Teacher Retention Analytics
Retention, wellbeing, and the leadership behaviors that keep great teachers — operationalizing doctoral research on how leaders influence teacher retention. All figures are illustrative sample data.
This module operationalizes Dr. Barbara Z. Franks' doctoral research on the leadership behaviors that influence teacher retention. The retention drivers, wellbeing signals, and recommended interventions below translate those findings — trust, recognition, voice, manageable workload, growth, and support — into an executive decision-support view.
Retention Drivers — strength of each leadership lever
Retention Trend
Retention has climbed from 82% to 88% as recognition and voice initiatives matured.
Organizational Commitment
Exit-Interview Themes
| Theme | Frequency | Recommended action |
|---|---|---|
| Workload & time pressure | 31% | Protect planning time; audit non-teaching duties |
| Felt unrecognized | 22% | Embed regular, specific recognition routines |
| Limited career growth | 18% | Build teacher-leader and coaching pathways |
| Leadership communication | 15% | Increase listening sessions & transparency |
| Compensation / external offer | 9% | Benchmark pay; strengthen stay-conversations |
| Relocation / personal | 5% | Outside leadership influence — monitor only |
🔮 Predictive Turnover Risk — decision-support, not a prediction about any individual
Modeled aggregate risk by team. These are decision-support signals to prompt supportive leadership action — they are not predictions about any individual teacher.
🎯 Recommended Interventions — click to expand
Workload is the lowest driver (63%) and the top exit theme. Audit meetings and non-teaching duties; reclaim planning blocks.
Recognition (74%) lags trust and support. Embed specific, frequent recognition tied to instructional excellence.
Highest modeled risk team. Lead proactive, supportive stay-conversations focused on growth and voice.
Career growth is a recurring exit theme. Build teacher-leader, mentoring, and coaching pathways.
All data shown is illustrative sample data created for demonstration. Predictive figures are decision-support, not predictions about any individual.