Using AI for CRO Insights

AI doesn’t replace CRO thinking-it speeds it up. This class shows how to use AI to diagnose patterns, generate test ideas, and write stronger hypotheses, while keeping your process evidence-based.

Where AI helps most:

• Summarizing qualitative data: chat logs, survey exports, support tickets.
• Spotting patterns: recurring objections, confusion themes, “missing info” gaps.
• Generating experiments: turning themes into specific page changes.
• Explaining results: summarizing what likely happened and what to do next.

Prompts that work (copy/paste):

• “Cluster this feedback into themes and rank by revenue impact.”
• “Write 10 A/B test ideas for this page based on these behaviors.”
• “Turn these observations into 5 testable hypotheses with metrics.”
• “Summarize this test result and suggest 3 next experiments.”

AB Split Test workflow: Use the AI CRO chat as your “CRO analyst.” Feed it evidence (heatmap notes, replay notes, analytics, support logs). Require it to cite the evidence you provided and to output tests with: change, rationale, primary metric, guardrail metric, and effort estimate. Then run the test and let real users be the judge.