SayPro Monthly January SCMR-5 SayPro Monthly Classified Spam Protection: Implement antispam measures for ad submissions by SayPro Classified Office under SayPro Marketing Royalty SCMR
User Feedback Tracking Sheet for SayPro Monthly January SCMR-5
SayPro Monthly Classified Spam Protection: Implement Antispam Measures for Ad Submissions
The User Feedback Tracking Sheet is a tool designed to track, manage, and analyze user feedback related to spam protection issues encountered on the SayPro Classifieds platform. This sheet will play a critical role in assessing the effectiveness of the SayPro Monthly Classified Spam Protection initiatives under SayPro Marketing Royalty SCMR. It will be used by the SayPro Classified Office to gather detailed feedback from users and identify areas where spam protection systems may need refinement.
Template Overview:
This template includes several key sections to help systematically collect user feedback regarding spam issues, assess the performance of the current protection systems, and guide improvements.
User Feedback Tracking Sheet Structure:
1. Basic Information:
- Feedback ID: Unique identifier for each feedback entry (Auto-generated or manually assigned).
- Date of Submission: Date when the feedback was received.
- User ID: Unique identifier for the user submitting the feedback (if applicable).
- User Type: Indicate whether the user is a New User, Regular User, or Admin.
- Category of Feedback: Choose from:
- Ad Submission Issues
- Spam Detection Issues
- CAPTCHA/Verification Problems
- Account Blocked as Spam
- Other (Specify)
2. Description of Spam-Related Issue:
- Detailed Issue Description: A field for the user to explain the problem in their own words. Examples of common issues might include:
- Difficulty submitting an ad due to CAPTCHA failures.
- Ads being incorrectly flagged as spam.
- Unwanted spam ads appearing on the platform.
- Issues with the registration process for users trying to submit ads.
3. Spam Protection Effectiveness Rating:
- Rating (1-5): Users rate their experience with the spam protection system, where:
- 1 = Very Poor (Spam continues to appear, and protection measures are ineffective)
- 5 = Excellent (No spam encountered, and protection works perfectly)
- Reason for Rating: A space to elaborate on why the user gave the rating. For example:
- “The CAPTCHA was too difficult to complete, and my ad wasn’t posted.”
- “I’ve seen an increase in the number of spam ads on my page despite the filters in place.”
4. Specific Spam Issue Encountered:
- Type of Spam Encountered: Options for users to specify the kind of spam issue they encountered, such as:
- Fake ads or misleading content.
- Bot-generated content or automated submissions.
- Duplicate ads or excessive postings by a single user.
- Inappropriate keywords or content in ads.
- Suspicious or spammy-looking user accounts.
5. Antispam System Interaction:
- System Interaction Details: A section for users to describe their interaction with the spam protection system. This might include:
- Whether they encountered CAPTCHA, email verification, or other methods.
- Whether the system flagged their ad incorrectly.
- Any error messages or issues faced during the ad submission process.
6. Action Taken by User (if applicable):
- Self-Resolution Attempted: A field where users can describe whether they tried to fix the issue themselves, such as retrying the CAPTCHA, changing the content of their ad, or using a different email for registration.
- Yes / No
- Action Taken by Support Team: If applicable, indicate whether the support team has addressed the issue and what action was taken (e.g., blocking or removing spam ads, improving CAPTCHA settings).
7. Resolution Status:
- Open / Resolved: Indicates whether the issue has been fully addressed or is still open.
- Resolved By: If the issue has been resolved, note the person or team who resolved it (e.g., Customer Support, IT Department).
8. Follow-Up (if required):
- Follow-Up Action Needed: A checkbox indicating whether follow-up is needed. For example:
- User has asked for further clarification or assistance.
- The issue might require more technical investigation.
- User feedback indicates a potential system-wide issue that needs broader attention.
9. Additional Comments or Suggestions:
- User Comments: A field for users to leave additional feedback or suggestions about improving the spam protection measures. Examples:
- “It would be helpful if the CAPTCHA could be less challenging for mobile users.”
- “Perhaps a more dynamic filtering system could help catch different kinds of spam.”
10. Spam Detection System Response:
- Feedback Sent to Development Team: Yes/No (Indicates whether the feedback has been forwarded to the development or IT team for review).
- Action Taken: If the feedback is escalated, note any actions taken or changes suggested by the team, including bug fixes or system updates.
User Feedback Tracking Sheet Sample Entry:
| Feedback ID | Date | User ID | User Type | Category | Issue Description | Rating (1-5) | Reason for Rating | Spam Encountered | System Interaction | Self-Resolution | Action Taken by Support | Resolution Status | Follow-Up Required | Additional Comments |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 001 | 2025-01-12 | 12345 | Regular | Ad Submission Issues | Couldn’t submit ad due to CAPTCHA failing repeatedly. | 2 | CAPTCHA is too difficult to read on mobile. | Fake ad attempts | CAPTCHA not loading | Yes | None | Open | Yes | Improve CAPTCHA design. |
| 002 | 2025-01-13 | 67890 | Admin | Spam Detection Issues | Legitimate ad flagged as spam due to keyword misdetection. | 4 | Spam filter incorrectly flagged my ad. | Duplicate ad | Email verification issue | No | Re-evaluated ad content. | Resolved | No | System flag could be smarter. |
Instructions for Using the Tracking Sheet:
- Daily Review: The SayPro Classified Office will review the feedback on a daily or weekly basis to ensure timely responses and actions are taken.
- Follow-Up Actions: Based on the feedback, the office will escalate major issues to the relevant departments, including IT and customer support, to ensure prompt resolution.
- Continuous Improvement: Feedback will be aggregated for trend analysis, helping the SayPro Classified team refine spam protection measures on an ongoing basis.
This User Feedback Tracking Sheet is essential for assessing the impact of the spam protection systems and ensuring continuous improvements to the SayPro Classifieds platform.
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