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SayPro Weekly Sentiment Analysis Report Template

Department: [Insert Department e.g., Research, eLearning, Community Development, etc.]
Reporting Period: [Start Date] – [End Date]
Prepared by: [Name]
Date Submitted: [Date]
1. Executive Summary
- Overall Sentiment Trend: ⬆️/⬇️/➡️
- Dominant Emotion(s): [e.g., Trust, Joy, Concern]
- Total Feedback Entries Analyzed: [Number]
- Platform Coverage: [e.g., Website, WhatsApp, Facebook, Surveys]
2. Sentiment Breakdown by Percentage
Sentiment Category | % This Week | % Last Week | Change (Δ) |
---|---|---|---|
Positive | XX% | XX% | +X%/-X% |
Neutral | XX% | XX% | +X%/-X% |
Negative | XX% | XX% | +X%/-X% |
3. Emotion Tagging Summary
Emotion | Frequency | % of Total Feedback |
---|---|---|
Joy | ||
Trust | ||
Sadness | ||
Anger | ||
Fear | ||
Surprise |
4. Sentiment by SayPro Service Line
Service Line | Positive | Neutral | Negative | Notes |
---|---|---|---|---|
eLearning | XX% | XX% | XX% | [Brief insights] |
Community Development | XX% | XX% | XX% | [Brief insights] |
Research | XX% | XX% | XX% | [Brief insights] |
Career Services | XX% | XX% | XX% | [Brief insights] |
5. Key Themes Identified (Top 5)
- [Theme 1: e.g., “Ease of access to online learning”]
- [Theme 2: e.g., “Delays in service response”]
- [Theme 3: e.g., “Positive staff interactions”]
- [Theme 4]
- [Theme 5]
6. Sample Feedback Quotes
“SayPro helped me find a job faster than expected. Thank you!” (Positive – Joy)
“I had trouble signing up for courses. No one replied to my email.” (Negative – Frustration)
7. Recommendations
[Recommendation 3: e.g., Address negative feedback on platform bugs]
[Recommendation 1: e.g., Improve onboarding response time]
[Recommendation 2: e.g., Highlight positive stories on social media]
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