Explainable risk scores per employee. Every reason listed inline.
Deterministic 0.0–1.0 risk score per employee with LOW / MEDIUM / HIGH / CRITICAL buckets
Why teams pick Attrition Risk
- Deterministic 0.0–1.0 risk score per employee with LOW / MEDIUM / HIGH / CRITICAL buckets
- Every contribution to the score is listed verbatim — HR sees why an employee was flagged
- Pluggable signal SPI so a future ML model can be added without rewiring the page
100%
of risk scores are explainable — no black-box outputs
What makes PeopleVizio's Attrition Risk different.
Heuristic, not magic
Tenure bands, recent leave frequency, employment status and a few configurable signals combine into a transparent additive score. Auditable, reproducible, and trustworthy.
Reasons on every row
Every employee in the dashboard has a reasons drawer: "6+ leave requests in last 6 months", "Tenure 24–36 months (mid-career switch peak)", "Currently in notice period". HR can act on facts, not vibes.
Plugs in an ML model later
AttritionSignal SPI: drop in a new @Component and it's part of the score, with its label and weight visible alongside everything else. ML-trained signals join the same explainer.
Concrete capabilities, tied to real code.
Every claim below maps to a specific service or class in the PeopleVizio platform.
Bucket KPIs at the top of the page
Counts in LOW / MEDIUM / HIGH / CRITICAL, with the table filtered by bucket on click.
Sorted by descending risk
Highest-risk employees surface first; lowest-tenure veterans land at the bottom.
Direct link from the digest
AI HR Copilot's daily digest surfaces attrition-risk deltas so HR can dig in from a single tap.
Attrition Risk, in detail.
Modules that pair well with this one.
Ready to see it?
Ready to see Attrition Risk live?
Twenty minutes, tailored to your size and country, with a written summary afterwards.