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03 · Business · Customer Research

Customer Feedback and JTBD Analysis

Synthesize supplied feedback into evidence-backed themes, jobs to be done and improvement priorities.

customer-researchfeedbacksentimentjtbdkundenfeedback

Feedback Sentiment & JTBD Analysis · Original SKILL.md

---
name: sentiment-analysis
description: "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."
---

# 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)

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 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](https://www.productcompass.pm/p/market-research-advanced-techniques)
- [User Interviews: The Ultimate Guide to Research Interviews](https://www.productcompass.pm/p/interviewing-customers-the-ultimate)

When to use

Synthesize supplied feedback into evidence-backed themes, jobs to be done and improvement priorities.

What you get

Supported segment profiles, themes, illustrative sentiment coding and prioritized improvements.

How it works

Inventory feedback, group supported patterns, cite evidence and separate observations from interpretation.

Requirements

Authorized, preferably anonymized feedback with source identifiers and sample context.
Do not force three segments if evidence supports fewer. Sentiment scores are qualitative coding, not calibrated measurement. Do not calculate or label NPS without actual NPS survey responses. Do not infer sensitive personal traits.
Optional further reading is not bundled.

Starting prompt

Help me with customer feedback and jtbd analysis for [BUSINESS]. First ask for missing context: Authorized, preferably anonymized feedback with source identifiers and sample context. Do not force three segments if evidence supports fewer. Sentiment scores are qualitative coding, not calibrated measurement. Do not calculate or label NPS without actual NPS survey responses. Do not infer sensitive personal traits.

Not for

Individual profiling, clinical conclusions, representative population claims or invented NPS.

What M11 added

Task routing, explicit input requirements, evidence boundaries and source-preserving packaging. Do not force three segments if evidence supports fewer. Sentiment scores are qualitative coding, not calibrated measurement. Do not calculate or label NPS without actual NPS survey responses. Do not infer sensitive personal traits.

Original authorship remains with phuryn/pm-skills · Original source ↗

Original license & copyright

MIT License

Copyright (c) 2026 Pawel Huryn

Permission is hereby granted, free of charge, to any person obtaining a copy
of this software and associated documentation files (the "Software"), to deal
in the Software without restriction, including without limitation the rights
to use, copy, modify, merge, publish, distribute, sublicense, and/or sell
copies of the Software, and to permit persons to whom the Software is
furnished to do so, subject to the following conditions:

The above copyright notice and this permission notice shall be included in all
copies or substantial portions of the Software.

THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE
AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE
SOFTWARE.

Source SHA-256: 516357ba8366845d13c4ee17acf96884571ad0fc8d3d48a2809c5cb84c95a01c
Snapshot checked: 2026-09-27T20:00:00.000Z

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Customer Feedback and JTBD Analysis

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