Detecting early burnout signals and nudging teams before resignations

Detecting early burnout signals and nudging teams before resignations targets a $7.5B = 1.5M professional services firms × $5K ACV (annual people-analytics & burnout prevention spend per firm) total addressable market with medium saturation and a year-over-year growth rate of 12% YoY — based on HR tech / employee experience market growth estimates (Gartner, MarketsandMarkets reports on people analytics and EX growth).

Key trends driving demand: Hybrid and remote work — creates new behavioral signals (meeting overload, async communication) that make automated risk detection helpful to managers.; Rising investment in employee experience — companies are allocating budget to reduce churn and improve utilization, increasing willingness to pilot retention tech.; Advances in explainable AI — improved ability to present interpretable risk drivers (workload, sentiment, participation) making HR teams trust automated signals.; Privacy-first analytics — growing demand for anonymized benchmarking and opt-in models that let organizations measure burnout risk without invasive monitoring..