| 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
- Write the hypotheses and what evidence would support or weaken each one.
- Collect customer language from reviews, forums, search results, social posts, video transcripts, and comments. Use
scrapecreators-api, comment-mining, and transcript-intelligence where appropriate.
- 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.
- Map alternatives: direct competitors, substitutes, workarounds, and doing nothing. Record offers, pricing, proof, repeated complaints, and audience response.
- 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.
- Score each hypothesis by evidence strength, consistency across sources, recency, source diversity, and distance from an observable purchase decision.
- 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.
