The method
Use this prompt to generate stronger hypotheses for A/B tests. Input your initial hypothesis and experiment goals. Apply the prompt during the planning phase of A/B testing, after initial data analysis but before launching experiments.
The prompts
Prompt 1
I'm conducting an A/B test on our e-commerce website. The current hypothesis is: 'Changing the button color on the product page from blue to green will increase the click-through rate to the checkout page.' The goal is to improve the conversion rate by 5%. Analyze this hypothesis, considering common user behavior patterns, color psychology principles, and best practices in e-commerce UX. Suggest three alternative, more refined hypotheses that might yield better results, explaining the rationale behind each suggestion. Also, provide a list of potential confounding variables we should control for during the experiment.
Prompt 2
We're running an A/B test on our email marketing campaign. The current hypothesis is: 'Including a personalized greeting in the email will increase the open rate.' The goal is to improve email open rates by 2%. Given this hypothesis, analyze potential biases and limitations. Generate three alternative hypotheses that take into account factors like subject line relevance, sender reputation, and recipient demographics. Explain how each alternative hypothesis addresses the shortcomings of the original. Also, suggest key metrics beyond open rate that we should monitor to assess the overall effectiveness of the campaign. What user segment can we use to test the waters before launching the A/B test for all users?