Data-Driven or Data-Blinded? Uses and Abuses of Analytics in Games

Data-Driven or Data-Blinded? Uses and Abuses of Analytics in Games

GDC via YouTube Direct link

Triangulating Truth

5 of 33

5 of 33

Triangulating Truth

Class Central Classrooms beta

YouTube videos curated by Class Central.

Classroom Contents

Data-Driven or Data-Blinded? Uses and Abuses of Analytics in Games

Automatically move to the next video in the Classroom when playback concludes

  1. 1 Intro
  2. 2 Data is a Hot Mess
  3. 3 A Tale of Two Games
  4. 4 A Different Tale of Two Games
  5. 5 Triangulating Truth
  6. 6 Building Worlds
  7. 7 Audience Mix
  8. 8 Audience Age
  9. 9 Averages are Average Tutorial Completion Rate
  10. 10 Small Sample Sizes
  11. 11 Nothing is Normal
  12. 12 Outliers Rule
  13. 13 Cherry Picking
  14. 14 Confirmation Bias
  15. 15 Axis of Evil
  16. 16 Everything Correlates with Engagement
  17. 17 A/B Tests
  18. 18 (Miss) Assignment
  19. 19 (Huge Miss) Assignment
  20. 20 Downstream Example
  21. 21 Premature Analysis
  22. 22 Statistical Significance True Mean
  23. 23 Abnormal Testing
  24. 24 Medians and Distribution FTW
  25. 25 Extreme Description Testing
  26. 26 Meaningful No Difference
  27. 27 A/B/C(ontext) Testing
  28. 28 Not Everything is Testable
  29. 29 Hierarchy of Testing
  30. 30 Game Data Lifecycle
  31. 31 Creative Iteration
  32. 32 Pre-Production Testing
  33. 33 There's No Right Answer

Never Stop Learning.

Get personalized course recommendations, track subjects and courses with reminders, and more.

Someone learning on their laptop while sitting on the floor.