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Gen AI to Enhancing Content Management at DeepHpw

Context
Organizations today grapple with efficiently managing content, leading to hurdles in content discovery, personalized learning, and sharing. The absence of a streamlined system for crafting, organizing, discovering, and tracking targeted content hampers productivity, engagement, and skill acquisition.

Unpacking the overarching problem of managing and accessing department-centric content reveals several sub-problems and challenges. Addressing these would pave the way for a more streamlined organization, enhancing the experience for managers, content creators, and workers alike.

Problem Statement
Our platform currently lacks an efficient system for content management, which affects content discovery, personalized learning, and sharing. This results in decreased productivity and engagement. The core issue is the absence of a structured system for creating, organizing, and tracking targeted content.

Research
Our investigations revealed a window of opportunity to devise a flexible content management framework tailored for specific verticals. Many existing solutions rely on traditional methods, which are often inadequate or overly simplistic. We found that incorporating an AI-driven approach could significantly improve content creation and curation, making it easier for non-experts to manage content effectively.

Proposed Solution
We propose a feature dubbed "Collection for Workflows," aimed at facilitating organized and efficient interaction with curated video content for Managers, Editors, and Viewers.

Performance Metrics
Success KPIs:

Growth in User Engagement: Measured by average video views.
Improvement in Content Discovery: Gauged by unique department-specific content accessed.
Progress in Skill Development: Assessed by the average new skills acquired per employee.
Control KPIs:

User Satisfaction Rate: Maintenance of a high user satisfaction rate for the feature.
Content Management Efficiency: Ensuring content management efficiency doesn’t significantly overshoot compared to the previous system.


Conclusion
The "Collection for Workflows" feature effectively addresses the critical need for efficient content management in organizations. By streamlining content creation, organization, and discovery, it enhances user engagement and skill development. This user-centric platform, tailored for Managers, Editors, and Viewers, integrates AI-driven tools to keep content relevant and up-to-date.

Our structured approach ensures a smooth implementation and continuous improvement, positioning DeepHow as a leader in innovative workforce development solutions. This feature ultimately boosts productivity and knowledge retention, making it a valuable addition to our platform.

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