Dropshipping Product Research

Evaluates dropshipping products by scoring demand, competition, margin, creative fit, and risk to recommend go, test, or reject decisions.

Overview

Dropshipping Product Research helps beginners and small operators evaluate whether a product is worth testing. It is a descriptive, non-API MVP focused on structured scoring, risk filtering, and clear go / test / reject decisions.

Trigger

Use this skill when the user wants to:

• evaluate a product idea for dropshipping
• compare multiple product candidates
• estimate risk, margin, and creative fit
• build a weekly shortlist for testing

Example prompts

• "Evaluate this product for dropshipping in the US"
• "Should I test a galaxy projector or pet grooming glove?"
• "Give me a go / test / reject recommendation"
• "Help me score 3 product ideas for my store"

Workflow

1. Capture candidate, market, and positioning constraints.
2. Infer demand, competition, margin, creative angle, and risk.
3. Produce a viability score and recommendation.
4. Summarize why it may win, why it may fail, and what to test next.

Inputs

• product name or keyword
• optional product link or niche
• target market
• price target or cost hints
• mode: single product / batch / trend scouting

Outputs

• viability score
• sub-scores: demand, competition, margin, creative fit, risk
• recommendation: Go / Test / Reject
• memo with hypotheses and next steps

Safety

• No marketplace scraping or real-time trend API access
• No guarantee of profit or compliance clearance
• Recommendations are heuristic and should be validated with real tests

Acceptance Criteria

• Must output markdown
• Must include all five scoring dimensions
• Must include Go / Test / Reject recommendation
• Must include at least three risk or execution notes