Qualtrics

Lifecycle AI — Demographic Attrition Targeting & Auto-Triggered Workflows

Qualtrics Employee Lifecycle Management uses statistical AI to identify which demographic groups have the poorest experience and correlates manager behaviours with attrition. The system auto-triggers intervention workflows when individual onboarding or engagement scores fall below configurable thresholds. A published FAQ explicitly states the system surfaces demographic drivers of attrition, including higher attrition in specific generations or employee levels.

Continuous Employee Listening — AI Sentiment & Emotion Analysis

Qualtrics Continuous Employee Listening uses AI to analyse unstructured employee data from chats, review sites, and social media in addition to surveys, detecting sentiment, emotions, and topics at individual and aggregate levels. When combined with HRIS data this constitutes AI-based behavioural and emotional profiling of employees across passive digital channels.

Employee Flight Risk Scoring — Individual Attrition Prediction

Qualtrics Employee Retention Analytics uses predictive AI models to continuously score individual employees on flight risk weeks in advance of resignation. The system ingests engagement survey data, lifecycle signals, performance patterns, and HR data to generate per-employee risk scores, then surfaces those scores to managers as prioritised intervention targets with AI-generated guidance on which specific team members need retention action.