Q1
Walk us through how you would define success metrics for a new adaptive learning feature in an LMS platform. What data would you track, and how would you distinguish between vanity metrics and actionable KPIs?
Why they ask this:* They're assessing your ability to think analytically about product impact in an education context, understand learning outcomes measurement, and use data to drive decisions—critical for EdTech PMs.
Q2
Describe your experience with educational data standards and interoperability (e.g., xAPI, LTI, SCORM). How have these influenced your product roadmap decisions?
Why they ask this:* EdTech PMs must navigate complex technical and compliance requirements specific to education. This reveals whether you understand the ecosystem constraints and can translate them into product strategy.
Q3
How would you approach building a feature roadmap that balances the needs of multiple user personas in education (teachers, students, administrators, parents)? Walk us through your prioritization framework.
Why they ask this:* Education products serve diverse stakeholders with competing needs. They want to see if you can use frameworks (RICE, Kano, Value vs. Effort) to make defensible prioritization decisions across complex user landscapes.
Q4
Explain how you would design a product audit for an EdTech platform struggling with low teacher adoption. What specific areas would you investigate, and what tools or methodologies would you use?