Purpose for SayPro
- Understand how users perceive the SayPro platform, courses, features, pricing, and support
- Identify positive and negative sentiment drivers
- Pinpoint actionable insights for product, marketing, and customer experience teams
🧩 Step-by-Step Framework
1. ✅ Define Your Objectives
Focus on key questions like:
- What do users like/dislike about SayPro?
- What attributes (features, UX, support) are most valued or criticized?
- What are the emotional drivers behind user behavior?
2. 📥 Collect Data from Multiple Sources
| Source | Data Type | Purpose |
|---|---|---|
| Surveys (NPS, CSAT) | Structured text & ratings | Quantitative + qualitative feedback |
| User Reviews (app store, Trustpilot, etc.) | Unstructured text | Authentic public sentiment |
| Social Media Mentions | Unstructured | Real-time opinions |
| Support Tickets/Chats | Unstructured + structured | Identify pain points |
| In-app Feedback | Short-form text | Contextual insights |
3. 🧠 Apply Sentiment Analysis (NLP)
Use AI models to analyze user-generated content and assign sentiment scores:
| Sentiment | Example |
|---|---|
| Positive | “SayPro really helped me pass my certification exam!” |
| Neutral | “I signed up last week, still exploring the content.” |
| Negative | “The course content is outdated and hard to follow.” |
Tools you can use:
- OpenAI API (for custom analysis)
- MonkeyLearn, Lexalytics, or AWS Comprehend
- Custom Python scripts using
NLTK,spaCy, orTextBlob
4. 🏷️ Conduct Attribute Analysis
Tag sentiment to specific product attributes. You can define key categories like:
- Course quality
- Platform usability
- Certification usefulness
- Pricing/value
- Customer support
- Mobile experience
Then break down sentiment per attribute:
| Attribute | % Positive | % Neutral | % Negative | Key Themes |
|---|---|---|---|---|
| Course Quality | 68% | 20% | 12% | “Helpful,” “Clear examples,” “Needs update” |
| Support Services | 45% | 25% | 30% | “Slow replies,” “Very helpful agent” |
| Mobile App | 33% | 40% | 27% | “Buggy,” “Easy to use on the go” |
5. 📊 Visualize & Report Findings
Build dashboards or reports for internal stakeholders. Include:
- Overall sentiment trends (monthly/quarterly)
- Attribute-level breakdowns
- Word clouds or key phrase extraction
- Specific quotes from users
- Recommendations
Tools: Power BI, Google Data Studio, Tableau, Notion, or Excel.
6. 🔁 Use Insights to Drive Action
Align with departments:
| Team | Action Based on Insight |
|---|---|
| Product | Improve underperforming features, update content |
| Support | Retrain agents, reduce ticket resolution time |
| Marketing | Use positive sentiment in testimonials |
| Sales/Partnerships | Present sentiment trends as proof of impact |
🛠️ Need Help With Any of These?
SayPro can ask for:
- A sentiment analysis prompt template (for GPT-based review analysis)
- A dashboard layout for internal use
- A script or tool for tagging reviews by attribute
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