Product design question

Build a Google product that enables people to learn new skills.

Practice this question out loud. An AI interviewer asks it, follows up like a real interviewer would, and scores your answer. Type or speak.

What this question tests

Product design combining learning science with a concrete distribution and engagement mechanism.

Define the user: someone motivated to learn a specific skill but time-constrained and prone to dropping off without structure.
Identify the core pain point: existing courses are long, unstructured, and hard to fit into daily routines.
Prioritize a bite-sized, habit-forming format over a comprehensive course library, since consistency matters more than content depth for retention.
Design the core loop: daily 5 to 10 minute lessons, a streak mechanic, and applied micro-projects tied to real goals.
Leverage Google's advantage: integrate with Search and YouTube to surface relevant, verified learning content and reduce content creation cost.
Define success metrics: daily active learners, streak length, and skill-completion rate.

Names a specific mechanic, like a Duolingo-style streak plus spaced repetition, rather than a vague 'engaging learning experience.'
Explains why leveraging Google's existing content graph (Search, YouTube) is a real distribution advantage over a from-scratch content library.
Gives an illustrative metric, e.g. 30-day streak retention of 25%, marked as an assumption to track cohort health.
Considers monetization path, like a premium tier for certified skill paths, without over-indexing on it in v1.

Designing a generic MOOC clone instead of leveraging Google's unique content and distribution assets.
Focusing on content breadth instead of the habit and completion problem that kills most learning products.

Chapters of the AI PM course that teach what this question tests.