product-demand-research
Use when the user wants to validate a product idea, find pain points, mine demand signals, discover objections, or gather voice-of-customer language from Reddit, social posts, video transcripts, and comments. Produces evidence-backed product research.
git clone --depth 1 https://github.com/ScrapeCreators/social-media-research-skills /tmp/product-demand-research && cp -r /tmp/product-demand-research/skills/product-demand-research ~/.claude/skills/product-demand-researchSKILL.md
# Product Demand Research
## Overview
Use public social data to understand whether people actually complain about, ask for, buy, hack around, or recommend solutions in a product category. The output should help founders and marketers decide what to build, position, or test.
## When to Use
Use this skill when the user asks to:
- validate a startup or product idea
- find pain points in a niche
- mine Reddit/TikTok/YouTube comments for product ideas
- find buyer language and objections
- understand alternatives people use today
- create messaging from demand evidence
## Signals to Extract
- repeated complaints
- "I wish" / "is there a tool" / "how do I" phrases
- workarounds and spreadsheets/manual processes
- comparison and alternative mentions
- buying intent
- objections to existing solutions
- exact words people use for the problem
## Workflow
1. Turn the idea into search queries and synonyms.
2. Search Reddit and relevant social platforms.
3. Pull comments/transcripts for promising posts/videos.
4. Cluster pains, triggers, alternatives, and desired outcomes.
5. Score demand by frequency, intensity, recency, and willingness-to-pay hints.
6. Produce messaging and product implications.
## Output Format
```markdown
# Product Demand Research: {idea/category}
## Verdict
- Demand signal: Strong/Medium/Weak
- Confidence: High/Medium/Low
- Why:
## Pain Points
| Pain | Evidence | Exact language | Source |
|---|---|---|---|
## Existing Alternatives / Workarounds
- ...
## Objections and Barriers
- ...
## Messaging Angles
- "..."
## Product Ideas / Tests
1. ...
2. ...
```
## Common Pitfalls
- Do not claim market validation from a handful of comments.
- Do not ignore negative evidence or existing alternatives.
- Do not paraphrase away the best customer language.Use when the user wants to analyze active ads from Meta/Facebook, Google, or LinkedIn ad libraries; tear down a competitor's messaging; extract hooks, offers, CTAs, video transcripts, landing page claims, and test ideas from public ads.
Use when the user wants to evaluate a creator, influencer, or brand audience using public profile signals, TikTok audience demographics, follower/following data, comments, geography, language, and content fit. Helps judge sponsorship and market fit.
Use when the user wants to mine comments and replies for audience reactions, customer language, questions, objections, complaints, product ideas, buying intent, sentiment, or voice-of-customer insights from public social posts and videos.
Use when the user wants to research competitors' social media strategy, compare brands or creators, find what content is working in a niche, identify content gaps, or produce a practical social strategy brief from public social data.
Use when the user wants to turn public social videos, transcripts, posts, or creator research into reusable content assets such as LinkedIn posts, X threads, short-form scripts, newsletters, blog outlines, carousels, or content calendars.
Use when the user wants to analyze a creator, influencer, founder, or brand social account and understand positioning, content pillars, outlier posts, hooks, format choices, audience reaction, and what can be copied or tested.
Use when the user wants to find creators, influencers, affiliates, or social accounts in a niche for outreach, partnerships, sponsorships, UGC, seeding, or competitive research. Produces scored prospect lists from public social data.
Use when the user wants to find posts, videos, reels, shorts, tweets, or social content that overperformed versus a creator, brand, or competitor baseline. Finds outliers, explains why they worked, extracts hooks and formats, and produces a practical swipe file.