SayPro Tasks to Be Done for the Period: Week 4

SayPro Monthly January SCMR-5 SayPro Monthly Monthly Classified Image Optimization: Compress and optimize images for better performance by SayPro Classified Office under SayPro Marketing Royalty SCMR

Objective:

Finalize reports on image optimization results and run performance tests based on the SayPro Monthly January SCMR-5 for the SayPro Monthly Classified Image Optimization project. The focus is on compressing and optimizing images to enhance performance, managed by the SayPro Classified Office under SayPro Marketing Royalty SCMR.

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Task Breakdown for Week 4:

1. Review Previous Work and Results:

• Objective: Ensure all previous steps in the image optimization process are in place.
  • Review the data gathered on image compression rates, optimization tools used, and previous performance benchmarks.
  • Assess the performance of images that were optimized in the earlier weeks of the project.
  • Ensure all image formats (JPEG, PNG, WebP) have been properly compressed and optimized to the target levels.

2. Run Performance Tests on Optimized Images:

• Objective: Validate the effectiveness of the image optimization by running performance tests.
  • Task 1:Test Image Load Time:
    • Conduct load time tests for optimized images on the SayPro Classified platform (both desktop and mobile versions).
    • Measure before and after loading times for images that were part of the optimization process.
  • Task 2:Test Site Speed Performance:
    • Run full site speed tests using tools like Google PageSpeed Insights or GTMetrix for the classified ads website.
    • Compare performance metrics before and after optimization.
    • Focus on the “First Contentful Paint” (FCP) and “Largest Contentful Paint” (LCP) scores to see if image optimization has improved overall load performance.
  • Task 3:Test User Experience (UX) on Different Devices:
    • Check how the optimized images perform across different devices, including mobile phones, tablets, and desktops.
    • Pay particular attention to visual quality and whether images still render correctly after optimization.

3. Finalize Image Optimization Reports:

• Objective: Prepare a detailed final report on the image optimization process, performance results, and recommendations for further improvements.
  • Task 1:Document Results:
    • Compile the performance test data including load times, site speed improvements, and mobile optimization scores.
    • Document any challenges faced during the optimization process and how they were overcome.
  • Task 2:Highlight Key Metrics:
    • Include charts, graphs, or tables comparing key metrics before and after image optimization (e.g., image file sizes, load times, and page speed scores).
  • Task 3:Assess Visual Quality:
    • Include a section comparing visual quality of images before and after optimization (e.g., compression artifacts, loss of detail).
  • Task 4:Recommendations for Future Optimizations:
    • Identify areas where optimization can be further enhanced, such as exploring next-gen image formats (e.g., AVIF) or utilizing content delivery networks (CDNs) for faster loading.
    • Suggest alternative compression methods or new tools that could improve performance even more.

4. Conduct a Quality Assurance (QA) Review:

• Objective: Verify that all tasks were completed to a high standard and that the optimizations align with SayPro standards.
  • Task 1:Internal Review Meeting:
    • Hold a meeting with the SayPro Classified Office team to go over the results of the performance tests and the finalized reports.
    • Ensure that all image optimization steps have been implemented successfully and are working as intended.
  • Task 2:External Stakeholder Review:
    • Share the reports with SayPro Marketing Royalty SCMR and get their feedback.
    • Incorporate any feedback into the final version of the report.

5. Prepare for Deployment:

• Objective: Ready the optimized images and reports for deployment.
  • Task 1:Backup Optimized Images:
    • Ensure that all optimized images are stored securely and are ready to be uploaded to the live platform.
  • Task 2:Upload Optimized Images to Classified Platform:
    • If applicable, prepare a batch upload or automated process for deploying optimized images to the SayPro Classified website.
  • Task 3:Final Site Testing:
    • Conduct a final round of performance tests to confirm that the image optimization has been successfully applied to the live environment.
  • Task 4:Report Finalization:
    • Ensure the final report is polished and ready for sharing with internal and external stakeholders.

6. Documentation & Knowledge Transfer:

• Objective: Ensure all findings and best practices are documented for future reference.
  • Task 1:Create a Knowledge Base Article:
    • Write a detailed article on the SayPro Classified platform knowledge base, outlining the image optimization process, tools used, and tips for future optimization.
  • Task 2:Train Team Members:
    • Provide a training session for new team members on how to optimize images for the SayPro Classified platform.
    • Share key takeaways and lessons learned from this project.

7. Schedule Follow-Up Meetings:

• Objective: Organize follow-up sessions to assess long-term performance and continuous improvement.
  • Task 1:Plan Monthly Follow-Up:
    • Schedule a monthly review meeting to assess ongoing image optimization performance and determine if additional optimization steps are required.
  • Task 2:Review Impact on Conversion Rates:
    • Track how the optimization impacts user engagement and conversion rates over the next few weeks. If there are noticeable improvements, document these as additional outcomes of the image optimization efforts.

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Expected Outcomes:

• Final report with comprehensive performance test results and data.
• Improved website load times, particularly in mobile and desktop environments.
• Enhanced user experience with optimized image loading.
• Actionable recommendations for further optimization strategies.

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By the end of Week 4, these tasks should be completed, ensuring that the image optimization process is fully implemented and the results are well-documented for future review.