Product design question

Design a feature that helps users move from prototype to production-grade app.

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 for a critical maturity gap: helping AI-generated prototypes survive contact with real production needs.

Identify the gap: prototypes built quickly often lack proper error handling, security review, scalable database design, and monitoring needed for real users.
Design a 'production readiness' checklist feature that scans the generated app and flags gaps like missing input validation or unindexed database queries.
Offer guided upgrades: one-click fixes for common gaps, such as adding authentication, rate limiting, or backups, without requiring the user to understand the underlying code.
Add environment separation, letting users test changes in a staging version before pushing to the live production app.
Add monitoring and alerting so non-technical founders know when something breaks in production, not just at build time.
Define success as the percentage of apps that pass the readiness checklist before going live, and reduced post-launch incident rate.

Names specific production gaps (validation, indexing, backups, monitoring) rather than a vague 'make it production-ready'.
Proposes guided, one-click remediation appropriate for Lovable's largely non-technical user base.
Adds staging versus production separation, a standard and necessary safeguard for real launches.
Ties the feature to a measurable readiness score and post-launch incident rate.
Recognizes this bridges Lovable from a prototyping tool to a durable product platform, a meaningful strategic step.

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