Build a burnout risk tracker

Here’s a complete concept for building a Burnout Risk Tracker, including features, logic, and implementation notes. This can be developed as a web app, mobile app, or integrated into existing wellness platforms.

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Burnout Risk Tracker – Core Features

1. User Profile Setup

• Fields:

  • Name

  • Age

  • Occupation

  • Industry

  • Weekly working hours

  • Sleep hours per night

  • Exercise frequency

  • Stress levels (self-rated, 1–10)

2. Weekly Burnout Risk Survey

• Based on validated burnout scales like Maslach Burnout Inventory (MBI) or Oldenburg Burnout Inventory (OLBI)

• Key Questions:

  • “I feel emotionally drained from my work.”

  • “I have become less interested in my work.”

  • “I feel tired when I get up in the morning.”

  • “My workload feels unmanageable.”

  • “I find it hard to relax after work.”

  • “I feel a lack of personal accomplishment.”

Responses rated 1–5 (Never to Always)

3. Burnout Risk Score Calculation

• Weighted average of:

  • Emotional exhaustion (40%)

  • Depersonalization/cynicism (30%)

  • Personal accomplishment/reduced efficacy (30%)

• Add modifiers for:

  • High workload (+10%)

  • Poor sleep (under 6 hours average) (+10%)

  • Lack of exercise (0 days/week) (+5%)

Risk Levels:

• Low: 0–2.5

• Moderate: 2.6–3.5

• High: 3.6–4.2

• Critical: 4.3–5

4. Real-Time Dashboard

• Visual burnout risk meter (color coded)

• Weekly trendline

• High-risk alert notification

• Suggested interventions (e.g., mindfulness exercises, time-off planning, therapy resources)

5. Daily Mood & Workload Check-In

• 3-question form:

  • How do you feel today? (Emoji scale)

  • How many hours did you sleep?

  • How demanding was your work today?

Used for trend analysis and early warnings.

6. Alerts and Recommendations

• If burnout risk is High or Critical:

  • Display actionable recommendations

  • Recommend taking a break, speaking to HR, or contacting a mental health professional

• Email notifications (optional)

• Exportable report (PDF for HR or personal tracking)

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Tech Stack Suggestions

Frontend

• React (for web app)

• React Native or Flutter (for mobile)

• Chart library: Recharts, Chart.js, or D3.js

• Authentication: Firebase Auth or Auth0

Backend

• Node.js or Python Flask/Django

• Database: PostgreSQL or Firebase Realtime DB

• Risk algorithm logic in backend for security

Deployment

• Firebase Hosting / Vercel / AWS

• SSL and data encryption for user privacy

• Optional: Integrate with wearables (Apple Health, Google Fit) for sleep/activity data

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Example: Burnout Risk Calculation Logic (Pseudocode)

python
CopyEdit
def calculate_burnout_score(responses, sleep_hours, exercise_days, workload):
    # Weighted categories
    emotional_exhaustion = average(responses['emotional'])
    cynicism = average(responses['cynicism'])
    reduced_efficacy = average(responses['efficacy'])

    base_score = (emotional_exhaustion * 0.4 +
                  cynicism * 0.3 +
                  reduced_efficacy * 0.3)

    modifiers = 0
    if sleep_hours < 6:
        modifiers += 0.1
    if exercise_days == 0:
        modifiers += 0.05
    if workload == "high":
        modifiers += 0.1

    final_score = base_score + (base_score * modifiers)
    return round(final_score, 2)

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Gamification & Engagement Add-ons

• Streak system for daily check-ins

• Burnout prevention tips unlocked over time

• Badge system: “Stress Aware”, “Resilience Champion”, etc.

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Would you like a full frontend code example in React or a backend API implementation for this tracker?