The method
Use this prompt after identifying key drop-off points in your e-commerce funnel using analytics. Paste user session recordings transcripts or heatmaps data into the prompt. Target conversion bottlenecks like cart abandonment or low product page engagement.
The prompts
Prompt 1
Analyze the following user session recordings transcripts and website heatmaps data from my e-commerce website [website URL]. Identify at least five key areas where users are experiencing friction or are not converting effectively. Provide actionable recommendations for improving the user experience and increasing conversion rates for each identified area, focusing on specific UI/UX elements, content, or website flow changes. The goal is to improve the website's conversion rate, reduce cart abandonment, and enhance user engagement. Please provide a detailed rationale for each recommendation.
Prompt 2
Based on the provided data from [website URL] heatmaps and user session recordings, formulate five A/B test hypotheses to optimize the checkout process. Each hypothesis should include a clear description of the change being tested, the expected outcome, and the key metrics to track. For example, 'Hypothesis: Simplifying the checkout form by removing optional fields will reduce cart abandonment. Metric: Cart abandonment rate.' Provide specific designs or content changes for each variation to test. Provide expected outcomes and potential impacts on conversion rates.