Social Listening: Sentiment & Theme Extraction at Scale
Extract sentiment and themes from hundreds of social posts to inform strategy
by carmahhawwariCustomer Service & SupportCustomer ExperienceVoice of Customer AnalystSocial ListeningWhat You Can Do
You can process hundreds or thousands of social media mentions at once to extract sentiment distribution, identify recurring themes and pain points, spot emerging market signals, and uncover competitive positioning insights. Claude surfaces patterns across unstructured conversation data that manual analysis would miss, transforming raw social feedback into structured, actionable intelligence for product strategy and crisis detection.
Features
automatically categorize mentions as positive, negative, or neutral across bulk datasets
identify recurring topics, pain points, feature requests, and emotional drivers from unstructured text
detect how customers position your brand against competitors and what drives preference shifts
surface early warning signs of product issues, market trends, and unmet customer needs before they escalate
map sentiment and themes to specific customer segments, use cases, and buyer profiles
identify which themes are accelerating or declining over time to prioritize response efforts
generate structured findings that connect customer feedback directly to product roadmap and marketing decisions
Example Output
Input: 150 Twitter mentions about your mobile app from the past month
Output 1 — Sentiment Summary:
- Positive: 58% (n=87) — primarily praise for new offline mode
- Neutral: 24% (n=36) — feature questions and technical discussions
- Negative: 18% (n=27) — battery drain complaints, sync failures
- Confidence: 89% across dataset
Output 2 — Top Emerging Themes:
- Battery optimization (neg, 12 mentions, trending +40% vs. last month)
- Offline functionality (pos, 18 mentions, new feature driving engagement)
- iPad version request (neutral, 14 mentions, growing from 2 mentions last month)
- Integration with Slack (pos/neutral, 8 mentions, competitive positioning)
Output 3 — Competitive Insights:
- 31% of negative sentiment mentions competitor apps alongside your product
- Customers cite your app's UI as advantage vs. Notion but request better mobile sync like Monday.com
Output 4 — Actionable Segments:
- Power users (18% of sample): focused on offline performance and integrations
- Mobile-first users (35%): rely heavily on app, want parity with desktop feature set
What's Included
- SKILL.md: complete system prompt and analysis framework for Claude
- Social data template: standardized CSV/JSON format for importing mentions with metadata (platform, date, author segment)
- Analysis prompt templates: copy-paste prompts for sentiment extraction, theme clustering, competitive analysis, and segment mapping
- Insight synthesis framework: structured format for presenting findings to stakeholders with confidence scores and actionable recommendations
- Monitoring checklist: quarterly voice-of-customer workflow to maintain ongoing social listening cadence
Who It's For
- Voice of Customer Analysts — conducting systematic social listening and building monthly/quarterly VoC reports
- Product Managers — using customer feedback to validate roadmap priorities and detect emerging market needs
- Customer Experience Leads — identifying friction points and sentiment drivers to improve NPS and retention
- Marketing Leaders — understanding competitive positioning and messaging gaps from customer language
- Crisis Management Teams — rapidly analyzing social sentiment during product issues, incidents, or PR situations
Best For
- Bulk social media sentiment analysis across 200+ mentions from Twitter, Reddit, review sites, or community forums
- Theme discovery and pattern identification when exploring customer feedback before hypothesis testing
- Product launch monitoring and post-launch insight synthesis to validate market reception
- Competitive intelligence gathering from customer comparisons and positioning language
- Crisis detection and rapid triage of emerging issues across social conversations
- Quarterly voice-of-customer reporting and stakeholder briefings with evidence-based findings
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