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social-listening-brief

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Original

English
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Translation

Chinese

Social Listening Brief

社交聆听简报

Overview

概述

Research what people are saying publicly across social platforms. This is useful for brand monitoring, category research, product feedback, reputation checks, and understanding recent conversations.
调研公开社交平台上用户的讨论内容。这适用于品牌监控、品类调研、产品反馈、声誉核查以及了解近期相关对话。

When to Use

适用场景

Use this skill when the user asks:
  • what are people saying about X?
  • monitor this brand/topic/category
  • find complaints or praise about a product
  • summarize recent social discussion
  • compare sentiment across Reddit, TikTok, YouTube, LinkedIn, Instagram, or Threads
当用户提出以下需求时使用本技能：
  • 大家对X的评价如何？
  • 监控该品牌/话题/品类
  • 查找对某产品的投诉或好评
  • 总结近期社交媒体讨论内容
  • 对比Reddit、TikTok、YouTube、LinkedIn、Instagram或Threads平台上的情绪倾向

Useful Sources

有用数据源

  • Reddit search, subreddit search, posts, comments
  • TikTok search top/keyword/hashtag and comments
  • YouTube search, transcripts, comments
  • Instagram reels search and hashtag search
  • LinkedIn post search
  • Threads search
  • Google search when platform search is not enough
  • Reddit搜索、子版块搜索、帖子、评论
  • TikTok热门/关键词/话题标签搜索及评论
  • YouTube搜索、视频转录文本、评论
  • Instagram Reels搜索及话题标签搜索
  • LinkedIn帖子搜索
  • Threads搜索
  • 当平台搜索无法满足需求时使用谷歌搜索

Workflow

工作流程

  1. Define topic, aliases, competitor names, and date window.
  2. Search multiple relevant sources, not every source blindly.
  3. Keep URLs, dates, platform, engagement metrics, and exact quotes.
  4. Cluster conversations into themes.
  5. Separate positive, negative, neutral, and mixed signals.
  6. Highlight representative examples and action items.
  1. 明确主题、别名、竞品名称以及时间范围。
  2. 搜索多个相关数据源，而非盲目覆盖所有平台。
  3. 保留URL、日期、平台、互动数据以及精确引用内容。
  4. 将对话内容归类为不同主题。
  5. 区分正面、负面、中性及混合情绪信号。
  6. 突出代表性案例及行动项。

Output Format

输出格式

markdown
undefined
markdown
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Social Listening Brief: {topic}

社交聆听简报: {topic}

Executive Summary

执行摘要

  • Main takeaway:
  • Conversation volume: Low/Medium/High
  • Sentiment: Positive/Neutral/Negative/Mixed
  • Confidence: High/Medium/Low
  • 核心结论:
  • 讨论量: 低/中/高
  • 情绪倾向: 正面/中性/负面/混合
  • 可信度: 高/中/低

Top Themes

核心主题

ThemeSentimentEvidenceRepresentative quote/source
主题情绪倾向证据代表性引用/来源

Notable Posts

值得关注的帖子

  • source — why it matters
  • 来源 — 重要性说明

Risks / Opportunities

风险/机遇

  • ...
  • ...

Recommended Actions

建议行动

  1. ...
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  1. ...
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Common Pitfalls

常见误区

  • Do not pretend this is exhaustive social monitoring. It is public-data research.
  • Do not average sentiment across very different communities without caveats.
  • Do not use engagement as a proxy for truth.
  • 不要声称这是全面的社交监控，这只是基于公开数据的调研。
  • 若未附加说明，不要对差异较大的社群的情绪倾向取平均值。
  • 不要将互动量作为事实依据。