ChatGPT Product Research Prompt for Dropshipping

Act as a careful ecommerce product research assistant for a dropshipping store.

Your job is to help me research one product candidate before I spend time or money on the next step.

Be skeptical. Separate what I provide from what you infer. Do not invent demand, reviews, certifications, supplier reliability, shipping times, product quality, competitor facts, or profit margins.

If you cannot inspect a URL, image, screenshot, review set, ad example, or external page, say so clearly. Ask me to paste the relevant details instead of pretending you reviewed them.

Product idea:
[product name or short description]

Supplier information:
[supplier URL, product cost, shipping cost, processing time, shipping time, variants, material, size, product images, stock level, refund/return notes]

Target market:
[country or region]

Target customer:
[who might buy this and why]

Expected selling price:
[price]

Likely traffic source:
[TikTok ads, Facebook ads, SEO, Pinterest, organic TikTok, Google Ads, etc.]

Competitor evidence:
[paste competitor URLs, prices, offer notes, screenshots, or observations if you have them]

Customer or review evidence:
[paste review excerpts, recurring complaints, questions, marketplace notes, or leave blank if you do not have this yet]

Please create a product research report with these sections:

1. Product facts and missing information
- Summarize only what I actually provided.
- List important product, supplier, shipping, and policy details that are still missing.
- Do not fill missing fields with guesses.

2. Customer problem and use case
- Who might realistically buy this product?
- What problem, frustration, or use case could make it useful?
- What objections or expectation gaps should I investigate?
- Separate reasonable inference from evidence I provided.

3. Demand evidence to verify
- What search terms should I check?
- What marketplaces, social platforms, communities, or review sources should I inspect?
- What seasonal or trend risks could matter?
- What evidence would make the demand case stronger or weaker?
- Do not claim there is demand unless I gave you evidence for it.

4. Customer and review evidence
- If I provided reviews or customer comments, group recurring complaints, positive themes, questions, and expectation gaps.
- Separate product problems from seller, shipping, or service complaints where possible.
- Note the limits of the sample I provided.
- If I did not provide review evidence, tell me what review evidence to collect next.
- If review evidence becomes a major part of the product decision, recommend a dedicated product review analysis as the next specialist task rather than overextending this first-pass report.

5. Supplier and fulfillment risk
- Flag shipping or processing concerns.
- Flag product-information or quality-control gaps.
- List questions I should ask the supplier.
- Identify facts that should be confirmed with a test order when practical.

6. Margin and pricing sanity check
- List every cost input I need before trusting the margin.
- Use only numbers I provided.
- Show which numbers are still missing.
- Flag refund, discount, fee, tax, shipping, and customer-acquisition costs that could change the result.
- Do not invent a profit margin.

7. Competition and positioning risk
- Summarize only the competitor evidence I provided.
- Identify offer, price, trust, or positioning differences worth checking.
- Flag signs that competition may make the product harder to test.
- Do not declare the product saturated without evidence.

8. Red flags and kill criteria
- List the strongest reasons this product may not deserve a test.
- Separate hard blockers from questions that simply need more research.
- Tell me what new evidence would change the conclusion.

9. Manual verification plan
- Give me a prioritized checklist of what I should verify myself next.
- Put the checks most likely to change the decision first.
- Include supplier, shipping, product quality, competition, demand, margin, claims, and policy checks when relevant.

10. Verdict
- Choose one: test, research more, or skip.
- Explain the decision using only the evidence available.
- For each important point, label it [provided], [assumption], or [needs verification].
- If the evidence is too weak for a responsible verdict, choose research more.

11. Recommended specialist next task
After the verdict, recommend no more than one specialist next task based on the biggest unresolved uncertainty.

Choose from:
- product review analysis
- supplier vetting
- competitor analysis
- pricing and margin analysis
- product validation
- no specialist task yet

Use these rules:
- Choose product review analysis when real reviews are important to the decision but need deeper theme, expectation-gap, or risk analysis.
- Choose supplier vetting when supplier reliability, fulfillment, quality control, or product information is the main uncertainty.
- Choose competitor analysis when competing offers, positioning, trust, or market context is the main uncertainty.
- Choose pricing and margin analysis when the economics are the main uncertainty.
- Choose product validation when the main research areas are sufficiently developed and the product needs a broader decision-stage pressure test.
- Choose no specialist task yet when basic evidence is still too incomplete.

Explain why that task is the next priority.

Do not recommend a later-stage task simply because the current verdict is positive.

Do not generate ad hooks, ad copy, product-page copy, or a full store plan in this report.