15. A more innovative version of Step #1
McBassi Good Company Assessment
Good
Employer
Good
Seller
Good
Steward
Business
Results
Includes all elements of
MPI, plus additional
measures of “Good
Company”
- Diagnostics
- Outcomes
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16. Step #2 - Statistical linkage analysis
Depending on specifics of data, there are three primary
statistical methods for linking people factors and business
outcomes:
1. Multivariate analysis
2. Correlations
3. Comparison of means/t-tests
Analytics is the “missing link” that enables you to identify the top
human drivers of your business results.
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18. Two major types of business intelligence
analysis
1. Creating insightful reports from your employee survey
– Conduct statistical linkage analysis based on outcomes collected in the survey
itself
• Engagement (including intent to stay, willingness to refer a friend)
• Support for customer service
• Etc.
2. Ongoing (post-survey) analysis of the drivers of business
results
– Make decisions now that will ultimately make possible statistical linkage analysis
based on “hard” outcomes (collected outside the survey), even if that’s not part
of the first round
• Turnover
• Sales
• Cost containment
• Customer satisfaction
• Etc.
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19. Step #3 - Identifying areas of opportunity
Top
Drivers
Areas of
Weakness
Top Areas of
Opportunity
This step systematically combines information about the
top drivers of business results with measures of relative weakness.
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21. Step #4 - Insightful reporting
Highly visual, easy-to-understand reports serve as a
catalyst for change
One of the most important lessons we’ve learned: less is more
when it comes to reporting and recommendations – tell
what’s important, not everything you know
• Avoid “data dumps”
• Focus on simple reporting that makes it easy for busy managers
and leaders to know what actions to take.
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