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Video Feedback Analysis Template

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Written by

Livhuwani Mawelewele

in

Written by

Livhuwani Mawelewele

in

SayPro Templates to Use: Video Feedback Analysis Template

Objective:
The Video Feedback Analysis Template is designed to help organizations systematically collect, categorize, and analyze audience feedback on video content. This template provides a structured approach to organizing comments, ratings, and suggestions in order to gain actionable insights for improving future video content.

Video Feedback Analysis Template Structure:

1. Report Header

  • Title of the Report:
    • Example: “Video Feedback Analysis Report – [Video Title]”
  • Date:
    • The date the analysis is being conducted or the date range of the video content being reviewed.
  • Prepared By:
    • Name(s) of the person/team responsible for analyzing the feedback.
  • Video(s) Analyzed:
    • A list of the video titles or links being analyzed.

2. Video Overview

  • Video Title(s):
    • The title of the video(s) for which feedback is being analyzed.
  • Video Release Date(s):
    • The date(s) the video was published.
  • Video Length:
    • The length of the video(s) being analyzed.
  • Platform(s) Used:
    • Indicate where the video was published (e.g., YouTube, Vimeo, Facebook, Instagram, etc.).
  • Purpose of the Video:
    • A brief description of the video’s objective or goal (e.g., “Educational tutorial on using [Product]” or “Brand promotional video”).

3. Audience Engagement Metrics

  • Total Views:
    • The total number of views the video received.
  • Likes and Dislikes:
    • Number of likes and dislikes the video received on the platform(s).
  • Comments Count:
    • The number of comments posted by the audience.
  • Shares:
    • The number of times the video has been shared across social media or other platforms.
  • Engagement Rate:
    • The percentage of viewers who liked, commented, or shared the video compared to total views.
    • Example Calculation:
      • Engagement Rate = (Likes + Comments + Shares) ÷ Total Views × 100
  • Watch Time (Average):
    • The average amount of time viewers spent watching the video.
  • Audience Retention:
    • The percentage of the video watched on average. If available, include retention graphs showing how the video was consumed over time.

4. Categorizing Audience Feedback

Purpose:
This section focuses on categorizing the comments, ratings, and suggestions based on recurring themes, feedback sentiment, and specific video attributes.

  • Rating Analysis:
    • If the video platform allows for rating (like a 5-star or thumbs up/thumbs down system), categorize the ratings into:
      • Positive Ratings:
        • Comments and feedback associated with high ratings.
        • Example: “Great video! Very informative and easy to understand.”
      • Negative Ratings:
        • Comments and feedback associated with low ratings.
        • Example: “The video was too long and lacked depth.”
      • Neutral Ratings:
        • Comments that indicate average satisfaction or mixed reviews.
        • Example: “The video was okay, but could have used more examples.”

Categories for Feedback:

  1. Content Quality:
    • Positive Feedback:
      • Summarize comments praising the content, such as helpfulness, relevance, or clarity.
      • Example: “The tutorial was clear and easy to follow.”
    • Negative Feedback:
      • Summarize comments criticizing the content, such as confusing explanations, missing information, or lack of depth.
      • Example: “I didn’t understand the explanation about [topic].”
  2. Video Production Quality:
    • Positive Feedback:
      • Comments praising the video’s production, such as visual quality, audio clarity, editing, and overall professionalism.
      • Example: “The video quality was excellent, and the sound was clear.”
    • Negative Feedback:
      • Comments critiquing video production aspects such as poor video resolution, bad lighting, or distracting background noise.
      • Example: “The video was blurry and hard to hear.”
  3. Engagement and Delivery:
    • Positive Feedback:
      • Comments that mention the presenter’s delivery, engagement, and enthusiasm.
      • Example: “The presenter did a great job of keeping the audience engaged!”
    • Negative Feedback:
      • Comments that mention poor delivery, lack of enthusiasm, or disengaging style.
      • Example: “The presenter seemed monotone and hard to follow.”
  4. Video Length:
    • Positive Feedback:
      • Comments praising the video’s length (e.g., concise, to the point).
      • Example: “I liked that the video was short and straight to the point.”
    • Negative Feedback:
      • Comments that criticize the video for being too long or too short.
      • Example: “This video was too long for the content being shared.”
  5. Call to Action / Next Steps:
    • Positive Feedback:
      • Comments appreciating a strong or clear call to action (e.g., encouraging users to subscribe, visit a website, etc.).
      • Example: “The call to action was clear and easy to follow.”
    • Negative Feedback:
      • Comments indicating confusion or lack of direction in the call to action.
      • Example: “It wasn’t clear what I should do after watching the video.”
  6. Suggestions for Improvement:
    • Collect constructive feedback from the audience regarding how to improve future videos.
      • Example: “It would be great if you could include more real-world examples.”

