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Company focus

Scaler
Product Improvement Medium Member-only

How would you improve the one-to-one mentorship experience in Scaler Academy for working professionals?

Prepared by NextSprints

13 mins
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Service Design Prioritization Metric Definition EdTech Professional Education Edtech Mentorship Product-Improvement Upskilling
Product Management Improvement Question: Scaler Academy one-to-one mentorship for working professionals

Introduction

Scaler Academy's flagship programs for working software engineers combine live classes, assignments, a peer community and one-to-one mentorship from engineers working at product companies. Mentorship is one of the most-promoted parts of the program: learners book sessions with a mentor to discuss progress, doubts, interviews and career moves. Yet mentorship is expensive, hard to schedule, and its quality varies. The prompt asks how we would improve the Scaler Academy mentorship experience for working professionals. I'll clarify, segment learners, map the mentorship journey, generate solutions, prioritise them and define metrics.

Step 1

Clarifying Questions (5 mins)

  • What is the business goal: learner outcomes, satisfaction, or cost efficiency?

  • Hypothetical answer: Learner outcomes and program completion, while keeping mentor costs sustainable.
  • Impact: Solutions must improve value per session, not just add more sessions.
  • How does mentorship work today?

  • Hypothetical answer: Learners get a fixed number of sessions per month with an assigned mentor, booked through the dashboard; sessions are 30–45 minutes over video.
  • Impact: Scheduling and preparation are likely friction points.
  • What problem has been observed?

  • Hypothetical answer: About 40% of learners use fewer than half their sessions, and satisfaction scores vary widely by mentor.
  • Impact: Two problems: under-use and inconsistent quality.
  • Who are mentors?

  • Hypothetical answer: Working engineers at product companies, part-time, paid per session.
  • Impact: Mentor time is scarce and their incentives matter.

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Updated Oct 31, 2026