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产品需求调研

当用户想要验证产品创意、发现痛点、挖掘需求信号、识别反对意见或从 Reddit、社交媒体帖子、视频脚本和评论中收集客户心声时使用。生成有据可查的产品研究。

产品需求调研 是什么?

产品需求调研(Product Demand Research)是一项专为创始人和产品营销人员设计的 AI 技能,旨在通过分析 Reddit、TikTok、YouTube 等公开社交数据,判断用户是否在某个产品类别中真正抱怨、询问、购买、自行变通或推荐解决方案。该技能通过将创意转化为搜索词与同义词,从相关平台提取评论、脚本和帖子,然后聚类痛点、触发因素、替代方案和期望结果。它会根据频率、强度、时效性和付费意愿线索对需求进行评分,最终输出包含需求信号强度、痛点证据、现有替代方案、反对意见、消息传达角度和产品测试想法的详细报告。该技能支持主流 AI 代理平台(如 Claude Code、Cursor、Codex),其工作流程包括搜索挖掘、数据聚类、评分和报告生成,但需注意避免从少量评论中过早断言市场验证,或忽略负面证据与现有替代方案。

兼容平台~Claude Code~Codex CLI~Cursor
npx skills add https://github.com/ScrapeCreators/social-media-research-skills/tree/main/skills/product-demand-research

在你喜欢的 AI 中提问

打开一个已预加载此 Agent Skill 的新对话。

文档

产品需求调研 是做什么的?

概述

利用公开社交数据来了解人们是否真的在一个产品类别中抱怨、询问、购买、自行变通或推荐解决方案。输出结果应帮助创始人和营销人员决定要构建、定位或测试什么。

何时使用

当用户要求以下内容时使用此技能:

  • 验证创业或产品创意
  • 发现某个细分领域的痛点
  • 从 Reddit/TikTok/YouTube 评论中挖掘产品创意
  • 寻找买家语言和反对意见
  • 了解人们今天使用的替代方案
  • 根据需求证据创建消息传达

要提取的信号

  • 反复出现的抱怨
  • “我希望”/“有没有一种工具”/“我该如何”等短语
  • 变通方法以及电子表格/手动流程
  • 对比和替代方案提及
  • 购买意图
  • 对现有解决方案的反对意见
  • 人们用来描述问题的确切措辞

工作流程

  1. 将创意转化为搜索词和同义词。
  2. 搜索 Reddit 及相关社交平台。
  3. 针对有希望的帖子/视频提取评论/脚本。
  4. 对痛点、触发因素、替代方案和期望结果进行聚类。
  5. 根据频率、强度、时效性和付费意愿线索对需求进行评分。
  6. 生成消息传达和产品启示。

输出格式

# 产品需求调研:{创意/类别}

## 结论
- 需求信号:强/中/弱
- 置信度:高/中/低
- 原因:

## 痛点
| 痛点 | 证据 | 确切语言 | 来源 |
|---|---|---|---|

## 现有替代方案/变通方法
- ...

## 反对意见和障碍
- ...

## 消息传达角度
- "..."

## 产品创意/测试
1. ...
2. ...

常见陷阱

  • 不要仅凭少量评论就声称市场验证。
  • 不要忽视负面证据或现有替代方案。
  • 不要用转述取代最佳客户语言。

Individual skills in this repo

This repo contains 12 individual skills — each has its own dedicated page.

ad-library-teardown

Use when the user wants to analyze active ads from Meta/Facebook, Google, or LinkedIn ad libraries; tear down a competitor

audience-research

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.

comment-mining

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.

competitor-social-research

Use when the user wants to research competitors

content-repurposing

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.

creator-profile-teardown

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.

influencer-prospecting

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.

outlier-post-finder

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.

scrapecreators-api

>-

social-listening-brief

Use when the user wants a social listening report about what people are saying about a brand, person, product, topic, category, or niche across public social platforms. Produces cited themes, sentiment caveats, notable posts, and recommended actions.

transcript-intelligence

Use when the user wants to summarize, analyze, or repurpose transcripts from TikTok, Instagram, YouTube, Facebook, X/Twitter, LinkedIn, Rumble, or Reddit video posts. Extracts hooks, claims, quotes, content atoms, themes, and reusable scripts.

trend-discovery

Use when the user wants to discover trending social topics, hashtags, sounds, posts, reels, shorts, creators, or formats in a niche. Searches public trend and discovery endpoints, ranks evidence, and turns trends into practical content angles.

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