Developed modular content strategy and refined knowledge web
- Day: 2025-03-05
- Time: 16:35 to 17:25
- Project: SEO
- Workspace: WP 1: Strategic / Growth & Development
- Status: In Progress
- Priority: MEDIUM
- Assignee: Matías Nehuen Iglesias
- Tags: Content Strategy, SEO, Blogging, Knowledge Management, Data Science
Description
Session Goal
The goal of this session was to refine content strategies and enhance the structuring of knowledge for blog content and data science topics.
Key Activities
- Correcting VLOOKUP Usage in Excel: Addressed common issues with VLOOKUP formulas and suggested using INDEX-MATCH for better reliability.
- Systematic Approach to Blog Post Creation: Developed a structured workflow for content creation, including categorization and automation.
- Pruning and Clustering Ideas: Evaluated and prioritized blog content ideas, focusing on readiness, uniqueness, and quality.
- Data Science Content Structuring: Filtered and grouped data science ideas to identify redundancies and merge strong topics.
- Modular Content Strategy: Organized blog content as modular ‘Lego bricks’ for enhanced accessibility and interlinking.
- Execution of Web Structuring Phase: Initiated structuring of a network of articles, focusing on core clusters and knowledge paths.
Achievements
- Developed a comprehensive modular content strategy for blogging and knowledge sharing.
- Refined the structuring of knowledge web for better organization and accessibility.
Pending Tasks
- Further development and implementation of the modular content strategy across all content areas.
- Continued refinement of knowledge clusters and learning paths for data science topics.
Evidence
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