Interpreting survey scores without any context can be challenging. How do leaders know if their 70 percent score is really good or really bad? What does it mean? That’s why benchmarks are so important for understanding survey data; they are designed to provide context and meaning for interpreting your scores.
HR benchmarking data provides insight into what’s “normal” for each item or measure. Not all survey items are created equally; some topics tend to score higher than others. (Tweet this!) For example, benchmark research shows that items related to compensation tend to score low. A score of 70 percent on an item related to satisfaction with pay would be fantastic—but that same 70 percent on an item related to workplace safety would be a big red flag.
In addition, regardless of the topic, the wording used for survey items can impact how people respond. Asking whether or not an employee understands something may produce higher scores than if they are asked about the effectiveness of that same thing. Benchmarks help account for these nuances so leaders avoid overreacting or misinterpreting their own survey scores.
HR benchmarking metrics are important for identifying areas of strength and opportunity from the survey. This article will examine the different types of benchmarks, and considerations for using HR benchmarking data.
Benchmarks come in several forms, and each form provides unique value. Here are three types of benchmarks, and how and when to use them:
The Perceptyx Benchmark DatabasePerceptyx maintains a database of several hundred common survey items for external HR benchmarking. This data was gathered from Perceptyx clients over a rolling 3 year period and includes data from hundreds of organizations with millions of respondents. Domestic U.S. firms and many multinational organizations, varying in size from 50 to over 500,000 employees, are represented in the database. Benchmarks are available by industry, sector, sub-sector, job level, job function, age, gender, ethnicity, tenure, country, size of company, union status, Fortune 100/Fortune 500 status, and more. In most cases, the overall benchmark provides the external comparison necessary to understand and interpret survey results. This is our most robust benchmark; it maximizes the number of items and measures for which a benchmark will be available. As that overall database is subdivided by company size, industry, function, or other attributes, coverage becomes more limited. Overall, score differences among companies of different sizes and even industries are minimal. Among country benchmarks, there are greater differences, as local culture impacts the way people respond to survey items. When comparing scores from different countries within a global company, it may not be that employees in one country are actually less engaged than those in others; it may just be a reflection of cultural norms. Country benchmarks can provide valuable context to account for those nuances. The context in which data is collected can also impact the way individuals respond to survey items. For this reason, Perceptyx offers specific benchmarks for onboarding and exit surveys. New hires tend to respond much more positively, and the onboarding benchmark can account for that context with items that are included in other types of surveys. Employees leaving the organization are also responding to questions in a unique context, which should be accounted for as well. |
HR benchmarking data can be valuable—but only when used correctly. These four considerations should be taken into account when using benchmarks:
Context provides clarity for interpreting employee survey results. Perceptyx maintains a robust external benchmark database to provide context for your survey results. Get in touch and let us show you how your company compares to others on the most important employee engagement metrics.