5. Sentiment Analysis

  • Overall Sentiment:
    Analyze the overall sentiment of the comments and feedback (positive, negative, or neutral). Provide a breakdown of the sentiment analysis.
    • Sentiment Analysis Tools:
      If applicable, use sentiment analysis tools to automate the process of categorizing comments into positive, negative, or neutral.
      • Example:
        • “Sentiment Breakdown: 70% Positive, 20% Neutral, 10% Negative.”
    • Example Sentiment Summary:
      “The feedback for the video was largely positive, with most users appreciating the quality and clarity of the content. However, some comments mentioned the video could be shorter or more in-depth in certain areas.”

6. Actionable Insights & Recommendations

Purpose:
Based on the categorized feedback, provide actionable insights that can help improve future video content. Use data to back up each recommendation.

  • Key Insights:
    • Summarize the key insights gathered from feedback and sentiment analysis.
      • Example: “Audiences appreciated the visual clarity and helpfulness of the tutorial, but the video was criticized for being too long and lacking deeper examples.”
  • Improvement Recommendations:
    • Provide specific, actionable suggestions for improving future video content.
      • Example:
        • “Shorten the length of the video to under 10 minutes to maintain viewer attention.”
        • “Include more detailed examples and real-world applications to improve the depth of content.”
        • “Ensure a more dynamic delivery to maintain viewer engagement throughout.”

7. Feedback Data Summary

  • Positive Feedback Summary:
    List the most frequent positive comments in bullet points or tables. These can be quotes or key themes from the feedback.
    • Example:
      • “Clear explanation”
      • “Great visual quality”
      • “Engaging presenter”
  • Negative Feedback Summary:
    List the most frequent negative comments in bullet points or tables. Identify recurring issues or concerns.
    • Example:
      • “Video too long”
      • “More examples needed”
      • “Sound quality could be improved”

8. Conclusion

  • Summary of Findings:
    Summarize the overall performance of the video in terms of audience feedback and engagement. Mention key strengths and areas for improvement.
    • Example: “Overall, the video performed well in terms of engagement and viewer satisfaction, with room for improvement in terms of video length and content depth.”
  • Next Steps:
    Suggest what should be done next based on the insights. This could include changes to video creation strategies, production processes, or further engagement with the audience.
    • Example: “For future videos, we will focus on creating shorter, more focused content, while incorporating additional examples to enhance clarity.”

Video Feedback Analysis Template Example:

[Header Section]

  • Title: Video Feedback Analysis Report – “How to Use [Product]”
  • Date: February 10, 2025
  • Prepared By: Marketing Team
  • Video(s) Analyzed: “How to Use [Product]”

[Video Overview]

  • Video Title(s): “How to Use [Product]”
  • Release Date: January 15, 2025
  • Video Length: 15 minutes
  • Platform(s): YouTube, Facebook
  • Purpose of the Video: Educational tutorial on how to use [Product].

[Audience Engagement Metrics]

  • Total Views: 250,000
  • Likes and Dislikes: 22,000 Likes, 300 Dislikes
  • Comments Count: 1,500 Comments
  • Shares: 5,000 Shares
  • Engagement Rate: 11% (Likes + Comments + Shares ÷ Total Views × 100)
  • Watch Time (Average): 8 minutes
  • Audience Retention: 70% at 5-minute mark

[Categorizing Audience Feedback]

  1. Content Quality:
    • Positive Feedback: “The tutorial was super clear and easy to follow.”
    • Negative Feedback: “Could have explained the more advanced features of the product.”
  2. Video Production Quality:
    • Positive Feedback: “Great video quality and clear audio.”
    • Negative Feedback: “The lighting could be improved.”
  3. Engagement and Delivery:
    • Positive Feedback: “The presenter was very engaging.”
    • Negative Feedback: “The presenter spoke too quickly in some sections.”

[Sentiment Analysis]

  • Overall Sentiment: 75% Positive, 15% Neutral, 10% Negative

[Actionable Insights & Recommendations]

  • Key Insights:
    • “Audience enjoyed the clarity of the tutorial but found it too long in certain sections.”
  • Recommendations:
    • “Shorten the video to under 12 minutes.”
    • “Incorporate more examples to explain advanced features.”
    • “Improve the lighting and pace the delivery.”

[Conclusion]

  • Summary of Findings:
    • “Overall, the video received positive feedback but could benefit from shortening and adding more depth in certain areas.”
  • Next Steps:
    • “Focus on refining video length and content depth for future tutorials.”

This Video Feedback Analysis Template allows for a thorough and organized review of audience feedback on videos, providing clear insights that help improve future video content creation strategies.

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