Measure Workforce Culture and Wellbeing
Measure team dynamics, workforce wellbeing, and predictors of burnout from text contained in engagement surveys, performance reviews, and communications data.
Revolutionary insights into the health of your workforce
Start using the world's most extensively validated and widely used language-based psychological insights platform for understanding workforce culture and wellbeing
30+
YEARS OF RESEARCH
23,000+
RESEARCH CITATIONS
2,100+
USER COMMUNITY
Our science is built on a decades of research by experts in language, social and industrial psychology, machine learning, and data science, and has been in 20,000 research studies.
Big Five
Personality
Assess individual personality differences on 5 personality traits/states and 30 facets.
Drives and Motivations
Understand motivations such as appetite for risk, focus on achievement, reward, and more.
Needs and
Values
Predict behaviour and craft messaging that aligns with people's convictions.
Cognitive Measures
Measure cognitive load, analytical thinking, burnout, problem solving and more.
Leadership
Styles
Assess leadership styles by measuring Agentic and Communal leader qualities.
Use text data from virtually any source
Analyze with Receptiviti's easy-to-use visualization tools
Or use Receptiviti's web-based or container APIs
Workforce Culture Intelligence
Analyze language in open-ended survey responses, Glassdoor reviews, 360s, performance reviews, and more to gain critical information about specific topics that elicit strong emotions like anger, fear, excitement, and more.
Hidden Burnout Indicators
Analyze language in open-ended survey responses and uncover hidden information about workforce well-being, including indicators of stress, fatigue, and predictors of burnout.
Explore and Visualize Your Data
Easily analyze text to assess individuals or groups of people. Quickly visualize findings in customizable charts, graphs, and dashboards to explore your data and present your findings.
Workforce Case Studies and Examples
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. Read the article
Assessing Team Dynamics and Effectiveness
Differences in backgrounds, personalities, experiences, and perspectives 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.
Read about analyzing communications data to measure the alignment and cohesiveness of leadership teams, diversity, compatibility, and collaboration effectiveness. Read the case study
Measuring Risk Culture and Risk Predictors
Communications provide a longitudinal, bias-free data 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. Read the case study