sMart Mentor

A 1:1 mentor-matching platform connecting students with industry professionals in minutes.

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sMart Mentor

Product Overview

sMart Mentor is a C2C mentorship platform that helps students book virtual coffee chats with industry professionals. The experience is designed to be judgement-free, relatable, and emotionally safe. Students receive mentor recommendations based on background, experiences, and industry interests, allowing them to book a meaningful 1:1 conversation in under two minutes.

Problem Space

Students struggle to access mentorship for three major reasons:

  • 60–70 percent of students report difficulty finding mentors or professionals willing to speak with them.
  • First-gen & international students are disproportionately affected, lacking networks needed for early career exploration.
  • Cold outreach has <10 percent response rates, making informal mentorship nearly inaccessible.

Outcomes

  • Led a team of 4 to deliver a mentorship experience that enables students to book a mentor in under two minutes
  • Grew member base to 500+ potential users in 2 months.
  • Delivered a recommendation system using student background + interest inputs
  • Designed a platform emphasizing psychological safety and authenticity
  • Enabled meaningful 1:1 mentorship moments that feel “like talking to a friend”
  • Positioned the platform to support scalable student–mentor matching

My Role

I defined the product narrative, experience principles, and recommendation logic that power sMart Mentor. My role focused on articulating the emotional value proposition — a safe, human environment for students — and structuring how the platform guides users from profile creation → mentor recommendations → booking. I shaped the storytelling, UX framing, and matching logic shown in the diagrams.

Product Ownership

  • Defined the core value proposition and user promise
  • Structured how mentor recommendations are generated from student inputs
  • Designed the matching and booking flows to minimize friction
  • Created emotional framing emphasizing safety, relatability, and support

Execution

  • Designed the full mentor-matching journey shown in the diagrams
  • Crafted product messaging and UX tone (“Make your consultation feel like talking to a friend”)
  • Built the visual storytelling that connects inputs → recommendations → meaningful conversation
  • Refined the experience to ensure booking is fast, intuitive, and welcoming

Leadership

  • Established the narrative foundation and emotional differentiators
  • Advocated for a mentorship model based on relatability and shared experience
  • Ensured the platform felt psychologically safe for all student segments

4. Discovery

  • Explored emotional barriers students face when trying to connect with professionals
  • Identified what creates trust and relatability in mentorship contexts
  • Mapped user needs to platform components: profile inputs, mentor attributes, booking flow
  • Validated that students prefer mentors with shared backgrounds or culturally relevant experiences

5. Solution

Core Features & Deliverables

  • Mentor recommendations based on student background + aspirations
  • Clear mentor profiles highlighting experiences, skills, and story
  • Booking flow that allows students to schedule 1:1 sessions quickly
  • Emotional framing and UX writing that reduce fear and pressure

Workflow Simplification

  • Condensed the mentorship journey into three simple steps: Input → Match → Book
  • Eliminated cold outreach, long search time, and high-pressure networking

Decision Logic

  • Matched students to mentors based on shared experiences, not just job titles
  • Prioritized psychological safety and approachability as core design constraints

6. System / Architecture View

Components Worked With

  • Recommendation Engine: Student background, experience, and interest inputs
  • Mentor Profiles: Experience summaries, personal background, skill tags
  • Booking Flow: Time selection, confirmation, and conversation setup

My Role Across Components

  • Defined inputs that drive recommendation matching
  • Designed the end-to-end flow represented in the diagrams
  • Ensured the system leads students toward a meaningful, personalized session

7. Execution & Delivery

  • Produced the diagrams showing the matching logic and flow
  • Built the narrative that ties mentor recommendations to emotional outcomes
  • Designed the experience to be welcoming, frictionless, and human
  • Defined the UX principles supporting trust and comfort

9. What I Learned

  • How to design for emotional safety, not just functional usability
  • How shared background and identity shape mentorship quality
  • How to structure matching logic for simplicity and speed
  • How to articulate a product narrative grounded in psychological insight

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