Attritioncue
Managed workforce analytics for mid-market HR teams that combines approved people data, cohort-level risk monitoring, and human-reviewed retention or redeployment actions without ranking employees for employment decisions.
A mid-market HR team can see turnover after it happens but rarely has the analytics staff to maintain a model, reconcile changing people data, and turn signals into respectful action. Attritioncue packages that operating loop. It monitors approved cohort trends, explains data quality and model limits, and gives HR business partners a small review queue for role, workload, mobility, manager, or retention follow-up. It does not tell a manager whom to fire, label an employee likely to leave as fact, or expose individual predictions through chat.
The HR business partner, people analytics lead, or head of talent at a 100–1,000-person employer without an enterprise people-analytics team.
The source implementation was created in April 2026, providing a current catalyst.
Data normalization, monitoring, explanations, and review workflows scale through software.
One cross-reference and one inbound connection offer limited corroboration.
A fresh open implementation, an identifiable underserved buyer, and software-first managed delivery make the wedge timely and buildable.
The source model's portability, connector access, label quality, intervention lift, and incumbent disadvantage are not established; employment use creates material fairness and privacy risk.
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