Visier Benchmarks

Compare data about your own workforce to confidentially sourced data from Visier customers.

Visier Benchmarks allows you to compare data about your own workforce to confidentially sourced benchmark data from Visier customers. Visier Benchmarks complements government-published measures such as those from the U.S. Equal Employment Opportunity Commission and U.S. Bureau of Labor Statistics—also available directly within Visier—by adding even more relevant context and timeliness.

The benchmarks that are available to employers today are often incomplete, inaccurate, and out of date because they are based on self-reported surveys that are compiled once a year. Visier Benchmarks are more reliable than surveys that rely on subjective self-reports because workforce information is collected and standardized directly from systems of record. With Visier Benchmarks, you will have access to timely and relevant comparison data.

Visier Benchmarks will include workforce metrics that businesses care most about such as resignation and promotion rates. You will be able to compare your metric results across dimensions like performance groups, tenure ranges, manager statuses, age, diversity, and locations. You can explore an industry benchmark value calculated for your specific industry or an overall benchmark value calculated across all industries.

Benchmark versions

We offer two versions of Visier Benchmarks: Trend and Report.

• Visier Benchmarks Trend should be used for trend analysis and allows you to compare your organization's performance against an accurate measure of change in the market. These benchmarks are directly sourced by aggregating data from Visier customers. New benchmark values are generated quarterly and the historical benchmarks are updated periodically in a new time series.
• Visier Benchmarks Report are easy to use, annual benchmark values that allow you to make reliable point in time comparisons. Historical benchmark report values are never updated and new benchmarks are generated annually from the Visier Benchmarks Trends dataset. We use interpolation to fill in missing values in the data to simplify their usage. Sparsity exists in the Reports dataset because we have insufficient Trends data to create reliable interpolations.

For more information, see Visier Benchmarks Trend vs Report.

Frequently asked questions

What metrics do I use to make comparisons to the Visier Benchmarks?

The following table lists the corresponding metric you should use to compare your data to the Visier Benchmarks.

Visier Benchmark	Comparison Metric
Headcount by Age	Headcount Percent of Total
Headcount by Ethnicity	Headcount Percent of Total
Headcount by Job Function	Headcount Percent of Total
Headcount by Tenure	Headcount Percent of Total
High Performer Ratio	Headcount Ratio - High Performer
Manager Ratio	Manager Ratio
Minority Ratio	Minority Ratio in US
Promotion Rate	Promotion Rate
Resignation Rate	Resignation Rate
Women Ratio	Employee Ratio for Women
External Starts Rate	External Starts Rate
Retirement Rate	Retirement Rate
Voluntary Turnover Rate	Voluntary Turnover Rate
Involuntary Turnover Rate	Involuntary Turnover Rate
Exit Rate	Employee Exit Rate
New Hire Resignation Rate	Resignation Rate
New Hire Minority Ratio	Minority Ratio in US
New Hire Women Ratio	Employee Ratio for Women
New Hire High Performer Ratio	Headcount Ratio - High Performer

What attributes do I use to group by or filter the Visier Benchmarks?

The following list includes the set of attributes you can use to group by or filter the Visier Benchmarks:

• Age
• Company Size
• EEOC Function
• Ethnicity
• Gender
• Industry
• Manager
• Performance Group
• Tenure
• Visier Benchmark Location
• Visier Occupation (available for exit benchmarks only)

What is the location hierarchy for Visier Benchmarks?

The following diagram illustrates the location hierarchy for the Visier Benchmark data. Certain levels in the hierarchy may not apply to every location. For example, Province/State applies to the United States and Canada only.

What are the supported locations for Visier Benchmarks?

The location data for Visier Benchmarks is based on the location of the employee. Visier Benchmarks includes global results as organizations that are part of the Benchmarking program employ individuals all over the world. Additional locations may be added in the future.

You can filter the benchmark data to see results for the following locations:

Continental Regions	Continental Sub-Regions	Country	Country Region	Province/State
Northern America		United States	United States Regions	All US states and District of Columbia
		Canada	Canada Regions	British Columbia Ontario
Asia	Eastern Asia	China Japan South Korea
	South-Eastern Asia	Indonesia Malaysia Philippines Singapore Thailand
	Southern Asia	India
	Western Asia	Israel
Europe	Eastern Europe	Poland
	Northern Europe	Denmark Ireland Sweden United Kingdom
	Southern Europe	Italy Spain
	Western Europe	Austria Belgium France Germany Netherlands Switzerland
Oceania		Australia
		New Zealand

How do we classify organizations into specific industries?

