SayPro Description of the Process

SayPro Monthly January SCMR-5 SayPro Monthly Classified Sorting Options: Provide sorting options such as date, price, or popularity by SayPro Classified Office under SayPro Marketing Royalty SCMR

Planning and Research:

The planning and research phase is critical for ensuring the proper execution and effectiveness of the classified sorting options within the SayPro Classified platform. It sets the foundation for a smooth process by identifying key features, user needs, and market trends. Here’s how this phase is structured:

1. Identify User Needs and Preferences:
   • Research: Conduct surveys, interviews, or user feedback analysis to identify the sorting features that users find most valuable, such as sorting by date, price, or popularity. This ensures that the sorting options meet real user demands.
   • Competitive Analysis: Study competitor platforms to understand the sorting options they provide and identify any gaps or opportunities for improvement in SayPro Classified.
2. Define the Sorting Criteria:
   • Based on the research and user feedback, decide the sorting options to be offered (date, price, popularity). This decision should align with user behavior and expectations to enhance user experience.
   • Clarify the system’s behavior when multiple sorting criteria are used (e.g., combining price and popularity).
3. Develop User Stories:
   • Create detailed user stories that describe how the sorting options should function from the perspective of different user roles (e.g., buyers, sellers, administrators).
   • Example user stories might include: “As a buyer, I want to sort listings by price so I can find affordable options” or “As a seller, I want to sort my listings by date to highlight recent ads.”
4. Define Performance Metrics:
   • Establish performance metrics for sorting functions, such as response time, accuracy, and system load handling. This helps set expectations for the platform’s performance under different conditions.
5. Create a Project Timeline:
   • Outline the timeline for development, testing, and deployment, breaking down key milestones (e.g., research completion, development of sorting logic, testing phases, and user acceptance testing).

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Testing and Quality Assurance:

The testing and quality assurance (QA) phase ensures that the sorting features of SayPro Classified work reliably and effectively. This phase will focus on functional testing, regression testing, and performance testing to maintain the integrity of the platform.

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Functional Testing:

Functional testing ensures that the sorting features of the SayPro Classified platform meet the specified requirements and function as intended. The primary goal is to identify and resolve any issues related to sorting inconsistencies, broken links, or unexpected behaviors in the system.

1. Test Sorting by Date:

• Objective: Ensure that the sorting functionality by date displays the most recent listings first and allows users to toggle between ascending and descending order.
• Testing Steps:
  • Add new ads with different timestamps to the platform.
  • Perform sorting by date and verify that the results match the correct chronological order.
  • Test both ascending and descending order.
• Expected Result: Ads should appear in the correct order without delays or errors.

2. Test Sorting by Price:

• Objective: Verify that users can sort listings from the lowest to highest price (and vice versa) accurately.
• Testing Steps:
  • Add listings with varying price points.
  • Perform sorting by price and check if the items are displayed in the correct order.
  • Test with a wide range of prices to ensure proper handling of large datasets.
• Expected Result: The platform should accurately display the listings in ascending and descending price order without skipping or misordering any items.

3. Test Sorting by Popularity:

• Objective: Ensure that the popularity sorting is based on correct criteria, such as views, clicks, or user interactions.
• Testing Steps:
  • Conduct simulated user interactions (views, clicks, etc.) on various listings.
  • Test the sorting by popularity to check if the most popular ads are displayed first.
  • Test scenarios where ads have similar popularity levels.
• Expected Result: Ads should be ranked accurately by popularity, with no broken logic or discrepancies in ranking.

4. Check for Sorting Inconsistencies:

• Objective: Identify and resolve any inconsistencies between sorting options (e.g., when sorting by price and date).
• Testing Steps:
  • Test combinations of sorting by price, date, and popularity.
  • Check if the system can handle multiple sorting criteria and return correct results.
• Expected Result: The system should sort according to the combined criteria without conflicts.

5. Verify Broken Links in Sorted Results:

• Objective: Ensure that no broken links appear after sorting.
• Testing Steps:
  • Manually inspect and click through a variety of ads from the sorted list.
  • Use automated tools to check for broken links and dead ends in sorted results.
• Expected Result: All links should be functional, leading to the correct ad page without 404 errors.

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Performance Testing:

After functional testing, the sorting feature should also be tested for performance under varying loads to ensure it can handle large datasets and high traffic volumes.

1. Load Testing: Test the system’s ability to perform sorting operations under a heavy load, such as hundreds or thousands of concurrent users.
   • Expected Result: The system should handle sorting operations efficiently without significant delays or errors.
2. Stress Testing: Determine the maximum capacity of the system for sorting operations, ensuring that the platform can scale when necessary.
   • Expected Result: The system should remain responsive even under heavy strain.
3. Response Time Testing: Measure the time it takes for the sorting functionality to complete under typical and high-load conditions.
   • Expected Result: Sorting operations should return results within an acceptable time frame, even when sorting a large number of ads.

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Conclusion:

Through thorough planning, research, and extensive testing (both functional and performance-related), the SayPro Classified sorting options can be optimized for user satisfaction and operational efficiency. Addressing issues like sorting inconsistencies, broken links, and load handling early on ensures that the platform delivers a seamless experience to users. By focusing on these key areas, SayPro Classified will maintain a robust sorting feature that supports the platform’s functionality under varying conditions.