Follow-up Experiments
Follow-up experiments are often necessary after the initial A/B testing. They aim at testing new hypotheses born from the learnings of the initial test, checking the long-term effects of the changes, or testing the changes on different segments. Follow-up experiments maximize the knowledge that can be gained and ensure that the feature improvements continue fulfilling user needs and business objectives over time.
Guide: Follow-up Experiments in AB Testing (PMI-ACP)
Follow-up experiments are one of the critical evaluation techniques in Agile methodologies and more specifically in AB Testing.
What is it?
Follow-up experiments refer to the subsequent testing steps carried out after initial AB testing. The purpose is to confirm the results or discover new insights.
Why it's important?
Follow-up experiments allow teams to validate results of the initial test, reduce errors and precisely understand the implications of the changes made.
How it works?
The team starts follow-up experiments based on the findings from the initial AB tests. Depending on the initial results, one or more variations of features may be subjected to deeper investigation.
Exam Tips: Answering Questions on Follow-up Experiments
1. Be familiar with the purpose and process of follow-up experiments: Know the definition and why it's important.
2. Understand the link between AB testing and follow-up experiments: Realize that follow-up experiments happen after AB testing and are based on the initial results.
3. Know the implications of follow-up experiments: Understand that these experiments can confirm initial findings, reveal further insights, and help fine-tune the final product changes.
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