Find the questions, doubts or broken steps that may stop people buying. Record what you've actually seen, plan one sensible fix, and leave with a report you can act on.
Use a real offer. The example shows how this works, but it is fictional.
Think of something a buyer actually asked, a problem you noticed, or a suspicion you want to test.
Think of a buyer who nearly said yes. What question or obstacle might have stopped them?
Problem: Customers ask whether a service covers their postcode. Evidence: Three enquiries actually asked. Possible fix: Publish a clear service-area list. Check: Watch for the same question in future enquiries.
It's a transparent organising hint based on the impact, effort and evidence level that you enter. It is not a conversion rate, predicted uplift or independent market measurement. Hypotheses are labelled “Check evidence first”.
Make a single well-defined change, track observations you genuinely have access to, and compare them carefully. With very small samples, a reduction in repeated questions can be useful insight, but not proof of a causal sales increase.
Preview the exact standalone HTML report you can download. Use a new window to inspect the finished version. No AI calls or analytics connections.