Visier maps organizations to industries based on their North American Industry Classification System (NAICS) code.

The currently supported industries are:

Industry	Subindustry
Accommodation and Food Services	Accommodation
	Food and beverage services
Financial, Insurance, and Real Estate	Banking
	Insurance
	Administrative and Support Services
Healthcare	Hospitals and Ambulatory Healthcare
	Nursing and Residential Care Facilities
	Social Assistance
High Tech	Traditional Information Services
	Internet Services
	Telecommunications
	Professional, Scientific, and Technical Services
Manufacturing	Consumer Good Manufacturing
	Natural Resource Manufacturing
	Chemical Manufacturing
	Computer, Electrical Equipment, and Appliance Manufacturing
	Other Manufacturing
Other Services	Activities of membership organizations
Retail, Wholesale, Transportation, and Warehousing	Retail
	Wholesale
	Transportation and Storage

What is the difference between My Visier Benchmark and Overall Visier Benchmark?

When looking at benchmark metrics, you can select between My Visier Benchmark or Overall Visier Benchmark. The My Visier Benchmark metrics are automatically filtered by the company size and industry that your organization is classified in. Let's say we've classified your organization as an enterprise company in healthcare, when you select the Women Ratio - My Visier Benchmark metric, you'll see data that is calculated from other healthcare organizations that have 1000 or more employees. The Overall Visier Benchmark allows you to see values across all industries and company sizes.

How do I configure and use My Visier Benchmark metrics?

The My Visier Benchmark metrics are automatically filtered by the company size and industry that your organization is classified in. To set up the automatic filtering, you will have to configure the My Visier Benchmark concept in the studio experience. When configuring the My Visier Benchmark concept, select only one parent industry, not a subindustry. For example, if your organization belongs to the Nursing and Residential Care Facilities subindustry, you must map the concept to the Healthcare parent industry for the metrics to work correctly.

When using the My Visier Benchmark metrics, add a filter to see data for a specific subindustry.

What is the source of the benchmark data?

We source our data directly from our customers. Visier Benchmarks data comes from organizations of all sizes, across a span of industries and locations. This diverse dataset provides employers with more relevant comparison points than government data.

For more information about the data that is used to calculate Visier Benchmarks, see Visier Benchmarks Contributions.

How are the benchmarks calculated?

To calculate a Visier Benchmark value, we collect and aggregate the HR metric values from all customers in the benchmark program. It is important to understand that a good benchmark is an average across employees, not companies. Calculating a benchmark as an average across companies can lead to results where one company has an undue influence on the benchmark value because they have much fewer employees than the other companies included in the calculation. The Visier Benchmark is a weighted average across companies, where the employee headcount of each company is a weight factor. The benchmark value is equal to the metric value calculated from a virtual superset of employee records (the combination of employee records from multiple companies). Therefore the sample size for our benchmarks is the cumulative employee count across our customers. This approach allows for a true comparison of the employee population that is being analyzed.

The default calculation is Average, however, the benchmarks are parameterized to allow you to change the calculation type. Parameterized metrics are metrics that use dynamic values (parameters) in their formulas. When working with parameterized metrics, you can change how the metric is computed by changing the parameter value. The available measures for Visier Benchmarks include:

• 10th Percentile
• 25th Percentile
• Median
• 75th Percentile
• 90th Percentile

Percentiles indicate the values at which a percentage of data falls. Use percentiles to understand where your organization ranks in performance compared to the market at large. For example, your organization's Woman Ratio is 65%, which places you in the 90th percentile of the Visier Benchmarking program. This means that your organization's value is higher than 90% of all organizations.

For more information on how to change the parameter values for a metric, see Change How a Metric is Computed.

Are the benchmarks secure and confidential?

Yes. The confidentiality of the data that is the basis of benchmarks is of key importance. At Visier we use advanced techniques called Statistical Disclosure Control (SDC) to ensure that no confidential information is made public through Visier Benchmarks. We base our SDC methods on the robustly tested methods used by European statistics agencies. We protect Visier Benchmark data so that information about one specific company can never be extracted. This security applies to every dimension across which benchmarks can be compared. We do not publish a benchmark data point if too few companies contribute or the data is overly dominated by large companies. We also ensure that none of the benchmarks that are published could be used to recalculate these hidden values.

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