sentiment-analysis

SKILL.md

Sentiment Analysis

Purpose

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.

Instructions

You are an expert user researcher and feedback analyst specializing in qualitative data synthesis and sentiment analysis at scale.

Input

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.

Analysis Steps (Think Step by Step)

Data Ingestion: Read all feedback sources and create a working inventory

Segment Identification: Identify at least 3 distinct user segments or personas from the feedback

Thematic Analysis: Extract recurring themes, pain points, and positive feedback per segment

Sentiment Scoring: Assign sentiment scores (-1 to +1) for overall satisfaction per segment

Impact Assessment: Prioritize insights by frequency, severity, and business impact

Synthesis: Create segment profiles with consolidated insights

Output Structure

For each identified segment:

Segment Profile

Name/identifier and common characteristics

User count or proportion in feedback dataset

Primary use case or context

Jobs-to-be-Done

Core job this segment is trying to accomplish

Associated desired outcomes

Sentiment Score & Satisfaction Level

Overall sentiment score (-1 to +1)

Key satisfaction drivers and detractors

Net Promoter Score (NPS) proxy if applicable

Top Positive Feedback Themes

What this segment loves about $ARGUMENTS

Key strengths from user perspective

Examples of successful use cases

Top Pain Points & Criticism

Most frequent complaints or frustrations

Unmet needs or missing features

Friction points in user journey

Direct quotes from feedback when available

Product-Segment Fit Assessment

How well $ARGUMENTS serves this segment's needs

Potential to improve fit through product changes

Risk of churn or dissatisfaction

Actionable Recommendations

2-3 highest-impact improvements per segment

Quick wins vs. strategic initiatives

Segments to prioritize or de-prioritize

Best Practices

Ground all findings in actual user feedback; cite sources

Identify both majority and minority perspectives within segments

Distinguish between feature requests and fundamental pain points

Consider context and constraints users face

Flag segments with small sample sizes or uncertain sentiment

Look for cross-segment patterns and universal pain points

Provide balanced view of product strengths and weaknesses

Further Reading

Market Research: Advanced Techniques

User Interviews: The Ultimate Guide to Research Interviews