Section 1 : Introduction

Lecture 1 INTRODUCTION TO BRAINMEASURES PROCTOR SYSTEM
Lecture 2 About Certification

Section 2 : AB testing and the optimisation process

Lecture 1 Introduction 00:01:14 Duration
Lecture 2 Insight gathering 00:01:21 Duration
Lecture 3 Testing and iteration
Lecture 4 About Proctor Testing

Section 3 : Measuring success

Lecture 1 Introduction 00:00:35 Duration
Lecture 2 The importance of a measurement framework 00:00:19 Duration
Lecture 3 Knowing your top-level business objectives 00:00:39 Duration
Lecture 4 Primary vs secondary metrics 00:01:30 Duration
Lecture 5 Documenting objectives and goals 00:03:02 Duration
Lecture 6 Setting a baseline 00:00:55 Duration

Section 4 : Insight gathering

Lecture 1 Introduction 00:00:39 Duration
Lecture 2 Quantitative and qualitative data 00:00:58 Duration
Lecture 3 Analytics insights 00:03:09 Duration
Lecture 4 Heuristic analysis 00:01:40 Duration
Lecture 5 Customer surveys
Lecture 6 Live chat 00:02:02 Duration
Lecture 7 Session replay 00:01:27 Duration
Lecture 8 Online user testing 00:01:05 Duration

Section 5 : Testing and iteration

Lecture 1 Introduction 00:00:40 Duration
Lecture 2 A-B testing 00:03:10 Duration
Lecture 3 Multivariate testing 00:02:19 Duration
Lecture 4 Multi-page testing 00:01:21 Duration
Lecture 5 Split URL or redirect testing 00:00:51 Duration
Lecture 6 Which types of testing should I do- All of them- 00:01:05 Duration

Section 6 : Before testing

Lecture 1 Introduction 00:00:21 Duration
Lecture 2 Building your team 00:02:05 Duration
Lecture 3 Experiment planning 00:06:12 Duration
Lecture 4 Prioritising experiments
Lecture 5 Why you need a problem statement 00:04:42 Duration
Lecture 6 Creating a hypothesis 00:03:53 Duration
Lecture 7 Generating ideas to test 00:01:03 Duration
Lecture 8 Choosing which segments to target
Lecture 9 Quality assurance 00:03:56 Duration
Lecture 10 Setting up the testing environment 00:15:14 Duration
Lecture 11 Creating an A-B test 00:05:39 Duration
Lecture 12 Setting objectives for your A-B test 00:03:48 Duration
Lecture 13 Targeting your visitors 00:02:44 Duration
Lecture 14 Pushing an experiment live 00:00:56 Duration

Section 7 : During testing

Lecture 1 Introduction 00:00:23 Duration
Lecture 2 Knowing when to stop an experiment 00:02:31 Duration
Lecture 3 Understanding p-value 00:00:46 Duration
Lecture 4 Significance and sample size calculators 00:04:10 Duration
Lecture 5 One-tailed versus two-tailed tests 00:01:02 Duration
Lecture 6 Understanding validity 00:01:53 Duration
Lecture 7 Amending experiments while they are in progress 00:02:05 Duration
Lecture 8 The correct way to ramp up traffic volumes 00:01:17 Duration

Section 8 : After testing

Lecture 1 Introduction 00:00:35 Duration
Lecture 2 Analysing and interpreting experiment results 00:04:18 Duration
Lecture 3 What to do if a variant loses
Lecture 4 Running experiments as series, not in isolation 00:01:27 Duration
Lecture 5 Maintaining an experiment backlog 00:01:27 Duration

Section 9 : Documenting your AB tests

Lecture 1 Introduction 00:00:20 Duration
Lecture 2 The test plan 00:01:48 Duration
Lecture 3 The test prioritisation planner 00:02:05 Duration
Lecture 4 The test report 00:02:50 Duration
Lecture 5 The test results template 00:00:44 Duration
Lecture 6 The test scheduler 00:01:54 Duration