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Study mode:
on
1
Intro
2
Data is a Hot Mess
3
A Tale of Two Games
4
A Different Tale of Two Games
5
Triangulating Truth
6
Building Worlds
7
Audience Mix
8
Audience Age
9
Averages are Average Tutorial Completion Rate
10
Small Sample Sizes
11
Nothing is Normal
12
Outliers Rule
13
Cherry Picking
14
Confirmation Bias
15
Axis of Evil
16
Everything Correlates with Engagement
17
A/B Tests
18
(Miss) Assignment
19
(Huge Miss) Assignment
20
Downstream Example
21
Premature Analysis
22
Statistical Significance True Mean
23
Abnormal Testing
24
Medians and Distribution FTW
25
Extreme Description Testing
26
Meaningful No Difference
27
A/B/C(ontext) Testing
28
Not Everything is Testable
29
Hierarchy of Testing
30
Game Data Lifecycle
31
Creative Iteration
32
Pre-Production Testing
33
There's No Right Answer
Description:
Explore common mistakes and pitfalls in game data analysis through this 2018 GDC conference talk. Gain practical guidance on improving test rigor and data quality as Kongregate's Emily Greer delves into topics such as audience mix, sample sizes, outliers, correlation pitfalls, A/B testing, and statistical significance. Learn about the game data lifecycle, creative iteration, and pre-production testing while understanding that there's no single right answer in data-driven game development.

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

GDC
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