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Measure Indicators of Burnout From Text Data
Most organizations only conduct sentiment analysis on text data from open-ended pulse survey responses. But basic sentiment analysis cannot detect important signals of workforce wellness like burnout and fatigue.
Receptiviti's psychological approach to analyzing language in open-ended responses, provides employers with a wealth of critical information about workforce well-being, including indicators of stress, fatigue and predictors of burnout.
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Assess leadership team dynamics and effectiveness
Analyze communications data to measure the alignment and cohesiveness of leadership teams, diversity, compatibility, and collaboration effectiveness.
Differences in background, personality, experience, and perspective within a team contributes to diversity of thought, which in turn fosters innovation. Receptiviti provides insight into group thought diversity by highlighting the variety of mindsets and work styles present in a team.
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Understand risk culture and predictors of risk
Communication data provides a longitudinal, bias-free approach for understanding changes to workforce well-being, including cognitive effectiveness, social and emotional health, engagement and productivity.
Receptiviti customers analyze historical communication data for diagnostic purposes, and create real-time culture and risk dashboards by integrating with messaging and communication data sources.
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