game design fogg behavior audit

The problem

Game features often fail not because they lack value, but because the design fails to trigger actual player action. Designers struggle to diagnose whether a low-adoption feature suffers from weak rewards, high friction, or poor timing.

What it does

• Identifies the specific target player behavior a feature is meant to elicit.
• Audits features using the Fogg Behavior Model to isolate bottlenecks in Motivation, Ability, or Prompting.
• Diagnoses whether player drop-off is caused by cognitive load, resource gates, or UI friction.
• Evaluates the timing and visibility of triggers to ensure they hit when player motivation is highest.
• Provides actionable design changes to fix specific behavioral failures.

Why this beats prompting it yourself

General LLMs often provide vague aesthetic feedback or generic "gameification" fluff. This skill forces a disciplined behavioral analysis that separates desire from ease-of-use, preventing the common mistake of adding rewards to a feature that is actually just too difficult to find or use.

Use cases

• Auditing First Time User Experience (FTUE) and tutorial completion rates.
• Identifying why players aren't engaging with specific monetization prompts or store offers.
• Increasing participation in daily events, battle passes, or guild social actions.
• Refining progression loops where players stall despite having enough resources.