Section 1 : Introduction

Lecture 1 INTRODUCTION TO BRAINMEASURES PROCTOR SYSTEM Pdf
Lecture 2 About Certification Pdf

Section 2 : AB testing and the optimisation process

Lecture 3 Introduction 1:14
Lecture 4 Insight gathering 1:21
Lecture 5 Testing and iteration
Lecture 6 About Proctor Testing Pdf

Section 3 : Measuring success

Lecture 7 Introduction 0:35
Lecture 8 The importance of a measurement framework 0:19
Lecture 9 Knowing your top-level business objectives 0:39
Lecture 10 Primary vs secondary metrics 1:30
Lecture 11 Documenting objectives and goals 3:2
Lecture 12 Setting a baseline 0:55

Section 4 : Insight gathering

Lecture 13 Introduction 0:39
Lecture 14 Quantitative and qualitative data 0:58
Lecture 15 Analytics insights 3:9
Lecture 16 Heuristic analysis 1:40
Lecture 17 Customer surveys
Lecture 18 Live chat 2:2
Lecture 19 Session replay 1:27
Lecture 20 Online user testing 1:5

Section 5 : Testing and iteration

Lecture 21 Introduction 0:40
Lecture 22 A-B testing 3:10
Lecture 23 Multivariate testing 2:19
Lecture 24 Multi-page testing 1:21
Lecture 25 Split URL or redirect testing 0:51
Lecture 26 Which types of testing should I do- All of them- 1:5

Section 6 : Before testing

Lecture 27 Introduction 0:21
Lecture 28 Building your team 2:5
Lecture 29 Experiment planning 6:12
Lecture 30 Prioritising experiments
Lecture 31 Why you need a problem statement 4:42
Lecture 32 Creating a hypothesis 3:53
Lecture 33 Generating ideas to test 1:3
Lecture 34 Choosing which segments to target
Lecture 35 Quality assurance 3:56
Lecture 36 Setting up the testing environment 15:14
Lecture 37 Creating an A-B test 5:39
Lecture 38 Setting objectives for your A-B test 3:48
Lecture 39 Targeting your visitors 2:44
Lecture 40 Pushing an experiment live 0:56

Section 7 : During testing

Lecture 41 Introduction 0:23
Lecture 42 Knowing when to stop an experiment 2:31
Lecture 43 Understanding p-value 0:46
Lecture 44 Significance and sample size calculators 4:10
Lecture 45 One-tailed versus two-tailed tests 1:2
Lecture 46 Understanding validity 1:53
Lecture 47 Amending experiments while they are in progress 2:5
Lecture 48 The correct way to ramp up traffic volumes 1:17

Section 8 : After testing

Lecture 49 Introduction 0:35
Lecture 50 Analysing and interpreting experiment results 4:18
Lecture 51 What to do if a variant loses
Lecture 52 Running experiments as series, not in isolation 1:27
Lecture 53 Maintaining an experiment backlog 1:27

Section 9 : Documenting your AB tests

Lecture 54 Introduction 0:20
Lecture 55 The test plan 1:48
Lecture 56 The test prioritisation planner 2:5
Lecture 57 The test report 2:50
Lecture 58 The test results template 0:44
Lecture 59 The test scheduler 1:54