Design Google Docs
Real-time collaborative editing: many cursors in one document, every keystroke converging to the same text, offline edits merged on reconnect.
3 questions on this site are reported in Notion software engineer interviews. Each has a full reference design (requirements, back-of-envelope numbers, components, user flows and deep dives with interviewer follow-ups). Each one can be walked through turn by turn and then sat as a mock. Patterns covered: crdt, operational-transform, websockets, conflict-resolution, multiplayer, last-writer-wins, fractional-indexing, checkpoints, rag, vector-search, hybrid-search, permissions, multi-tenancy.
Run an AI mock Notion interview →One of these questions, run as a live round in that style, with a debrief at the end.
Attribution comes from public interview guides and candidate reports, not from Notion. It indicates where a question has been asked, nothing more.
Real-time collaborative editing: many cursors in one document, every keystroke converging to the same text, offline edits merged on reconnect.
500 k design files open at once, some with 200 people: objects converge live, cursors stream, and 300 MB files open in seconds.
An assistant that answers employees’ questions from their company’s documents, with citations, only from what each user may open, minutes after edits.
60 minutes, about 45 of them on one open-ended problem given as a rough spec, worked in a document editor of your choice with diagrams optional. Reported prompts include real-time editing of one document, a notification service and a data model for a set of requirements.
Treating the rough spec as complete. Notion encourages clarifying questions and candidates report the round leaning on data modelling, so pin down the requirements and justify the data model by the queries it serves before drawing services.
From public interview guides and candidate reports, and Notion’s own interview guidance where it publishes any. Not endorsed by Notion. Formats change; treat it as a prior, not a promise.
Large-company loops run 45 to 60 minutes, expect numbers, and spend most of the time on deep dives. Walk through a question to see how a strong candidate paces the hour, sit the same question as a mock until you can produce the requirements, the estimates and the design without looking, then read the interview framework guide for how to structure the hour. The other questions on the site teach patterns that show up in Notion interviews under different names.
Questions reported in Notion system design interviews include Google Docs, Figma and RAG System. Between them they test crdt, operational transform, websockets, conflict resolution, multiplayer and last writer wins. The reports come from public interview guides and candidate accounts, not from Notion, so practise the patterns rather than memorising one list.
60 minutes, about 45 of them on one open-ended problem given as a rough spec, worked in a document editor of your choice with diagrams optional. Reported prompts include real-time editing of one document, a notification service and a data model for a set of requirements.
Reports say the Notion round weighs 4 things. 1. Clarifying questions up front, which Notion encourages, to firm up the spec. 2. A data model and storage choice justified by the queries it has to serve. 3. On collaboration prompts: how concurrent edits to one document converge. 4. Design knowledge rather than diagrams: Notion says familiarity with drawing tools is not what it assesses. Treating the rough spec as complete. Notion encourages clarifying questions and candidates report the round leaning on data modelling, so pin down the requirements and justify the data model by the queries it serves before drawing services.
Practise the questions reported there out loud, under a 45-minute clock: requirements with numbers first, then estimates, a high-level design, and deep dives into the two or three hardest parts. Start with Google Docs: watch a strong candidate answer it turn by turn, then sit it yourself. Then cover the patterns the round leans on (crdt, operational transform, websockets and conflict resolution) with one more question each.