product-demand-research

v2026.09.24

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.

GitHub
安装命令
npx skhub add scrapecreators/product-demand-research
Markdown
SKILL.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

# 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.
发现
标签

此技能尚未发布标签。

版本
最新版本元数据

版本

v2026.09.24

发布时间

2026年9月24日

分类

未分类

许可证

MIT

源路径

skills/product-demand-research

默认分支

main

最新提交

64ba7b4

Tree SHA

6d4803a