SayPro Tasks to Be Done for the Period Test and Optimize:

Objective: Test and optimize the filters for the “SayPro Monthly Volunteer Opportunity Filters,” specifically focused on filtering by “Type of Volunteer Work” or “Location,” as outlined in SayPro Monthly January SCMR-12. This task will be performed under the supervision of the SayPro Jobs Office, as part of the SayPro Marketing Royalty initiative.

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Step 1: Review Filter Requirements

1. Understand Filter Criteria:
   • Type of Volunteer Work (e.g., administrative, environmental, educational, healthcare, community outreach, etc.)
   • Location (e.g., city, region, virtual/remote options)
2. Identify Desired Outcomes:
   • Filters should accurately categorize and display volunteer opportunities based on both work type and location.
   • The system must be user-friendly and efficient, enhancing volunteer engagement.

Step 2: Test Filter Functionality

1. Simulate User Interactions:
   • Test various combinations of filter selections, such as:
     • Type of Volunteer Work + Location.
     • Type of Volunteer Work alone.
     • Location alone.
     • No filter (viewing all available opportunities).
2. Evaluate Filter Accuracy:
   • Ensure that the results presented align with the selected filters (e.g., selecting “Healthcare” should display healthcare-related volunteer positions).
   • Check for any missing, irrelevant, or incorrect data points in the filtered list.
3. Performance Testing:
   • Measure page load times and responsiveness when applying filters.
   • Monitor system performance when users select multiple filters simultaneously.
   • Test for any potential errors, slowdowns, or crashes during heavy traffic periods.

Step 3: Collect Feedback

1. User Feedback:
   • Conduct internal testing with team members who are familiar with the volunteer opportunities and filter structure.
   • Ask for specific feedback on the ease of use, filter clarity, and relevance of the results.
2. Volunteer Feedback:
   • Gather feedback from a sample of actual users (volunteers) after they interact with the filters.
   • Use surveys or follow-up interviews to understand if the filter system meets user expectations.

Step 4: Analyze Data and Usage Patterns

1. Analytics Review:
   • Analyze filter usage data (from website or platform analytics) to see which filters are most commonly used.
   • Identify common filter combinations or trends that can help improve the filter structure.
2. Usage Patterns:
   • Monitor how frequently certain types of volunteer opportunities are searched.
   • Evaluate if users tend to focus more on “Type of Volunteer Work” or “Location,” and adapt the filter system accordingly.

Step 5: Optimize Based on Feedback

1. Adjust Filter Logic:
   • If necessary, refine the logic behind how filters apply and display results. For example, prioritize certain filters or offer suggestions for commonly used filter combinations.
2. Improve Filter Options:
   • Add more granular filter categories (e.g., adding subcategories for volunteer work types or specific location options like country, state, or region).
   • Consider adding a search bar within the filter options for more precise filtering.
3. UI/UX Enhancements:
   • Based on user feedback, consider improving the design or layout of the filter interface (e.g., ensuring clarity of filter categories, adding visual indicators for selected filters, etc.).
   • Ensure that filters are easy to reset or modify.

Step 6: Re-test and Final Adjustments

1. Re-test After Optimization:
   • Conduct another round of testing after applying the necessary optimizations to ensure the issues identified have been resolved and that the filters now perform as expected.
2. Final Adjustments:
   • Address any remaining minor issues or tweaks based on further testing and feedback.
   • Confirm that both the filter by “Type of Volunteer Work” and filter by “Location” are functioning efficiently across multiple devices and browsers.

Step 7: Monitor and Document Results

1. Track Metrics:
   • Continuously monitor the performance of the filters after optimization, focusing on key metrics such as user engagement, filter usage, and volunteer sign-ups.
2. Document Changes:
   • Keep a detailed record of any changes made to the filter system, including updates to logic, UI adjustments, and feedback incorporated.
   • Create a post-optimization report summarizing the improvements and the expected impact on user experience and engagement.

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End of Task:

By the end of this period, the filters for “SayPro Monthly Volunteer Opportunity Filters” should be fully optimized based on real user feedback and system performance data, resulting in a more efficient, accurate, and user-friendly experience for volunteers looking to find opportunities based on type of work or location.