We use data models and release rules borrowed from k-anonymity techniques, batched releases and privacy pass cryptographic tokens to create super safe surveys, and everyone who participates as an invite peer gains access to the same full-fat report.
Our form supports specific benefits extension by geography, an extended equity compensation set of questions for packages where equity is significant; and performance pay questions for groups (like sales, execs) where performance pay is also a significant part of the package
Also, we make it easy to explore pay gaps (gender, ethnicity, gender identity, whatever it is) because you can run several peer groups under one poll. no person gets tagged but you do know which respondent was in which peer group - so you can keep context in view (but size needs to be at least 4) but also have a broader view by rolling up results.
Knowledge is power, and all that
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