2nd/10_Wiki/Topics/Other/Burnout.md

---
id: wiki-2026-0508-burnout
title: Burnout
category: 10_Wiki/Topics
status: verified
canonical_id: self
aliases: [Occupational Burnout, Job Burnout, Maslach Burnout]
duplicate_of: none
source_trust_level: A
confidence_score: 0.95
verification_status: applied
tags: [mental-health, occupational-health, engineering-management, productivity]
raw_sources: []
last_reinforced: 2026-05-10
github_commit: pending
tech_stack:
  language: n/a
  framework: WHO ICD-11
---

# Burnout

## 매 한 줄
> **"매 chronic workplace stress 의 unsuccessful management 의 result — exhaustion + cynicism + reduced efficacy 의 triad"**. Maslach (1981) 의 measurement 의 origin, WHO ICD-11 (2019) 의 의 occupational phenomenon 의 official 의 classification, 2026 remote/hybrid + AI-augmentation 의 era 에서 의 always-on workload 와 skill-decay anxiety 의 의 acute 의 amplification.

## 매 핵심

### 매 Maslach 3 dimensions
- **Emotional Exhaustion**: depleted, drained, "tank empty"
- **Depersonalization / Cynicism**: detachment, callousness toward work / colleagues
- **Reduced Personal Accomplishment**: efficacy loss, "nothing matters"

### 매 6 mismatch sources (Maslach & Leiter)
- **Workload**: chronic overload
- **Control**: autonomy 의 lack
- **Reward**: recognition 의 absence
- **Community**: relationship breakdown
- **Fairness**: unequal treatment
- **Values**: misalignment with employer

### 매 응용
1. Engineering team early-warning — commit pattern + on-call burden 의 signal.
2. Recovery protocol — sabbatical, role rotation, scope reduction.
3. Prevention — sustainable pace, buffer time, retrospective culture.
4. Post-incident — psychological safety + blameless review.

## 💻 패턴

### Maslach Burnout Inventory (MBI) — quick screen
```python
from dataclasses import dataclass

@dataclass
class MBIScore:
    emotional_exhaustion: int   # 0-54
    depersonalization: int      # 0-30
    personal_accomplishment: int  # 0-48 (reverse)
    
    def risk_level(self) -> str:
        ee_high  = self.emotional_exhaustion >= 27
        dp_high  = self.depersonalization >= 13
        pa_low   = self.personal_accomplishment <= 31
        score = sum([ee_high, dp_high, pa_low])
        return ["Low", "Moderate", "High", "Severe"][score]
```

### Engineering burnout signals (commit telemetry)
```python
import pandas as pd

def burnout_signals(commits: pd.DataFrame, lookback_days: int = 60) -> dict:
    """Detect early burnout from commit timestamps."""
    recent = commits[commits["ts"] > pd.Timestamp.now() - pd.Timedelta(days=lookback_days)]
    return {
        "weekend_pct": (recent["ts"].dt.dayofweek >= 5).mean(),
        "after_hours_pct": ((recent["ts"].dt.hour < 9) | (recent["ts"].dt.hour > 19)).mean(),
        "commit_streak_days": longest_consecutive_day_streak(recent["ts"]),
        "pr_review_latency_p50": recent["review_latency_h"].median(),
    }

# Trigger: weekend > 25% OR streak > 21d OR after-hours > 20%
```

### On-call rotation fairness (page burden)
```python
def on_call_burden(pages: list[dict], engineer: str, window_days: int = 30) -> dict:
    """ICE-style page-volume + sleep-disruption tracking."""
    e_pages = [p for p in pages if p["engineer"] == engineer]
    sleep_disrupted = [p for p in e_pages if 0 <= p["hour"] < 6]
    return {
        "total_pages": len(e_pages),
        "sleep_disrupted_pages": len(sleep_disrupted),
        "comp_time_owed_h": len(sleep_disrupted) * 4,
    }
```

### Recovery protocol (manager template)
```python
@dataclass
class RecoveryPlan:
    duration_weeks: int
    scope_reduction_pct: float  # e.g. 0.5 = halve scope
    interventions: list[str]
    
    @classmethod
    def for_severity(cls, level: str) -> "RecoveryPlan":
        return {
            "Moderate": cls(2, 0.25, ["scope cut", "no on-call"]),
            "High":     cls(4, 0.5,  ["sabbatical week", "no meetings", "therapy"]),
            "Severe":   cls(8, 1.0,  ["medical leave", "psychiatric eval"]),
        }[level]
```

### Sustainable-pace policy (team-level)
```yaml
# .team/sustainable-pace.yaml
hours:
  expected_weekly: 40
  hard_cap: 50
  
on_call:
  rotation_size_min: 6
  weekend_compensation: comp_day
  paging_threshold: 3_per_shift

vacation:
  minimum_consecutive_days: 5
  manager_approval_required: false
  blackout_periods: []  # no blackouts allowed

friday_deploy: false
weekend_release: false  # except emergency
```

### Post-incident psychological safety
```
Blameless retrospective questions:
1. What did you observe? (no "you should have")
2. What constraint were you under?
3. What would have helped?
4. What systemic gap surfaced?
```

## 매 결정 기준
| 상황 | Approach |
|---|---|
| Early signal (1 dimension high) | Scope reduction + check-in |
| Moderate (2 dimensions) | Recovery plan + therapy referral |
| Severe (3 dimensions) | Medical leave + role evaluation |
| Team-wide pattern | Systemic — review WLB, rotation, scope |
| Post-major-incident | Blameless retro + comp time |

**기본값**: engineering manager 의 default — quarterly MBI screen + commit telemetry + sustainable-pace policy.

## 🔗 Graph
- 부모: [[Neuroergonomics]]
- 응용: [[Boundaries]] · [[Habit-Formation]]
- Adjacent: [[Anxiety]] · [[Ambition]] · [[Soft-Skills-Development]]

## 🤖 LLM 활용
**언제**: burnout signal detection from telemetry, recovery plan draft, retrospective question generation.
**언제 X**: clinical diagnosis 의 substitute 의 X — therapy 의 separate.

## ❌ 안티패턴
- **"Resilience training"-only**: individual fix 의 systemic problem 의 mask.
- **Pizza & ping-pong**: perks 의 root cause (workload, control) 의 not-address.
- **Burnout = weakness**: stigma 의 의 의 의 reporting 의 suppress.
- **Manager 의 "just push through"**: short-term gain 의 long-term attrition.

## 🧪 검증 / 중복
- Verified (Maslach & Leiter *The Truth About Burnout*; WHO ICD-11 QD85).
- 신뢰도 A.

## 🕓 Changelog
| 날짜 | 변경 |
|---|---|
| 2026-05-08 | Phase 1 |
| 2026-05-10 | Manual cleanup — Maslach 3D, MBI, commit telemetry signals, recovery protocol |