Expected output
The deliverable should include Needs hierarchy, Purchase motivations, Barriers and concerns, Voice-of-customer phrases, and Testable hypotheses.
IntermediateMarket Research & Product Selection AI
Consumer Needs Insight | Comparative Decision Prompt
Consumer Needs Insight | Comparative Decision Prompt is a copyable AI prompt for ecommerce sellers. Use it to compare candidate options against one consistent decision framework. Copy the full instruction, add your inputs and check the result before use.
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How the Consumer Needs Insight | Comparative Decision Prompt works
Compare candidate options against one consistent decision framework. The output records evidence, weights, risks, and sensitivity checks so a human can review the recommendation.
Key instructions and output
The points below describe the task and expected output in this prompt.
Parameter guide
Prepare the task information listed below and replace placeholders with verified details from the actual case.
[Option A]
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[Option B]
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[Option C]
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[Target audience]
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[Reviews/interviews/support records]
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[Purchase behavior data]
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[Usage occasions]
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[Current brand positioning]
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Copy the complete prompt
The complete source is shown below. Copy it from the top right to use it.
You are a consumer insights researcher. Compare [Option A], [Option B], and [Option C] for the objective: extract needs, motivations, barriers, and customer language from behavior, reviews, and interviews. Inputs: [Target audience], [Reviews/interviews/support records], [Purchase behavior data], [Usage occasions], [Current brand positioning]. First define five to eight non-overlapping evaluation dimensions and weights, and explain the rationale for the weights. Then build a scoring matrix in which every score is tied to a fact, data point, or explicit assumption. Provide the best choice, conditions under which it is best, irreversible risks, the lowest-cost validation method, and Needs hierarchy, Purchase motivations, Barriers and concerns, Voice-of-customer phrases, Testable hypotheses. Do not invent missing information to force a conclusion. Special requirement: Separate observed facts, direct customer language, and researcher inference. Do not invent audience preferences.Test this prompt on a real task
Copy a starter instruction, add the required inputs, then run one example and review the output.
01Consumer Needs Insight | Comparative Decision Prompt
The deliverable should include Needs hierarchy, Purchase motivations, Barriers and concerns, Voice-of-customer phrases, and Testable hypotheses. Compare options and make a reviewable consumer needs insight decision
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Consumer Needs Insight | Comparative Decision Prompt
The deliverable should include Needs hierarchy, Purchase motivations, Barriers and concerns, Voice-of-customer phrases, and Testable hypotheses. Compare options and make a reviewable consumer needs insight decision
You are a consumer insights researcher. Compare [Option A], [Option B], and [Option C] for the objective: extract needs, motivations, barriers, and customer language from behavior, reviews, and interviews. Inputs: [Target audience], [Reviews/interviews/support records], [Purchase behavior data], [Usage occasions], [Current brand positioning]. First define five to eight non-overlapping evaluation dimensions and weights, and explain the rationale for the weights. Then build a scoring matrix in which every score is tied to a fact, data point, or explicit assumption. Provide the best choice, conditions under which it is best, irreversible risks, the lowest-cost validation method, and Needs hierarchy, Purchase motivations, Barriers and concerns, Voice-of-customer phrases, Testable hypotheses. Do not invent missing information to force a conclusion. Special requirement: Separate observed facts, direct customer language, and researcher inference. Do not invent audience preferences.Inputs to replace in this prompt
[Option A]- Replace this placeholder with verified, task-specific information before running the prompt.
[Option B]- Replace this placeholder with verified, task-specific information before running the prompt.
[Option C]- Replace this placeholder with verified, task-specific information before running the prompt.
[Target audience]- Replace this placeholder with verified, task-specific information before running the prompt.
[Reviews/interviews/support records]- Replace this placeholder with verified, task-specific information before running the prompt.
[Purchase behavior data]- Replace this placeholder with verified, task-specific information before running the prompt.
[Usage occasions]- Replace this placeholder with verified, task-specific information before running the prompt.
[Current brand positioning]- Replace this placeholder with verified, task-specific information before running the prompt.
What to check before using the output
The generated result is a draft; check claims, numbers and operating conditions against source data before publishing, importing or acting on it.
Operating note 1
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Operating note 2
Separate observed facts, direct customer language, and researcher inference. Do not invent audience preferences.
Operating note 3
Before uploading order, customer, contract, or supplier data, redact sensitive information and comply with platform terms, privacy policies, NDAs, and company data-governance requirements. Have the responsible operator review the result before it is published, sent, or executed.
Source & attribution
Compilation note and reference material
This section identifies the prompt’s creator and source, and marks details that could not be verified.
Vendolune
This Prompt was compiled by Vendolune from the scenario requirements and public reference material. The reference-page author is not credited as this Prompt's author.
Reference materialHubSpot
This link is reference material and does not establish its page author as the author of this Prompt. The author curates prompts for marketing, business, content, social media, data analysis, and email campaigns, and argues against vague prompts that lack business context.
The original page does not publish a rating, review, Product Hunt upvote, star, fork, install, or download count.
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