Rather than relying on a one-time exit interview, Sparkbay analyzes the anonymous engagement feedback employees gave in the weeks and months before they left.
By comparing employees who left with those who stayed, Sparkbay reveals the engagement drivers most associated with departures, so you can act on what matters.
The same signals that explain past exits help Sparkbay flag employees and teams at risk today, so you can act before they leave.
Pre-departure feedback is anonymous, so it reflects how people really felt.
See which drivers separate those who leave from those who stay.
Use the same signals to retain employees still on your team.
Sparkbay gives managers the tools to understand where they need to improve and have quality conversations with their team.
Sparkbay does not run separate, identified exit interviews. Instead, it analyzes the anonymous engagement feedback employees gave in the weeks and months before they left, which reveals why people leave while preserving anonymity.
Sparkbay compares the pre-departure scores of employees who left with those who stayed to surface the engagement drivers most associated with turnover.
Yes. Sparkbay analyzes aggregated, anonymous engagement data; it does not attribute individual responses to departing employees.
Yes. Sparkbay complies with Quebec's Law 25 (Loi 25) and the EU GDPR. Employee personal data is pseudonymized, encrypted in transit and at rest, and access is role-based. Learn more about our Quebec (Loi 25) and France (GDPR) compliance.