balance-designer

Game balance analysis requires SQL-based data inspection and formula review to validate progression curves, reward ratios, and costs, producing concrete before-and-after numerical tuning recommendations for quest economy and recruitment odds.

Economy simulation estimates time-to-progress, break-even points, and expected value changes by reviewing static data and game logic, turning scattered numbers into clear tuning guidance with data-backed before-and-after comparisons.

Validating quest formulas in Supabase-backed data involves SQL-based data inspection to review success-rate formulas, identify bottlenecks and outliers in reward ratios, and propose concrete numerical adjustments to correct imbalances.

Yes, tuning recruitment odds and movement timing applies directly to the mercenary band strategy game by analyzing static data and game logic to find progression bottlenecks and recommend specific numerical changes.

No external dependencies are required; balance analysis operates by applying SQL-based data inspection and formula review directly to Supabase-backed static data to evaluate costs and progression curves.

An economy feels too punishing or generous when progression curves and reward ratios contain bottlenecks or outliers, which balance analysis identifies by simulating expected value changes and time-to-progress metrics.