About Prompt
- Prompt Type – Dynamic
- Prompt Platform – ChatGPT
- Niche – Data Processing
- Language – English
- Category – Viewer Analytics
- Prompt Title – ChatGPT Prompt for Analyzing Audience Feedback on Video Content
Prompt Details
This prompt is designed for ChatGPT to analyze viewer feedback on video content related to the data processing niche. It allows for flexible input of viewer comments and video metadata, enabling in-depth analysis for viewer analytics purposes.
**Prompt Template:**
“`
Analyze the following viewer feedback for a video about [Video Topic] within the data processing niche, focusing on viewer analytics insights.
**Video Metadata:**
* **Video Title:** [Video Title]
* **Video Description:** [Video Description]
* **Target Audience:** [Target Audience, e.g., Data Scientists, Data Engineers, Business Analysts]
* **Video Length:** [Video Length]
* **Key Concepts Covered:** [List key concepts covered in the video, e.g., Data Cleaning, ETL, Data Visualization]
* **Call to Action:** [Specify the call to action in the video, e.g., Subscribe, visit website, download resources]
**Viewer Feedback:**
[Paste a collection of viewer comments here. Include a diverse range of comments, both positive and negative. Separate each comment with a newline character. Ideally, include around 10-20 comments, but the prompt can handle more.]
**Analysis Objectives:**
Perform the following analysis on the provided viewer feedback:
1. **Sentiment Analysis:** Determine the overall sentiment (positive, negative, neutral) expressed in the comments. Provide a breakdown of the percentage of comments falling into each category.
2. **Topic Extraction:** Identify the recurring themes and topics discussed in the comments. Categorize these topics and rank them by frequency. Specifically look for mentions of:
* Clarity and understandability of the content
* Relevance of the content to the target audience
* Accuracy and completeness of information
* Usefulness and practical applicability of the information
* Production quality (audio, video, editing)
* Suggestions for future video topics
* Specific questions about the content
3. **Engagement Analysis:** Assess the level of viewer engagement. Look for indicators such as:
* Questions asked
* Suggestions given
* Expressions of interest or excitement
* Sharing of personal experiences
* Agreement or disagreement with presented ideas
4. **Actionable Insights:** Based on the analysis, provide actionable recommendations for improving future video content in the data processing niche. These recommendations should be specific and address identified issues or opportunities. Consider the following areas for improvement:
* Content clarity and delivery
* Topic selection and relevance
* Production quality
* Audience engagement strategies
5. **Call to Action Effectiveness:** Analyze how viewers responded to the call to action. Did the comments indicate interest in taking the desired action? Suggest improvements to the call to action strategy.
**Output Format:**
Present the analysis in a clear and organized format, using headings and bullet points where appropriate. Use quantitative data (e.g., percentages) whenever possible to support your analysis. Prioritize actionable insights and recommendations.
**Example Viewer Feedback (replace with actual feedback):**
* “Great video! I finally understand how to implement ETL pipelines using Python.”
* “The audio quality was poor, making it difficult to follow.”
* “Could you cover data warehousing in a future video?”
* “I disagree with your assessment of the impact of cloud computing on data processing.”
* “This was super helpful for my current project. Thanks!”
“`
**How to Use this Prompt:**
1. **Replace the bracketed placeholders** with the relevant information for your video.
2. **Paste the viewer comments** collected from various sources (YouTube, social media, etc.) into the designated section. Ensure comments are separated by newlines.
3. **Adjust the “Analysis Objectives”** if you have specific areas of focus.
4. **Run the prompt** in ChatGPT.
This dynamic prompt provides a robust framework for analyzing viewer feedback. By providing context through video metadata and focusing on specific analysis objectives, you can gain valuable insights for optimizing your video content strategy and better engaging your target audience within the data processing niche. The more specific and comprehensive the input, the more valuable and actionable the output from ChatGPT will be.