Stages on a canvas, with parallel groups and transitions by outcome. An external interviewer scores through a portal of their own, with no access to the rest of the system.
The process lives in someone’s head and in a spreadsheet. Nobody knows what stage each candidate is at without asking, and when the process changes midway, candidates already in it end up in limbo.
The flow is explicit and visual. Each candidate carries a snapshot of the process as it was when they entered: changing the journey does not move the ground under those already walking it.
Drag the stages, group the ones that happen in parallel, define where people go when they pass and when they do not. The system validates the graph before letting you save.
A journey can be a global template, a default for that client, or an instance for that role alone, without duplicating everything on each use.
The technical interviewer who is not in HR gets an email invitation and scores in a portal of their own, seeing only the candidate and their stage. Nothing else in the system.
Scheduling with a calendar invitation, an EVO assessment per stage alongside the human one, and the candidate’s timeline filling in as they advance.
Tell me about a product decision you changed after talking to a user. What did you believe before, and what changed your mind?
"Your assessment flags discovery without an impact metric. In the case you just described, what changed in the numbers afterwards?"
Giving access to someone outside the organization is where a mistake turns into a leak. That is why it has its own treatment in the isolation suite.
A guide per stage with a rubric of anchors, signals to look for and red flags, plus probes built from that candidate’s gaps.
See inside →TestsEVO AssessA technical test generated from the role, languages with spoken assessment at CEFR level, and behavioral, with a live defense of the work.
See inside →LearningDashboard and calibrationRejection and shortlist reasons, distribution by dimension and the real outcome at 90 days and 12 months feeding back into the analyses.
See inside →It takes a real role to see EVO work, not a canned example.
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