EduSphere: Interviewing + Competitive Analysis + Secondary Research

Customer Interviews:

  • Tutoring insights:
  • Tutoring quality varies a lot, even in high-pressure environments like Hong Kong; the best ones focus on concepts, not just test drills
  • Tutors often work without any formal training or curriculum support
  • Most sessions rely on physical notes or memory, which makes continuity difficult
  • Peer tutors and mentors want to help but lack tools to plan or track progress
  • Students value having someone to ask quick questions outside sessions but don’t have a good way to do that
  • Product vision implications:
  • Build lightweight progress tracking that both tutors and students can see
  • Include simple onboarding or goal-setting so tutors know what students want
  • Allow asynchronous check-ins or questions between sessions
  • Create reusable content templates or planning scaffolds for tutors
  • Centralize session notes, materials, and tasks so nothing gets lost across time or platforms
  • General Notes:
  • Students are self-driven but still need structure.
  • AI tools like ChatGPT are now a normal part of learning.
  • Switching between platforms creates friction and confusion.
  • Human connection keeps students motivated and accountable.
  • Poor platform design directly affects engagement.
    Students want one place to track all learning and progress.
  • Build a unified platform combining human and AI support.
  • Ground AI answers in verified class materials.
  • Simplify navigation with smart content organization.
  • Add “session memory” to retain progress between meetings.
  • Create shared dashboards for tutors and students.
  • Keep planning tools lightweight but flexible.

Raw Notes:

https://docs.google.com/document/d/1ga1_kGkB2vxc2nzwkyAh_gWKk1UAtx3mfPpBqt59AjM/edit?tab=t.vz8cbo6g4fqc

Secondary Research: 

Insight: Technology in schools is growing fast, but we need better ways to make it useful and supportive for teachers and students.

  • Schools are collecting a lot of student data from learning tools, but most of it isn’t helping teachers make real-time decisions.
  • This data could help personalize learning and support different student needs, but right now it’s mostly controlled by tech companies and hard for teachers to use.
  • Digital tools have made learning more personalized, but it’s still hard to balance screen time, student focus, and real classroom needs.
  • Most schools now have access to devices and the internet, so the challenge has shifted to using technology in thoughtful and effective ways.

Insight: Teachers identify useful/unuseful gaps in learning that EduTech can fill.

  • A tool that taps into a specific niche and enables a sort-of revamp of an already tried-and-true solution seems to be most well regarded. As one teacher said on /teaching subreddit, “Try gimkit. You have to make the quizzes yourself but it’s more competitive for the kids”. 
  • Critiques for EdTech from teachers include concerns around the onboarding and monitoring complications, especially with young children. 
  • If we can offer a solution that can help students stay focused rather than distracted from the primary teacher/tutor we are working with, we can offer a solution that addresses these teachers’ concerns.

Competitive Analysis

Insight: How AI use matters

  • Khan Academy’s focus on ethical, learning-first AI (Khanmigo) positions it uniquely in a market where competitors like Duolingo and Chegg face backlash for AI overreach or quality concerns.
  • Duolingo’s “AI-first” approach led to user backlash and content quality concerns.
  • Chegg is vulnerable to ChatGPT-style AI tools replacing its Q&A model; pivoting to AI is essential but risky.
  • Varsity Tutors is adding AI to human tutoring, focusing on personalized school interventions—a model Khan could explore via school districts.

Insight: Gamification drives engagement but risks shallow learning

  • Duolingo excels at user retention through gamification—badges, streaks, leaderboards—but struggles with depth and advanced learners. Khan Academy can capitalize by combining light gamification with deep, mastery-driven learning.
  • Duolingo boasts 10M+ paid users, largely due to addictive user experience.
  • Critics cite Duolingo’s lack of advanced content and depth.
  • Khan Academy already uses “Mastery Points”—could expand gamified layers without sacrificing rigor.

Insight: Content quality and brand trust are differentiators

  • Khan Academy’s nonprofit brand, expert-generated content, and universal access offer a distinct positioning compared to competitors criticized for inconsistent tutor quality, cheating support, or over-reliance on automation.
  • Khan Academy is recognized globally and trusted by educators, parents, and donors.
  • Chegg suffers from cheating-related reputational risks; many universities ban its use.
  • Varsity Tutors has complaints about tutor vetting and customer service.
  • Khanmigo is marketed as “patient, ethical, safe”—a value proposition missing in most AI edtech tools.
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