1. Why Use GPT-3 for Feedback Analysis?
GPT-3 can:
- Quickly process large volumes of open-ended responses
- Identify recurring themes or concerns
- Recognize sentiment (positive, neutral, negative)
- Suggest new survey questions tailored to real user experiences
This leads to smarter, more responsive feedback tools that adapt based on actual data rather than assumptions.
2. Step-by-Step Process
Step 1: Collect and Organize Past Feedback
- Gather all responses from previous SayPro Education events (April or earlier)
- Especially focus on open-ended questions and comment sections where attendees provide insights in their own words
Step 2: Input Data into GPT-3 Prompts
Use GPT-3 with prompts like:
“Analyze this feedback and list the main topics participants are discussing.”
Example output:
- Poor audio quality in virtual workshops
- Excellent presentation style of certain speakers
- Lack of Q&A time
- Difficulty accessing event materials
Step 3: Extract Themes and Sentiment
GPT-3 identifies the most common topics and determines the general sentiment (positive/negative/mixed).
Example breakdown:
- Virtual platforms – 65% negative (tech issues, login problems)
- Workshops – 80% positive (interactive, well-paced)
- Presentations – mixed (some engaging, others too long)
Step 4: Generate Follow-Up Questions
Based on extracted themes, GPT-3 generates follow-up survey items like:
- “How easy was it to access the virtual event platform?”
- “Were the presenters engaging and easy to understand?”
- “Would you prefer more Q&A time in future workshops?”
- “Rate your satisfaction with the event schedule and timing.”
These questions are specific, relevant, and targeted, increasing the quality of responses.
3. Benefits of This Approach
- Efficiency: Quickly analyze large datasets that would take human reviewers hours or days.
- Accuracy: Focus on what people are actually saying, not what organizers think they’re saying.
- Adaptability: Dynamically improve future feedback forms based on real-time trends.
- Data-Driven Improvement: Helps SayPro make specific, actionable improvements based on actual participant experiences.
4. Tools You Can Use
- OpenAI GPT-3 or GPT-4 via API
- Google Sheets + GPT plugin or tools like Zapier + OpenAI
- Custom feedback platforms integrated with GPT (for automated workflows)
5. Next Steps
- Compile historical feedback (especially text-based responses).
- Use GPT-3 to extract insights and generate new questions.
- Integrate these questions into the next round of SayPro surveys.
- Monitor how the new questions perform in gathering targeted feedback.
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