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10
Experimentation
This final level teaches you to scientifically test different elements of your customer journey.
Course Outline
All of the levels of the Solid Growth program consist of an online course to get everyone on the team on the same level, followed by a workshop to implement the theory together.
Hypothesis forming
Set up meaningful experiments with great hypotheses
Learn to create powerful, data-driven hypotheses to guide your A/B tests. Master the art of pinpointing improvement areas and setting the stage for meaningful experiments that directly address your e-commerce challenges.
Hypothesis formingUnderstand the importance of a well-constructed hypothesis for A/B testing.
Learn the components of a good hypothesis and how it drives the testing process.
Develop skills to identify areas of improvement and formulate actionable hypotheses.
Practice creating hypotheses based on common e-commerce scenarios and data analysis.
Building Experiments
Design and set up effective A/B experiments
Gain the knowledge to design, segment, and measure impactful A/B tests. Understand the nuances of setting up control and variation groups on your e-commerce platform, paving the way for insightful experimentation.
Building ExperimentsLearn the fundamentals of designing A/B tests, including control and variation setup.
Understand best practices for creating effective and measurable experiments.
Develop strategies for segmenting your audience and selecting relevant metrics.
Practice setting up an A/B test structure using e-commerce platform tools or A/B testing software.
How to set up an A/B test
Execute Flawless A/B Tests
Master the execution of A/B tests, from implementation to monitoring, ensuring the integrity and reliability of your data. Learn the right moment to conclude tests and how to adapt to external influences affecting outcomes.
How to set up an A/B testMaster the steps to correctly implement an A/B test on an e-commerce website.
Learn to monitor tests ensuring data integrity and avoiding common pitfalls.
Understand when to stop a test and how external factors can influence results.
Practice launching a simple A/B test based on previously formed hypotheses.
Analysing A/B test
Derive actionable insights from A/B testing data
Develop the ability to analyse and interpret A/B testing results with precision. Learn to distinguish statistical significance and extract valuable insights to inform data-driven decisions and optimise your funnel.
Analysing A/B testLearn techniques for analysing A/B test results effectively.
Understand statistical significance and how to interpret test outcomes.
Develop skills to draw actionable insights from test data.
Learn how to calculate how much traffic you need
Workshop about this level
A/B testing workshop
Setting up the design for your first experiment in Figma
Forming a hypothesis together
Best practices & inspiration
How to set goals
Experiment design
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