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Global benchmarks provide useful, level-setting comparisons during an initial survey. They aren't, however, as useful to your organization as internal and trend (historical) comparisons in future surveys. With more than 10 years of benchmarking experience, we serve over 1,300 global customers from across nearly every industry. Most of our customers use common survey questions, enabling us to offer global, high-performing, industry, or country benchmark suites using cross-customer data* exclusively.
Microsoft Viva People Science teams strongly urge the use of our standards: The overall global and high-performance (top 10th & top 25th percentile) benchmarks, which are more robust and aspirational than a custom (for example, an industry-specific) norm.
Note
The Viva Glint benchmark database contains benchmarks on more than 180 survey items derived from survey responses. These responses represent over 328 million data points.
Why should we use Viva Glint benchmarks?
With one of the largest customer databases in the world, Viva Glint produces robust benchmarks using a rolling 12-month database. We know our clients' data, so we can answer questions about composition of the data, like how many companies are represented or size of companies.
Benchmarks are frequently refreshed
With our vast database, we update our Global and Global High Performing benchmarks every six months. This review cycle ensures our most popular benchmarks keep up with rapid changes in the marketplace. Most other suites are updated annually. Additionally, we review item usage across our entire taxonomy twice a year to ensure benchmarking of the largest possible set of items.
Viva Glint benchmark generation ensures data validity
For industry and country benchmarks, Viva Glint takes extra steps to ensure suites have all core Engagement items, including:
- A review of number of core items used by at least 15 clients: If fewer than 15 of the 21 core items meet threshold, the suite is tagged as “Developing.” Suites tagged as "developing" are assumed to have a greater volatility of scores.
- Using a blended score for individual items slightly below the threshold: The blended score is based on relationships found within the Global benchmark and then is combined with the client data for the suite itself.