🪄 AI-Powered Content Discovery

Go1 offers a diverse learning platform with content from 250+ providers to address businesses' upskilling needs.

As a senior product designer, I collaborated closely with my product design leader, Tara Hickman, in the Search and Discovery domain to enhance user experience and accessibility to relevant content

Started date

March 2023

Platform

Web App

Company

Go1

Industry

EdTech

Available on

Goals

Our goal is to leverage AI to transform the learning experience by personalizing content recommendations, automating curation, enabling adaptive learning, facilitating natural language interactions, and providing actionable insights through analytics.

Challenge

Low Conversation Rates: Users struggle to navigate a vast content library with over 100,000 pieces. The lack of comprehensive metadata hinders effective content preview.

Inefficient Content Discovery: Learning managers face challenges in efficiently reviewing content quality due to a cumbersome preview experience. Users lack visual cues to identify and avoid outdated content, leading to time wastage.

Growth as Opportunity: Rapid AI growth presents an opportunity to seamlessly adapt and integrate new trends, enhancing user experiences.

Opportunity

Harnessing the power of AI to enhance content discovery and personalization.

Improving user engagement and learning outcomes through AI-driven recommendations.

Streamlining the content review process for learning managers, resulting in time and resource savings.

Design Process

01 - Problem Discovery

Identified user difficulties in finding the right content through secondary research and user feedback. Recognized the opportunity to leverage AI technology to address these challenges.

  • Collaborated with AI experts to explore suitable AI technologies and algorithms for content personalization and recommendation, aligning with project objectives.

01 - Problem Discovery

Identified user difficulties in finding the right content through secondary research and user feedback. Recognized the opportunity to leverage AI technology to address these challenges.

  • Collaborated with AI experts to explore suitable AI technologies and algorithms for content personalization and recommendation, aligning with project objectives.

01 - Problem Discovery

Identified user difficulties in finding the right content through secondary research and user feedback. Recognized the opportunity to leverage AI technology to address these challenges.

  • Collaborated with AI experts to explore suitable AI technologies and algorithms for content personalization and recommendation, aligning with project objectives.

Solution Implementation

AI-Driven Metadata Enhancement: Elevating Content Discovery

Previously, admins spent countless hours manually reviewing courses to ensure quality and relevance.

With AI assistance, learning managers can now efficiently evaluate course suitability by previewing learning outcomes, summaries, skills covered, and ratings, comparing results with other relevant content across providers and formats.

AI-Driven Metadata Enhancement: Elevating Content Discovery

Previously, admins spent countless hours manually reviewing courses to ensure quality and relevance.

With AI assistance, learning managers can now efficiently evaluate course suitability by previewing learning outcomes, summaries, skills covered, and ratings, comparing results with other relevant content across providers and formats.

AI-Driven Metadata Enhancement: Elevating Content Discovery

Previously, admins spent countless hours manually reviewing courses to ensure quality and relevance.

With AI assistance, learning managers can now efficiently evaluate course suitability by previewing learning outcomes, summaries, skills covered, and ratings, comparing results with other relevant content across providers and formats.

Content Comparison AI: Empowering Informed Decision-Making

AI algorithms compare content items based on relevance, quality, and user preferences, empowering users with insights for informed decision-making during content selection. This leads to improved learning outcomes and engagement.

Content Comparison AI: Empowering Informed Decision-Making

AI algorithms compare content items based on relevance, quality, and user preferences, empowering users with insights for informed decision-making during content selection. This leads to improved learning outcomes and engagement.

Content Comparison AI: Empowering Informed Decision-Making

AI algorithms compare content items based on relevance, quality, and user preferences, empowering users with insights for informed decision-making during content selection. This leads to improved learning outcomes and engagement.

Automated Curation: Tailoring Content Selections for You

Utilizes AI algorithms to automate content curation, personalizing selections based on user preferences, behavior patterns, and learning objectives. This dynamic process tailors content playlists to each user, aligning with their goals and enhancing learning relevance.

Automated Curation: Tailoring Content Selections for You

Utilizes AI algorithms to automate content curation, personalizing selections based on user preferences, behavior patterns, and learning objectives. This dynamic process tailors content playlists to each user, aligning with their goals and enhancing learning relevance.

Automated Curation: Tailoring Content Selections for You

Utilizes AI algorithms to automate content curation, personalizing selections based on user preferences, behavior patterns, and learning objectives. This dynamic process tailors content playlists to each user, aligning with their goals and enhancing learning relevance.

Feedback Trigger Mechanism: Enhancing User Engagement and Satisfaction

Employs a feedback trigger mechanism to gather real-time user feedback on content relevance and quality, driving continuous refinement of content recommendations and learning pathways.

This iterative process enhances user engagement and satisfaction, fostering an environment where user input contributes to an improved learning experience.


Feedback Trigger Mechanism: Enhancing User Engagement and Satisfaction

Employs a feedback trigger mechanism to gather real-time user feedback on content relevance and quality, driving continuous refinement of content recommendations and learning pathways.

This iterative process enhances user engagement and satisfaction, fostering an environment where user input contributes to an improved learning experience.


Feedback Trigger Mechanism: Enhancing User Engagement and Satisfaction

Employs a feedback trigger mechanism to gather real-time user feedback on content relevance and quality, driving continuous refinement of content recommendations and learning pathways.

This iterative process enhances user engagement and satisfaction, fostering an environment where user input contributes to an improved learning experience.


Let's work together

I'm open for project discussions, enhancing your online presence, or tackling UX/UI design challenges. Feel free to contact me at nguyenphuctuongvan@gmail.com to explore the next opportunity, or connect with me on...

Let's work together

I'm open for project discussions, enhancing your online presence, or tackling UX/UI design challenges. Feel free to contact me at nguyenphuctuongvan@gmail.com to explore the next opportunity, or connect with me on...

Let's work together

I'm open for project discussions, enhancing your online presence, or tackling UX/UI design challenges. Feel free to contact me at nguyenphuctuongvan@gmail.com to explore the next opportunity, or connect with me on...

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