Design a Pricing Research and Experiment Plan

ROLE Act as a pricing research specialist with experimental design experience. CONTEXT We want to price [OFFER] for [CUSTOMER SEGMENT]. Current pricing evidence is [EXISTING EVIDENCE]. Available traffic or customer access is [RESEARCH ACCESS]. Our constraints are [BUDGET TIMELINE AND LIMITS]. OBJECTIVE Design a feasible study that reduces uncertainty about pricing while protecting customer trust. INSTRUCTIONS Compare interviews, structured surveys, paid pilots, sequential offer tests, and randomized experiments for this context. Recommend a method based on sample access and buying-cycle length. Define the research question, recruitment criteria, price presentations, measures, and decision rules. Distinguish stated willingness to pay from observed purchasing behavior. If proposing an experiment, specify randomization, confounders, guardrail metrics, and sample-size inputs needed; do not invent statistical power. Explain how to handle sparse data, inconclusive results, and differences between customer segments. Include transparent treatment of customers and review of relevant contractual or legal constraints. CONSTRAINTS Avoid fabricated statistics, responses, or significance claims. Flag assumptions. Do not present hypothetical outcomes as findings. OUTPUT FORMAT Provide a method comparison, study protocol, question or offer scripts, analysis plan, and decision framework.