March

 2

 121

 1.65%

 20%

1st Quarter

 11

 120

 9.21%

 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.


“I’m a good boss—but I could be better.”  Join us March 1 for Leadership: How To Become an Effective, In-Demand Boss and Master Motivator. Click here for details.


Benchmarking Resources

Nitz and Duffy offer the following suggestions for finding benchmark data to which you can compare your data:

  • Industry associations
  • Publishers such as BLR
  • Organizations such as Society for Human Resource Management (SHRM)
  • Government websites
  • Yahoo finance
  • Colleagues and competitors
  • The results of a Google search

In tomorrow’s Advisor, Nitz and Duffy’s Six Steps to Metric Success, plus how to turn your managers into leaders.

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