OVERVIEW.
Summary:
SkillHive connects individuals who want to learn new skills with those willing to teach. Designed for personalized learning, SkillHive simplifies the process of finding mentors and creating meaningful learning connections. The platform fosters a community-driven approach to learning, helping people share knowledge and grow together.
Research (UX Research Methodology)
Research Methodology:
To design SkillHive, we used a mix of research techniques:
User Interviews: We conducted 10 user interviews to understand how users prefer to learn and the challenges they face when looking for a mentor.
Competitive Analysis: We examined existing platforms like Skillshare and Udemy to uncover gaps in the market, particularly around mentor connections.
Affinity Mapping: Post-interviews, we identified recurring themes like ease of navigation, personalized learning, and the need for community engagement.
Research Findings:
Insight 1: Users expressed difficulty in finding the right mentor.
Insight 2: A simplified navigation system is essential for effective skill searching.
Insight 3: Community-driven learning should be central to the platform experience.
User Flows (User Journey & Mapping)
Primary User Flow:
The user flow is designed to be simple and intuitive:Sign-Up: Users create an account by providing their learning preferences and skills they can offer.
Explore Skills & Mentors: Users browse and filter available mentors based on skills and preferences.
Connect with Mentor: After selecting a mentor, users schedule sessions and begin their learning journey.
Affinity Map & Pain Points:
Pain Point 1: Difficulty in selecting a mentor due to insufficient personalization.
Pain Point 2: The mentor connection process was found to be clunky and hard to navigate.
Wireframes & Prototype (Design and Prototyping)
Wireframes:
The wireframes focused on the basic structure and navigation of the platform:Homepage: Displays featured skills and mentors.
Search Page: Filters allow users to find mentors based on skills, ratings, etc.
Mentor Profile: Detailed mentor pages show available slots, ratings, and reviews.
Final Design (High Fidelity):
The final design incorporated user feedback, focusing on a clean layout with easy access to key features. The use of color coding, intuitive icons, and clear call-to-action buttons makes the platform simple to use.Prototype Embed:
Link to Interactive Prototype:
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Conclusion & Final Screens
SkillHive successfully simplifies the mentor-mentee connection process while providing an engaging, user-centered experience. The design prioritizes user needs and encourages active participation in the learning community.
Future iterations will include AI-driven mentor matching and an improved mobile-first design for better accessibility.
