Process viewer comments and feedback to improve content
Scanned 2/12/2026
Install via CLI
openskills install majiayu000/claude-skill-registry---
name: Feedback Integration
tier: 4
load_policy: conditional
description: Process viewer comments and feedback to improve content
version: 1.0.0
parent_skill: growth-learning
---
# Feedback Integration Skill
> **Listening to Our Listeners**
This skill processes viewer comments and direct feedback to understand impact and improve future sessions.
---
## Purpose
Extract qualitative insights from viewer feedback and integrate into the knowledge base.
---
## Command
```bash
/learn-comments session-name
```
---
## Input Sources
| Source | Type | Value |
|--------|------|-------|
| YouTube Comments | Public | Unfiltered reactions |
| Email Feedback | Private | Detailed testimonials |
| Social Mentions | Public | Organic shares |
| Direct Messages | Private | Personal experiences |
---
## Comment Analysis Process
### 1. Collection
Gather comments from YouTube Studio or API:
```yaml
comments:
- author: "Seeker123"
text: "This helped me sleep for the first time in weeks..."
likes: 42
timestamp: "2025-01-10T14:32:00Z"
- author: "MeditatorPro"
text: "The Eden imagery was so vivid, I felt like I was there"
likes: 28
timestamp: "2025-01-11T09:15:00Z"
```
### 2. Categorization
Classify each comment:
| Category | Indicators |
|----------|------------|
| **Impact** | "helped me", "changed my", "finally" |
| **Experience** | "felt like", "saw", "experienced" |
| **Technical** | "audio", "sound", "voice", "quality" |
| **Request** | "could you", "please make", "I wish" |
| **Question** | "how do I", "what is", "when should" |
| **Criticism** | "didn't like", "too long", "confusing" |
### 3. Sentiment Analysis
Score overall sentiment:
| Sentiment | Score Range | Meaning |
|-----------|-------------|---------|
| Very Positive | 0.8-1.0 | Strong resonance |
| Positive | 0.5-0.8 | Good reception |
| Neutral | 0.3-0.5 | Mixed signals |
| Negative | 0.0-0.3 | Issues to address |
### 4. Theme Extraction
Identify recurring themes:
```yaml
themes:
- theme: "sleep_improvement"
frequency: 12
sentiment: 0.9
sample_quotes:
- "Finally slept through the night"
- "Best sleep aid I've found"
- theme: "vivid_imagery"
frequency: 8
sentiment: 0.85
sample_quotes:
- "The garden felt so real"
- "I could actually see the light"
```
### 5. Insight Generation
Convert themes to actionable insights:
```yaml
insight:
finding: "Eden garden imagery creates exceptionally vivid experiences"
evidence: "8 comments specifically mentioned vivid imagery in Eden session"
action: "Use garden/nature settings for healing sessions"
confidence: medium
source: "comments"
```
---
## Feedback Categories
### Impact Testimonials
Most valuable for understanding effectiveness:
> "I've struggled with anxiety for years, and this session gave me the first deep relaxation I've felt in months."
**Extract**:
- Outcome achieved: anxiety relief
- Session type: healing
- Impact level: significant
- Time element: long-term struggle resolved
### Experience Reports
Valuable for refining content:
> "When you described the waterfall, I could actually feel the cool mist on my skin."
**Extract**:
- Effective element: waterfall imagery
- Sensory channel: kinesthetic (touch)
- Immersion level: high
### Technical Feedback
Valuable for production quality:
> "The voice was perfect but the binaural felt a bit too loud in my right ear."
**Extract**:
- Voice quality: positive
- Binaural mixing: needs review
- Specific issue: channel balance
### Requests
Valuable for content planning:
> "I'd love a session focused on confidence before presentations."
**Extract**:
- Requested outcome: confidence
- Context: professional/presentations
- Priority: add to topic queue
---
## Negative Feedback Handling
### Constructive Criticism
Address in future sessions:
| Criticism | Response |
|-----------|----------|
| "Too slow at the start" | Review induction pacing |
| "Voice felt monotonous" | Add prosody variation |
| "Couldn't visualize" | Enhance sensory descriptions |
| "Ending was abrupt" | Extend emergence section |
### Non-Constructive
Note but don't over-weight:
| Comment | Response |
|---------|----------|
| "This is fake" | Acknowledge different expectations |
| "Hypnosis is dangerous" | Note misconception, don't change approach |
| Spam/trolling | Ignore |
---
## Knowledge Base Updates
Store insights in `knowledge/lessons_learned.yaml`:
```yaml
- id: "FEEDBACK-2025-001"
category: "feedback"
finding: "Kinesthetic imagery (touch sensations) increases immersion"
evidence: "Multiple comments mention feeling physical sensations"
action: "Include tactile descriptions in every visualization"
confidence: medium
source: "viewer_comments"
sessions_referenced:
- "eden-garden-pathworking"
- "healing-waterfall-journey"
date_discovered: "2025-01-15"
```
---
## Feedback Loop Timing
| Period | Action |
|--------|--------|
| 24-48 hours | Initial comment surge |
| 7 days | First round analysis |
| 30 days | Comprehensive review |
| 90 days | Long-term impact assessment |
---
## Output
After analysis:
1. **Feedback Summary**: Categorized comments with sentiment
2. **Theme Report**: Recurring patterns with evidence
3. **Insight Updates**: New entries for knowledge base
4. **Action Items**: Specific improvements for next sessions
5. **Request Queue**: Topics requested by viewers
---
## Integration with Analytics
Combine feedback with metrics for complete picture:
| Metric Says | Feedback Says | Conclusion |
|-------------|---------------|------------|
| High retention | "Loved every minute" | True success |
| Low retention | "Got distracted" | Content issue |
| High retention | "Fell asleep" | Works for sleep (intended?) |
| Low likes | "Too different for me" | Niche content, not failure |
---
## Related Resources
- **Skill**: `tier4-growth/analytics-learning/` (quantitative)
- **Knowledge**: `knowledge/lessons_learned.yaml`
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