SayPro Task 2: Set Up Prompts for Job Posting List

Task 2: Set Up Prompts for Job Posting List – Utilizing GPT-generated Prompts to Extract and Integrate Job Categories

Objective:

The goal of this task is to leverage GPT-generated prompts to extract 100 job categories per prompt and integrate them into the SayPro system. This task forms part of the SayPro Monthly January SCMR-12 initiative, under the SayPro Quarterly Internships Opportunities Management program, managed by the SayPro Jobs Office in collaboration with SayPro Marketing Royalty SCMR.

Steps and Deliverables:

1. Generate Job Categories Using GPT Prompts

• Develop GPT Prompts: Create and refine prompts to be used in GPT models to extract job categories. Each prompt should be capable of returning at least 100 unique job categories relevant to the SayPro platform.
  • Example Prompt: “List 100 diverse job categories across various industries, including but not limited to education, healthcare, technology, marketing, finance, construction, arts, engineering, and government.”
  • Prompt Refinement: Ensure that the prompts are specific enough to capture a wide range of categories but flexible enough to allow for diversity in results. Adjust wording if necessary to optimize the quality of generated job categories.

2. Extract and Review Job Categories

• Run Prompts through GPT: Input the created prompts into the GPT model to generate 100 job categories per prompt. Ensure a sufficient number of prompts are executed to generate the required volume of categories.
  • Example Output: Categories such as Data Analyst, Marketing Specialist, Web Developer, Civil Engineer, Human Resources Manager, etc.
• Review and Clean the Results: Once the categories are generated, review them to ensure relevance, completeness, and avoid duplicates. This involves:
  • Removing or consolidating overlapping categories (e.g., “Web Developer” and “Software Developer” may overlap).
  • Grouping similar categories under broader headings if necessary (e.g., “Marketing Specialist” and “Digital Marketing Expert” could be combined under “Marketing”).

3. Categorization and Structuring for SayPro System

• Create a Hierarchical Structure: Organize the extracted job categories into logical groups or clusters based on industries, skillsets, or job types.
  • Industry-Based Grouping: For instance, group jobs into industries such as Technology, Healthcare, Finance, etc.
  • Skill-Based Grouping: Create subcategories such as “Entry-Level,” “Mid-Level,” and “Senior-Level” within each broader category.
• Metadata Assignment: Assign relevant metadata such as keywords, job descriptions, and tags to each category to improve searchability and user experience within the SayPro system.

4. Integration into SayPro System

• Upload Job Categories: Using the SayPro system’s interface, input the generated job categories. Ensure that all categories are properly mapped to the system’s taxonomy and adhere to the existing category structure.
• Cross-check with Existing Categories: Ensure that the newly integrated categories do not overlap or conflict with existing categories already in the SayPro system.
• System Testing: Test the new job category listings by performing searches and filtering within the SayPro system. Ensure that the newly added categories are searchable and display correctly when users browse job listings.

5. Monitor and Report Performance

• Monitor User Interaction: Track how users interact with the new job categories. Are they frequently used in job postings? Are there any categories that seem underused or irrelevant? Adjust the list based on this feedback.
• Monthly and Quarterly Reporting: Submit progress reports under the SayPro Monthly January SCMR-12 and SayPro Quarterly Internships Opportunities Management programs. Highlight the number of categories added, any challenges faced, and recommendations for future improvements.

6. Collaboration with SayPro Marketing Royalty SCMR

• Marketing Input and Branding: Work with SayPro Marketing Royalty SCMR to ensure that job categories are aligned with SayPro’s branding and marketing strategy.
• Promotion of New Categories: Collaborate with the marketing team to promote the new job categories to relevant audiences through email campaigns, social media, and SayPro’s website. This could involve showcasing certain categories based on industry trends or regional demand.

7. Documentation and Continuous Improvement

• Document the Process: Keep a detailed record of the GPT prompts used, job categories generated, and the steps taken to integrate them into the SayPro system. This documentation will serve as a reference for future updates or system expansions.
• Continuous Updates: Revisit the list of job categories periodically (e.g., every quarter) to update or expand the list based on new market trends, user demand, or SayPro’s strategic goals.

Expected Outcome:

• Successful integration of 100+ job categories into the SayPro system, organized and optimized for user interaction.
• Enhanced user experience through a comprehensive and well-structured list of job categories, facilitating more accurate job postings and searches.
• Alignment with SayPro’s broader strategic objectives of empowering youth and communities by providing access to a wide range of job opportunities across industries.

By the end of this task, the SayPro system should have a fully operational job posting list with diverse job categories, enriching the job search experience for users and supporting SayPro’s employment and internship opportunities management efforts.