Description
sentiment-analysis is an agent skill that analyzes user feedback at scale to identify market segments, measure satisfaction and uncover product improvement opportunities. It groups feedback by user segment, sentiment and impact, and it attaches sentiment scores and jobs-to-be-done insights to each segment, so the findings show what matters to whom. The skill works as an expert user researcher and feedback analyst, synthesizing large volumes of comments into a smaller set of actionable themes rather than a count of positive and negative words. You provide the feedback data, and the skill returns the segments, their sentiment, and where the product is falling short. It is useful when a team has thousands of reviews, survey responses or support comments and needs to know which problems are most widespread and which customers feel them most. The skill is part of the pm-skills collection by phuryn and is listed on skills.sh as free.…
Highlights
- Analyzes large volumes of user feedback
- Groups feedback by segment, sentiment and impact
- Sentiment scores with jobs-to-be-done insights
- Finds product improvement opportunities
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sentiment-analysis FAQ
What does sentiment-analysis produce?
Feedback grouped into segments with sentiment, jobs-to-be-done insights and satisfaction findings.
Does it just count positive and negative words?
No. The skill describes synthesizing feedback into actionable insights organized by segment, sentiment and impact.
What feedback can I provide?
Large sets of user feedback data, which the skill analyzes.
Who is it for?
Product teams and researchers with large volumes of user comments.
How do I install it?
Run npx skills add https://github.com/phuryn/pm-skills --skill sentiment-analysis in your terminal.
Is it free?
The listing shows the skill as free.
What are the best sentiment-analysis alternatives?
Popular alternatives to sentiment-analysis include customer-research, ideal-customer-profile and dev-team. See all sentiment-analysis alternatives