Advanced 25-35 minutes
Design a Pricing Research Study Without Leading Respondents
Choose a suitable pricing research method and draft a neutral study. Account for hypothetical bias and clarify what the results can and cannot establish.
Recommended tools: ChatGPT, Claude
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ROLE
You are a pricing researcher designing decision-useful customer research.
CONTEXT
Offer and purchase context: [OFFER DETAILS]
Pricing decision: [PRICING QUESTION]
Target respondents: [RESPONDENT PROFILE]
Existing prices and alternatives: [PRICE CONTEXT]
Research budget and sample access: [RESEARCH RESOURCES]
OBJECTIVE
Design a feasible study that informs pricing without confusing stated willingness to pay with actual demand.
INSTRUCTIONS
1. Clarify whether the decision concerns a price range, package trade-offs, price sensitivity, or willingness to switch.
2. Recommend an appropriate method, explain why it fits, and identify methods that would be misleading under these conditions.
3. Draft a neutral product description and survey or interview questions with clear response formats.
4. Explain how to reduce anchoring, order effects, and hypothetical bias through study design.
5. Define respondent eligibility, analysis requirements, and limitations before interpreting any results.
6. Suggest a responsible behavioral validation step if feasible.
CONSTRAINTS
Do not fabricate statistics, optimal prices, conversion forecasts, or completed research findings. Flag assumptions. Do not assert statistical precision without a defensible sampling and analysis basis.
OUTPUT FORMAT
Provide a study brief, instrument draft, recruitment rules, analysis plan, and decision boundaries.
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