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Multi-Category Feedback with Expanded Taxonomy
Classifying 8 diverse feedback items using a 5-category taxonomy (Bug, Feature Request, Praise, Complaint, Question). Shows variety of feedback types including positive sentiment and performance complaints with consistently high confidence scores.
Input
What you provide to the skill
Classify this feedback using Bug, Feature Request, Praise, Complaint, Question taxonomy:
“Login fails on mobile”, “Love the new dashboard!”, “Need Zapier integration”, “App is too slow”, “How do I export to PDF?”, “Support team is amazing”, “Crashes clicking Reports”, “Add SSO support”
Output
What the skill generates for you
| Feedback | Primary Tag | Primary Confidence | Secondary Tags | Secondary Confidence | Reasoning |
|---|---|---|---|---|---|
| Login fails on mobile | Bug | 95 | Explicit technical failure with specific action | ||
| Love the new dashboard! | Praise | 98 | Clear positive sentiment with enthusiasm | ||
| Need Zapier integration badly | Feature Request | 97 | Explicit integration request with urgency | ||
| App is way too slow lately | Complaint | 88 | Performance concern expressed with frustration | ||
| How do I export to PDF? | Question | 99 | Straightforward how-to question pattern | ||
| Your support team is amazing | Praise | 96 | Positive feedback about specific team | ||
| Crashes when I click Reports | Bug | 96 | Explicit crash behavior with reproducible action | ||
| Please add SSO support | Feature Request | 98 | Explicit feature request for specific capability |
Summary Statistics:
- Total items: 8
- Average confidence: 95.9%
- High confidence (>85%): 8 (100%)
- Medium confidence (70-85%): 0 (0%)
- Low confidence (<60%): 0 (0%)
Tag Distribution:
| Tag | Count | % |
|---|---|---|
| Feature Request | 2 | 25.0% |
| Praise | 2 | 25.0% |
| Bug | 2 | 25.0% |
| Question | 1 | 12.5% |
| Complaint | 1 | 12.5% |
About This Skill
Automatically tag and classify customer feedback from CSV files using semantic analysis with confidence scores and emerging theme detection.
View Skill DetailsMore Examples
Auto-Suggest Taxonomy from Diverse Feedback
Processing 10 feedback items without a predefined taxonomy. Demonstrates the skill's ability to analyze feedback patterns, suggest an appropriate 8-category taxonomy, apply multi-tag support for complex items, and generate co-occurrence analysis.
Support Ticket Classification with Predefined Taxonomy
Classifying 5 support feedback items using a simple Bug/Feature/Question taxonomy. Demonstrates high-confidence tagging with clear reasoning and distribution statistics for a small batch of typical support tickets.