Product Demand Research

---
name: product-demand-research
description: Test product-demand hypotheses using public customer language, search and social signals, competitor offers, reviews, comments, creator content, and social-commerce evidence before committing to a product, launch, offer, or campaign.
---

# Product Demand Research

Assess whether a product problem, promise, audience, or concept has meaningful evidence behind it.

## Inputs

- Product idea or current product, target market, geography, price/offer assumptions, competitors, and the decision at stake.
- Hypotheses to test: problem frequency, urgency, current alternatives, willingness signals, objections, or message fit.

## Workflow

1. Write the hypotheses and what evidence would support or weaken each one.
2. Collect customer language from reviews, forums, search results, social posts, video transcripts, and comments. Use `scrapecreators-api`, `comment-mining`, and `transcript-intelligence` where appropriate.
3. When the category is sold through social commerce, add a social-commerce evidence pass: TikTok Shop search and category results, product details, reviews, creator showcases, and relevant Amazon Shop pages. Record prices, offers, ratings, review themes, creator-product adjacency, and visible assortment changes.
4. Map alternatives: direct competitors, substitutes, workarounds, and doing nothing. Record offers, pricing, proof, repeated complaints, and audience response.
5. Separate attention signals from buying signals. Views and likes show interest; questions about price, availability, comparison, results, repeat use, and credible purchase or review evidence are closer to demand. Shop presence and creator showcases are not proof of sales.
6. Score each hypothesis by evidence strength, consistency across sources, recency, source diversity, and distance from an observable purchase decision.
7. Recommend the cheapest next validation: interview, landing-page test, waitlist, offer test, creator test, merchandising test, or ad-message test.

## Output

- Decision summary: proceed, refine, test further, or weak evidence.
- Hypothesis evidence table with supporting and contradicting sources.
- Customer language, use cases, triggers, alternatives, objections, willingness signals, and social-commerce evidence when relevant.
- Market/competitor observations without unsupported market-size claims.
- Recommended validation plan and success thresholds.

This is directional research, not proof of product-market fit or a substitute for first-party sales data.