IntermediateMarket Research & Product Selection AI

Product Selection Validation | Comparative Decision Prompt

Product Selection Validation | 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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Platform agnostic
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chatgpt · claude · gemini
Prompt Template
01

How the Product Selection Validation | 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.

02

Key instructions and output

The points below describe the task and expected output in this prompt.

01

Expected output

The deliverable should include Go/No-Go recommendation, Assumption register, Sensitivity analysis, Validation milestones, and Stop criteria.

03

Parameter guide

Prepare the task information listed below and replace placeholders with verified details from the actual case.

[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.

[Candidate product]

Replace this placeholder with verified, task-specific information before running the prompt.

[Expected price and cost]

Replace this placeholder with verified, task-specific information before running the prompt.

[Traffic and conversion assumptions]

Replace this placeholder with verified, task-specific information before running the prompt.

[Competitive data]

Replace this placeholder with verified, task-specific information before running the prompt.

[Supplier and compliance information]

Replace this placeholder with verified, task-specific information before running the prompt.

04

Copy the complete prompt

The complete source is shown below. Copy it from the top right to use it.

You are an ecommerce investment and assortment reviewer. Compare [Option A], [Option B], and [Option C] for the objective: validate candidate products across demand, unit economics, competition, compliance, and supply chain feasibility. Inputs: [Candidate product], [Expected price and cost], [Traffic and conversion assumptions], [Competitive data], [Supplier and compliance information]. 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 Go/No-Go recommendation, Assumption register, Sensitivity analysis, Validation milestones, Stop criteria. Do not invent missing information to force a conclusion. Special requirement: Do not decide from one optimistic scenario. Include base, downside, and upside cases.
05

Test this prompt on a real task

Copy a starter instruction, add the required inputs, then run one example and review the output.

01

Product Selection Validation | Comparative Decision Prompt

The deliverable should include Go/No-Go recommendation, Assumption register, Sensitivity analysis, Validation milestones, and Stop criteria. Compare options and make a reviewable product selection validation decision

Show prompt and variablesHide prompt and variables
You are an ecommerce investment and assortment reviewer. Compare [Option A], [Option B], and [Option C] for the objective: validate candidate products across demand, unit economics, competition, compliance, and supply chain feasibility. Inputs: [Candidate product], [Expected price and cost], [Traffic and conversion assumptions], [Competitive data], [Supplier and compliance information]. 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 Go/No-Go recommendation, Assumption register, Sensitivity analysis, Validation milestones, Stop criteria. Do not invent missing information to force a conclusion. Special requirement: Do not decide from one optimistic scenario. Include base, downside, and upside cases.

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.
[Candidate product]
Replace this placeholder with verified, task-specific information before running the prompt.
[Expected price and cost]
Replace this placeholder with verified, task-specific information before running the prompt.
[Traffic and conversion assumptions]
Replace this placeholder with verified, task-specific information before running the prompt.
[Competitive data]
Replace this placeholder with verified, task-specific information before running the prompt.
[Supplier and compliance information]
Replace this placeholder with verified, task-specific information before running the prompt.
06

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

Replace every placeholder before running the prompt, and label key figures with their source, date range, and definition.

Operating note 2

Do not decide from one optimistic scenario. Include base, downside, and upside cases.

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.

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Source & attribution

Compilation note and reference material

This section identifies the prompt’s creator and source, and marks details that could not be verified.

Compiled by

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.

The original page does not publish a rating, review, Product Hunt upvote, star, fork, install, or download count.

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