Riskiy
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Problems We Aim To Solve

Knowing who was hired is not knowing who stayed.

Most teams can tell you who they hired, but not whether that person lasted 14, 30, or 90 days — so they can never learn what predicts retention.

Retention work is impossible without labeled outcomes. If you cannot say whether a hire stayed 30 or 90 days, every hiring signal is a guess and no pattern can be validated.

Why it matters

Why it mattersWithout outcomes, scoring is just assumptions dressed up as data.

What better looks likeYou cannot improve what you never measure; retention stays anecdotal.

What better looks like

Why it mattersOutcomes recorded per application — hires, no-shows, quit and termination dates, tenure, and milestones.

What better looks likeRiskiy captures post-decision facts and 14/30/90-day retention milestones for each application.

How Riskiy helps

Why it mattersImproving here means connecting applicant features to what actually happened.

What better looks likeLabeled, tenant-private outcomes feed source, commute, tenure, and pipeline analytics — and later, pipeline-specific evidence rules.

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