Product design question
Design Glean’s end-to-end first-run developer experience for a team integrating with its APIs, SDKs, and MCP-based interoperability. Start from sign-up and auth, then walk through sandbox or test data, first successful call, SDK setup, error handling, rate-limit behavior, and documentation. What would you optimize for, and what tradeoffs would you make?
- Glean
- Product design
- Hard
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
Tests designing a full first-run developer journey end to end, from sign-up through a first production-relevant success, and making explicit tradeoffs about what to optimize.
How to approach it
- Sign-up and auth: minimize friction with self-serve API key generation for a sandbox environment, deferring enterprise SSO and formal procurement steps until a team is ready to move beyond testing.
- Sandbox and test data: provide realistic, pre-populated sample data and a scoped test tenant, so developers can make a meaningful first call without needing their own enterprise data connected yet.
- First successful call: optimize for a working call within minutes using copy-paste quickstart code in the SDK's primary language, showing a real search or assistant response, not a toy example.
- SDK setup and error handling: ship SDKs with clear, actionable error messages tied to documentation links, and sensible retry defaults, so early errors don't stall a developer's momentum.
- Rate-limit behavior: default sandbox limits should be generous enough that testing doesn't hit walls, with clear, predictable messaging when limits are approached, not a silent failure.
- Documentation: prioritize a short, example-driven quickstart over exhaustive reference docs for the first-run path, and link deeper reference material for when developers are ready to go further, optimizing for time-to-first-success over completeness.
What a strong answer includes
- Sequences the journey to optimize for a fast first working call using sample data, deferring enterprise setup friction like SSO to later in the funnel.
- Prioritizes example-driven quickstart docs over exhaustive reference material for the first-run path specifically, an explicit tradeoff for speed over completeness.
- Sets generous sandbox rate limits with clear messaging, recognizing that hitting a wall during first exploration kills momentum disproportionately.
- Ties error messages directly to documentation, reducing the need for developers to leave the flow or file a support ticket.
Common mistakes
- Requiring full enterprise setup, like SSO or real data connections, before a developer can make any test call.
- Leading with exhaustive reference documentation instead of a fast, example-driven quickstart for first-time users.
- Setting sandbox rate limits so tight that normal exploration triggers failures, creating a bad first impression.
Likely follow-up questions
- How would you measure whether this first-run experience is actually working?
- What would you change for a developer coming through a partner integration instead of direct sign-up?
More product design questions
- How would you improve Glean's enterprise search relevance across 100+ connectors?Glean · Product design · Hard
- Design a permissions model so Glean never surfaces documents a user shouldn't see.Glean · Product design · Hard
- Design an onboarding flow that gets a new employee productive with Glean on day one.Glean · Product design · Medium
- How would you let non-technical employees build their own Glean agents?Glean · Product design · Medium
- A Fortune 500 admin wants employees to use Glean agents with GitHub, ServiceNow, and Zendesk, but their security team will only approve launch if they can prevent data leakage, over-permissioning, and unsafe write actions. Design the minimum viable governance controls and the admin/end-user experience you would ship for v1, and explain what you would defer to keep adoption high.Glean · Product design · Hard
- Partner developers integrating Glean with tools like ServiceNow, Zendesk, GitHub, and Microsoft Teams keep filing tickets about webhook reliability and confusing API behavior. How would you isolate whether the main problem is API design, SDK abstractions, documentation, operational reliability, or partner-specific complexity, and how would you prioritize what to fix first?Glean · Product design · Hard
More questions from Glean
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