Predict Burnout Before It Happens: Data-Driven HR Strategy

The Challenge

Who: Mid-size teams (50–500 employees), HR leaders, founders concerned about team health The Problem:

• High absenteeism, staff turnover draining morale and budget
• No early warning for burnout; people leave before you notice
• HR intuition vs. hard data — can’t justify wellness investments to CFO
• Disconnected data: satisfaction scores in one system, sick days in another, turnover in a spreadsheet

Real Example: A team lead notices 3 departures in Q1, 2 more in Q2. Exit interviews mention “unsustainable pace” and “no work-life balance.” But the org has no baseline, no trend, no actionable next steps.

The Solution: Integrated Wellness Analytics

A custom Power BI dashboard combining multiple data sources:

1. Data Integration Layer

• Kununu/Peakon job satisfaction scores (anonymized)
• Social security sick day records (BKK, AOK, etc.)
• Internal HR data: turnover, tenure, department
• Psychometric data (if available): stress surveys, pulse checks

2. Correlation & Risk Detection

• Visualize: satisfaction ↓ → sick days ↑ (quantified)
• Department burnout heatmaps (identify at-risk teams)
• Predictive model: which individuals/teams are flight risks?
• Benchmark against industry norms (e.g., social care vs. tech)

3. Actionable Insights

• “Engineering team satisfaction dropped 12 points this quarter — talk to them”
• “Department X sick days up 40% YoY — wellness intervention ROI: €X”
• “Turnover concentration in roles with <2-year tenure — onboarding issue”

The Results

Early burnout detection — catch trends before resignations pile up
Quantified ROI — show CFO that a €5k wellness program saves €40k in turnover costs
Data-driven HR — move from gut feel to evidence-based people strategy
Retention improvement — data reveals what people actually care about

Typical outcome: 20–40% reduction in preventable turnover within 12 months

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Why This Matters

Goga combines technical expertise (Power BI, data architecture) with psychology training (B.Sc. Psychology), meaning dashboards aren’t just pretty — they’re psychologically sound, grounded in burnout research (Maslach Burnout Inventory, job demands-resources theory).

The result: You get both the tech and the interpretation. Not just charts, but actionable human insights.

Cost: €3–8k for custom dashboard + quarterly consulting
Payoff: Typically covers itself in 2–3 months via retention alone

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See the live example of employee wellness analytics.

Next step: Let’s talk about your team’s biggest HR challenge.