NALA AI analysis
Burnout prediction, know before they quit.
Your best employee resigns and you had no idea they were burned out. NALA analyses working hours, leave patterns, goal deadlines and engagement — flagging burnout risk 30 days before they quit, giving you time to intervene and keep them.
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The problem
You find out they are burned out when they resign. Too late.
Employees quit without warning
Your top performer resigns. "Why?" "Burned out for months." You had no idea. NALA tracks 15+ data points — hours, leave, goals, engagement — and predicts burnout 30 days before resignation, giving you time to fix it.
You cannot see workload imbalance
Sarah works 52 hours a week; John works 30. You do not notice until Sarah crashes. NALA compares hours across the team and alerts you when someone is 20% above average — redistribute before burnout.
No leave means inevitable burnout
An employee has not taken leave in six months and you assume they are committed — actually they are about to quit. NALA flags unused leave plus excessive hours and recommends mandatory time off.
Burnout spreads to the whole team
One burned-out employee drags down morale and others start leaving. NALA identifies burnout clusters — if two or more people in a department show signs, it recommends a team intervention.
Check-ins do not reveal the real issue
You ask "how are you?" and they say "fine" — but they are not. NALA analyses behaviour — declined kudos, missed deadlines, sick-leave patterns — and detects burnout even when employees hide it.
No data-driven wellbeing strategy
You guess at wellbeing initiatives — "yoga Fridays?" — and nobody cares. NALA shows the actual causes of burnout in your company, so you fix root causes, not symptoms.
The signals
15+ data points, analysed continuously.
Ready to prevent burnout?
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