Employee Engagement
Your best people are burning out. The exit interview is too late to find out.
AI monitors sentiment across surveys, feedback, and internal channels - detecting dissatisfaction before it becomes a resignation letter.
Continuous sentiment analysis across feedback channels identifies emotional tone shifts in real time. Managers get specific alerts and recommended actions, not quarterly survey results that arrive too late to matter.
The Scenario
Your best account manager has been slipping for three weeks. Shorter responses. Skipped the last team meeting. By the time the quarterly survey comes back, she's already interviewing somewhere else.
Pulse surveys give you lagging data. Exit interviews tell you what you should have seen months ago. Managers are overloaded and can't read every signal. The people you most need to keep are often the quietest about leaving.
Process
How It Works
Listen
Sentiment analysis across feedback, reviews, and anonymized communication channels identifies emotional tone shifts as they happen, not after the fact.
Predict
Retention models forecast attrition risk by department, manager, and role using behavioral signals - from survey sentiment to engagement patterns.
Intervene
Managers receive specific alerts with recommended actions: coaching conversations, workload adjustments, recognition. Not generic advice, targeted interventions.
Measure
Track which interventions actually improve retention and engagement. See which departments are improving and which need more support.
Capabilities
What you get
What You Get
Continuous sentiment monitoring across all channels
Attrition risk scoring by individual & department
Manager alert system with specific action recommendations
Anonymous feedback analysis (privacy-first)
Department and team benchmarking dashboards
Integration with Slack, Teams, and HRIS systems
What if you knew who was disengaging weeks before they quit?
See what your engagement data is telling you. Book a 15-minute demo.