Employee Engagement & Feedback

Use AI to enhance employee feedback, engagement, and retention through actionable insights.

Business impact

• Employee Engagement — Increases by capturing real-time sentiment and addressing concerns promptly
• Employee Retention — Improves by identifying turnover risks and enabling targeted retention strategies
• Time to Fill Positions — Decreases due to better internal mobility and talent matching recommendations
• Employee Productivity — Rises as engagement and job satisfaction lead to higher work output
• Job Satisfaction — Grows by providing personalized career development and recognition opportunities

Data requirements

• Employee survey responses (Text) — Used to gather direct feedback on engagement, satisfaction, and concerns
• HRIS and talent management data (Structured) — Provides structured employee profiles, skills, and career history for analysis
• Internal communication logs (Text) — Analyzed to assess sentiment and communication effectiveness within teams
• Video and audio feedback (Video) — Used for richer engagement insights and AI-driven content summarization

AI methods and techniques

• Predictive AI — Forecasts attrition risk and engagement trends from employee data patterns
• Generative AI — Creates personalized career content and feedback summaries for employees
• Symbolic AI — Applies rule-based logic to interpret survey responses and categorize themes

AI models and model families

GPT-4o, Claude, Workday Illuminate, HiredScore AI

Industries

Real-world evidence

5 documented case studies on record.

Companies using this: Griswold, Meta, Thomson Reuters, Workday Inc, Zuora.