Systems & Process
Checklists, audits, iteration frameworks, accessibility, performance, and the ethics of juice design.
Path outcome
Build repeatable systems for tuning, testing, and improving game feel.
- Level
- Advanced
- Time
- 39m
- Best for
- Production workflow
Curriculum
Read in order
6 lessons
- 1 Lesson 1 11 minThe Game Juice Checklist: 30 Ways to Polish Any Game
A curated, prioritised checklist of 30 juice techniques you can apply to any game this week. Synthesised from Vlambeer's legendary list, the juice audit framework, and five volumes of game feel research. Tiered by time investment.
- 2 Lesson 2 7 minThe Juice Audit: A Systematic Process for Evaluating Game Feel
A step-by-step process for auditing an existing game's feedback completeness. The event inventory method, coverage matrix, intensity calibration, and how to run a feedback session that produces actionable prioritised improvements.
- 3 Lesson 3 6 minThe 6-Step Juice Iteration Process
Identify event, design response, prototype quickly, test feel first (not look), tune intensity, ship and measure. A repeatable workflow for adding juice systematically rather than randomly, with time-box guidelines for each step.
- 4 Lesson 4 5 minThe Ethics of Juice: When Polish Becomes Manipulation
Dark patterns in game feel: loot box animations engineered for dopamine hits, variable reward timers, endless scroll mechanics. How to distinguish juice that serves the player from juice that exploits them, and a framework for ethical feedback design.
- 5 Lesson 5 5 minAccessible Juice: Designing Polish for All Players
Motion sensitivity settings, photosensitivity modes, audio description alternatives to visual effects, and high-contrast feedback. How to build a juice system that doesn't exclude players with disabilities - with real implementation patterns.
- 6 Lesson 6 5 minPerformance Patterns for Juice: Keeping It Fast
Object pooling for particles, GPU instancing for VFX, audio bus management, and frame-budget-aware LOD for feedback systems. How to maintain 60fps while running rich feedback - with profiler patterns and common performance pitfalls.