Product design question
Design an onboarding experience for a non-technical founder building their first app on Lovable.
- Lovable
- Product design
- Easy
Practice this question out loud. An AI interviewer asks it, follows up like a real interviewer would, and scores your answer. Type or speak.
Start a mock interview on this question · Mock interview from a job description
What this question tests
Onboarding design for a non-technical founder, someone with real product intent but no coding background or vocabulary.
How to approach it
- Define the user precisely: a founder with a business idea, likely unfamiliar with terms like 'component', 'database', or 'API'.
- Identify the biggest early risk: technical jargon or an intimidating blank editor causing immediate drop-off.
- Design an intake flow using plain-language questions about their business idea rather than a code-oriented prompt box.
- Translate the founder's answers into a working first draft app automatically, then show it in a live preview, not code, by default.
- Provide guided next steps in business language ('add a signup form', 'connect payments') rather than technical terms.
- Define success metrics: percentage of new founders who reach a shareable, working app in their first session, and time to that milestone.
What a strong answer includes
- Explicitly designs the language and flow around a non-technical vocabulary, not just a simplified version of the developer flow.
- Defaults to showing the live preview rather than code, since code is meaningless to this persona.
- Frames next-step suggestions in business terms, which is a specific and testable design choice.
- Defines time-to-first-working-app as the key onboarding metric, appropriate for a build tool.
- Considers a guided intake (structured questions) over a blank prompt box to reduce the founder's cognitive load.
Common mistakes
- Reusing a generic developer onboarding flow with only cosmetic simplification.
- Showing code by default, which is meaningless and intimidating to this persona.
Likely follow-up questions
- What would you do if the founder's first idea did not translate well into an app?
- How would you measure whether they truly understood what was built?
- How would onboarding differ for a technical co-founder joining later?
More product design questions
- Design a feature that helps users move from prototype to production-grade app.Lovable · Product design · Hard
- Users can generate an app quickly with AI, but many struggle to make precise edits to layout, typography, and theming afterward. How would you identify which visual editing workflows to improve first, and what would the first shippable slice be?Lovable · Product design · Hard
- You own the first version of Lovable’s theming and design system experience. What product principles and core requirements would you define so users can get polished, consistent output by default while still having room to experiment?Lovable · Product design · Hard
- Lovable serves both non-designers who want the AI to make visual decisions for them and advanced users who want fine-grained control. How would you design the experience so automation helps beginners without making experts feel constrained, and where would you draw the line in v1?Lovable · Product design · Hard
- Lovable wants apps and agents to act programmatically on behalf of users across API, CLI, SDK, and MCP surfaces. How would you define the first product model for non-human identities, such as service accounts, agent identities, scopes, consent, auditability, and revocation, so that permissions remain understandable and controllable for builders and admins?Lovable · Product design · Hard
- You cannot build everything at once. How would you prioritize among OAuth/OIDC login, RBAC foundations, enterprise SAML/SCIM, and delegated access across three audiences: solo builders, enterprise admins, and end users of Lovable-built apps? Walk through your prioritization framework, sequencing, and key tradeoffs.Lovable · Product design · Hard
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