CH 7 Metrics Flashcards

1
Q

What are HR metrics?

A

Measures of data that reflect some descriptive detail about given processes or outcomes.

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2
Q

What are analytics?

A

How we look to identify relationships, patterns, indicators for forward planning.

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3
Q

What are the benefits of looking at metrics and analytics?

A
reduce cost of assessment
real-time analysis
easy data sharing
focus on cost and ROI of human capital
because there is more reliance on evidence-based management.
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4
Q

What is the balanced score card?

A

recognizes the limitations of financial indicators of performance.
focuses on on indicators such as customer satisfaction, process effectiveness, and employee development.
Focuses on factors that drive performance.

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5
Q

What are the focuses of the SHRM effectiveness metrics?

A

Financial results, equations based on dollar amounts to measure different areas of HR.

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6
Q

What has caused recent higher adoption rate of HR metrics?

A

Computerization, greater access to data, better consistency in data and over time.

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7
Q

What are the barriers that HR is having with getting managers to use metrics?

A
  1. Managers don’t say what info they need
  2. Managers don’t use HR metrics that are included in existing reports
  3. They don’t acknowledge receipt of reports.
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8
Q

What is a drawback of metrics and the balanced scorecard method?

A

Still rearview or feedback viewpoints.

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9
Q

What is the main objective of HR metrics?

A

To provide managers with the information they need to make better decisions regarding the acquisition and deployment of an organization’s human capital.

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10
Q

What are the activities that use HR metrics?

A
Reporting 
Dashboards 
Infographics
Benchmarking
Data mining
Predictive analyses
Workforce modelling
Better problem solving/decision making
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11
Q

What kinds of decisions are involved in reporting?

A

What metrics?
How will the be packaged
How(via report or interactively), when(frequency), and to whom should they be reported.

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12
Q

What are dashboards?

A

Are a current snapshot of key metrics that show users real-time analysis of organizational processes and users can view several levels within the org.

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13
Q

What is data mining?

A

Efforts to identify patterns that exist within the data that may identify unrecognized causal mechanisms that can be used in decision making. Methods used incl. correlation and multiple regression.

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14
Q

What is predictive analyses?

A

attempts to develop models of organizational systems that can be used to predict future outcomes and understand the consequences of hypothetical changes.
Identify leading indicators of important org. outcomes and the relationships expected to lead to the.
Ie balanced score card.

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15
Q

What is workforce modelling?

A

Tries to understand how an organization’s human capital needs would change as a function of some expected change in the org’s environment. Incl. hr planning program.

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16
Q

What is they “why” of metrics and analytics?

A

Impact and benefit to the org.

17
Q

What kind of context to we put metrics and analytics into?

A

current vs. past trends

likely outcomes if current trend continues or changes.

18
Q

What are the reporting methods?

A

Push - send without being requested. ie. mass email

Pull- available when needed ie. internet portal

19
Q

What are the drawbacks to the push reporting method?

A

Low relevance to all
data overload
data only being skimmed or ignored

20
Q

What are the potential risks to the pull method of reporting?

A

managers don’t know what is available to them or how to use it.

21
Q

What are the things to remember about metrics and analytics?

A

don’t “do” metrics - have a reason to do them
bigger is not always better - impact over # of metrics
continue to re-evaluate and change what you measure
strive for continuous improvement
Don’t measure everything