Product design question
Lovable is building a multi-tenant identity service for millions of generated apps. What is the smallest MVP of authentication and authorization primitives you would ship in the first 6 months, which users would it serve first, and what would you explicitly defer to move fast without limiting the long-term platform?
- Lovable
- Product design
- Hard
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What this question tests
Tests ability to scope a minimal but non limiting identity platform MVP for a fast moving AI app generation product.
How to approach it
- Clarify who the first users actually are, likely solo builders shipping their first generated app rather than large enterprises.
- Define the smallest primitive set that unblocks real usage, for example email and social login plus basic session and simple roles.
- Explicitly defer what enterprise or multi tenant scenarios would need, such as SCIM or fine grained delegated access, without designing them out.
- Design the data model so tenancy and permissions extend later, scoping every record to an app and account even with one role at launch.
- Set a six month checkpoint metric, such as share of generated apps actively using the identity service.
What a strong answer includes
- Scopes the first users precisely as solo builders needing basic login, not a generic all users answer, which sharpens every later decision.
- Names concrete deferred items, like SCIM and delegated access, while explaining they are deferred, not abandoned, from the architecture.
- Protects the long term platform by baking multi tenancy into the data model early even though only simple roles ship first.
- Proposes a clear six month success metric to evaluate the MVP rather than treating the six months as an open ended build phase.
Common mistakes
- Building a bare bones MVP that has to be re architected later because tenancy was not considered from day one.
- Trying to include enterprise grade features like SCIM in the first six months, slowing the initial launch for a need most early users do not have.
Likely follow-up questions
- How would you validate that the deferred features are truly not needed yet?
- What would force you to pull enterprise features forward earlier than planned?
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More questions from Lovable
Learn the skill behind it
Chapters of the AI PM course that teach what this question tests.
- Chapter 4: Discovery and strategy for AI products
- Chapter 7: AI UX and human oversight: design for a system that is wrong sometimes
- Chapter 14: Get the job: the AI PM interview loop