Several hunters, roles with permission per resource, teams and clients. Two-level auditing and a help button on every screen, with isolation between organizations guaranteed at the data layer.
Either the tool is for individual use and the team shares nothing, or it is shared too widely and everyone sees everything. And when a client asks who accessed their candidates’ data, there is no answer.
Each organization operates in isolation. Inside it, roles define who sees what, per resource. And every relevant action is recorded, queryable by whoever has permission for it.
It is not just administrator and member. You build roles with the permissions that make sense for your operation, and the reach can be the resource itself, the team, or the collaborators.
A person can belong to several organizations, which is common in search firms, and the active organization holds per session. There is no union of permissions across organizations.
69 test cases guarantee that one organization never reads another’s data
Every change, security event and sensitive read is recorded
Changes, security events and reads of sensitive data are audited. Each organization’s administrator sees their own records; nobody sees another’s.
And every screen in the system has a help button with the documentation for that screen, which cuts training and dependence on whoever already knows how to use it.
"Of your shortlists based on trajectory, 71% became hires that lasted past 90 days: the pattern that looked like bias is delivering. Shortlists based on evidence converted at only 45%."
Base: 17 closed processes with a recorded outcome · N is still small, read it as a trend.In a product where several clients coexist, "we trust the developer remembered to filter" is not a guarantee. Here the guarantee lives in the architecture and in CI.
Adding up the product’s suites, there are more than 2,400 automated test cases, 1,377 of them over the pure business rules, with no database and no interface.
Rejection and shortlist reasons, distribution by dimension and the real outcome at 90 days and 12 months feeding back into the analyses.
See inside →BiasBias mirrorCompares what you prioritize with what EVO prioritizes and returns the gap in plain text, set against the real outcome.
See inside →Local agentRuns in your ChromeAn app on your machine uses the session you already signed into. No password, no cloud, with a cap that you set.
See inside →It takes a real role to see EVO work, not a canned example.
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