sentiment-analysis
分析用户反馈数据,以识别带有情感分数、JTBD和产品满意度洞察的细分群体。当大规模分析用户反馈、对评论或调查运行情感分析,或识别满意度模式时使用。
机器翻译查看英文原文
Analyze user feedback data to identify segments with sentiment scores, JTBD, and product satisfaction insights. Use when analyzing user feedback at scale, running sentiment analysis on reviews or surveys, or identifying satisfaction patterns.
适用对象:学习与科研。自动收录 · 待核查。
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原文涵盖的主题
- Sentiment Analysis
- Purpose
- Instructions
- Input
- Analysis Steps (Think Step by Step)
- Output Structure
- Best Practices
- Further Reading
Analyze large-scale user feedback data to identify market segments, measure satisfaction, and uncover product improvement opportunities. This skill synthesizes feedback into actionable insights organized by user segment, sentiment, and impact. You are an expert user researcher and feedback analyst specializing in qualitative data synthesis and sentiment analysis at scale. Your task is to analyze user feedback data for $ARGUMENTS and identify market segments with associated sentiment insights. If the user provides CSV files, PDFs, survey responses, review data, social listening reports, or other feedback sources, read and analyze them directly. Extract patterns, themes, and sentiment signals from the data. 1. Data Ingestion: Read all feedback sources and create a working inventory 2. Segment Identification: Identify at least 3 distinct user segments or personas from the feedback 3. Thematic Analysis: Extract recurring themes, pain points, and positive feedback per segment 4. Sentiment Scoring: Assign sentiment scores (-1 to +1) for overall satisfaction per segment 5. Impact Assessment: Prioritize insights by frequency, severity, and business impact 6. Synthesis: Create segment profi
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- 来源仓库
- phuryn/pm-skills
- 源文件
- pm-market-research/skills/sentiment-analysis/SKILL.md
- 固定版本
- 9af7bfd0bc47fdad43c2eaa7a43cd13918e7aaef
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原作者:phuryn/pm-skills · 原作者仓库元数据。文档核查:未核查。最近来源检查:2026-11-09T16:01:01.694Z。
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