What did the customer actually say?
Record the words separately from your interpretation. A comment such as “interesting” can lead to a useful follow-up question, but it does not tell you whether someone would pay for the proposed product.
Ask what the person does today, what makes that difficult and what would need to change before they consider another option. Keep the decision being examined specific enough to investigate.
Does the offer explain its own context?
Read the description without the explanation you usually give on a call. Identify the terms that depend on your own knowledge of the product.
A synthetic persona panel can suggest where an explanation might be missing. Those reactions are generated by a model. Check the question with potential customers before treating it as a finding about their needs.
Do the terms match the promise?
Put the headline beside the price, conditions and next step. Check whether they describe the same offer.
In an internal towing-website study, a pricing footnote weakened the certainty of the headline’s promise. That contradiction could be examined in the published wording. The study did not establish how many customers would book after a change.
Could the research repeat your assumption?
Review the material supplied to the panel. If it already contains the conclusion you expected, generated agreement may be repeating that information.
Founder Effect includes a separate review that challenges what a finding can support. The review may reject an interpretation or narrow the next test. It cannot make synthetic reactions equivalent to observed customer behavior.
What would change the decision?
Choose a check that addresses the remaining uncertainty. Compare contradictory statements in the offer directly. For willingness to pay, seek evidence from actual potential customers.
The method remains in development. Read how the research works and its limitations.