While employee engagement surveys have become par for the course in many companies, survey data only unlocks part of the puzzle of strategically addressing employee engagement and retention. Recent research shows that individual-level data paired with relational analysis (how employees interact with one another) is a better predictor of performance and engagement. By analyzing trends from calendars, emails, chat messages, and other collaboration tools, Organizational Network Analysis (ONA) can identify the communication patterns that contribute to high performing teams and an engaged workforce, as well as help identify the critical influencers and sources of knowledge in your organization.
This presentation reveals how Dropbox plans to merge “active” engagement survey data with “passive” behavior analysis data to provide a more comprehensive and strategic investigation to address one of the company’s top goals: increasing employee engagement.
- This session will challenge you to think about non-conventional ways your organization can measure employee engagement and how you can merge different data streams for a more robust analysis.
- Highlight the limitations of survey research in understanding and predicting employee behavior
- Outline how Organizational Network Analysis works and the associated data privacy concerns
- This session provides a candid look at the challenges of developing and managing cross-department and organization-wide data analytics projects
- Discuss Dropbox’s plans for pairing employee lifecycle data across surveys, HRIS, learning and development tracks, and working style. As well as the challenges around data cleanliness, completeness, and different systems.