How to Avoid a Bad Steam Score?
summary
Argues that early, repeated playtesting prevents a bad Steam score by turning recurring player complaints into specific fixes: add difficulty modes, revamp confusing UI and maps, optimize framerate, remap clunky controls, and tweak AI based on patterns seen across testers. Describes test sizes from friends-and-family to closed alpha/beta to massive open tests, and data types to collect—ratings, surveys, player behavior analytics, video—plus recruitment tips (students, micro‑influencers, Steam playtest) and the need to retest after fixes.
AI-written summary · about
chapters (8)
- 0:00Introduction
- 2:27What is play testing
- 10:54Turning feedback into action
- 16:30Running a play test
- 23:32Balancing play testing
- 31:19Using play testing data
- 32:42Key takeaways
- 33:30Q&A session
related talks
58mCurrent challenges for game developers
58mThe Psychology of Play: The Power of Understanding Your Players
01h 01mBetter Playtesting for Indie Developers
24mThe more we test, the worse?
23mEthical Testing
53mBalancing gameplay of aRPG using player behavioral patterns
31mSuperstar Session: The Key Elements for a Meaningful Hypercasual Game Review
32mHow Your Players Can Make You A Better Developer