Key takeaways
- H2O Driverless AI finds the factors most linked to attrition, such as workload, pay, growth, commute and work-life balance, from survey, exit-interview and HR data.
- Results are reported as patterns by role, team and tenure, to help HR improve conditions for groups of people, not to single out individuals.
- Every finding comes with reason codes, so HR leaders can see what drives it and test it against what employees say.
- An agent can turn the analysis into a plain-language summary and a retention action plan for HR leaders to review.
Understand why good people leave, before it's too late
In many organizations, certain roles and teams see disproportionately high turnover. Each departure means recruiting, training and weeks before a new colleague is fully productive, and customers or teammates notice the gap.
The reasons are usually already in your own data. Engagement surveys, exit interviews and HR records hold them, but they sit in different places and get read one report at a time, often after people have already gone.