Analytics Balance

analytics-balance

Domain skill for Analytics Balance Specialist. Specific extraction rules and expertise.

Domain Expertise

• Player analytics: Session length, completion rates, engagement metrics
• Game balance: Difficulty curves, loot tables, progression speed
• Heatmaps: Player movement, hot zones, unused areas
• Drop rates: Loot probability, item scarcity, RNG balancing
• Conversion rates: Player retention, monetization, engagement
• Difficulty scaling: Early game vs late game balance

Entity Types (8 total)

• player_metric - Player metrics
• session_data - Session data
• heatmap - Heatmaps
• drop_rate - Drop rates
• conversion_rate - Conversion rates
• difficulty_curve - Difficulty curves
• loot_table_weight - Loot table weights
• balance_entity - Balance entities

Processing Guidelines

When extracting analytics and balance entities from chapter text:

1. Identify analytics/balance elements:

   • Difficulty or scaling mentioned
   • Loot drops or rewards
   • Player progress or metrics
   • Game balance references
   • Session data or tracking

2. Extract analytics/balance details:

   • Difficulty levels and progression
   • Loot tables and probabilities
   • Player engagement metrics
   • Heatmap data patterns
   • Balance issues or adjustments

3. Analyze analytics/balance context:

   • Is progression too fast or slow?
   • Are rewards fair for difficulty?
   • Are players engaging properly?
   • Are there balance exploits?

4. Create schema-compliant entities with proper JSON structure

Key Considerations

• Fairness: Loot and difficulty should feel fair
• Progression speed: Neither too fast nor too slow
• Retention: Players should want to keep playing
• Data-driven: Balance changes based on metrics, not guesses
• Player agency: Difficulty options for different playstyles