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Volume 3 · Chapter 12 · Case Study · Product Strategy & Delivery

Product Discovery & Product Strategy

Validating an AI-Enabled EdTech Vision

Market research, personas, jobs-to-be-done analysis, customer journey mapping, and opportunity assessment informed the product strategy for an AI-enabled EdTech platform, validating the product vision and prioritizing a focused MVP before a single line of the build began.

Context
YourClass — Founder, Product Discovery
Period
2026 – Present

Business Challenge

An early product concept for an AI-enabled learning platform, combining subject-proficiency diagnostics with psychometric and personality assessment, needed to be validated against real user needs before committing engineering resources to a full build.

Approach

Discovery combined qualitative and structural methods: understanding what learners and their guardians were actually trying to accomplish (jobs-to-be-done), mapping how that need moved through a realistic customer journey, and assessing which opportunities were both valuable and buildable within a reasonable MVP scope.

  • Market research and persona development for the target learner and guardian segments
  • Jobs-to-be-done analysis to separate genuine need from feature wish-lists
  • Customer journey mapping across diagnostics, assessment, and reporting
  • Opportunity assessment and roadmap planning to sequence what shipped first

Outcome

  • A validated AI-enabled EdTech product vision grounded in real user research rather than assumption
  • A prioritized MVP scope covering subject-proficiency diagnostics, Big Five–based personality assessment, and synthesis reporting
  • A roadmap sequencing that pushed personalization and analytics features to a later phase, keeping the initial build achievable

Exhibit 12.1

Illustrative product roadmap from discovery through scale

Lessons learned

  • Personality assessment via Big Five, with MBTI and DISC treated as derived views rather than separate measurement layers, turned out to be a simpler and more defensible architecture than trying to support three parallel frameworks.
  • The MVP scope shrank twice during discovery, both times because a "must-have" feature turned out to serve the product's story more than an actual user need.

Consultant's note

"Building assessment products taught me to be suspicious of my own excitement. The features I was most eager to build were consistently not the ones the jobs-to-be-done interviews actually supported. That gap is worth building into any product discovery process as a standing check."

Skills demonstrated

  • Product Discovery
  • Persona Development
  • JTBD Analysis
  • Roadmap Planning

Part of Volume 3Delivery Excellence, Product Strategy & Enterprise Transformation.