Scope and Time Management Questions
Covers prioritization, time boxing, and communication strategies to manage limited time during design interviews, sprints, or engineering work. Topics include identifying core user flows versus edge cases, setting a minimum viable solution, planning and communicating what will be built within a time budget, explaining trade offs and next steps when work is incomplete, showing realistic time awareness and delivery sequencing, and demonstrating the ability to focus on high value deliverables under tight deadlines.
MediumTechnical
0 practiced
Problem-solving: Given this backlog table, compute WSJF (Weighted Shortest Job First) scores and return the prioritized order. Table columns: id, business-value (1-10), time-criticality (1-5), risk-reduction (1-5), job-size (story points). Example rows:1: (A, 8, 3, 2, 5)2: (B, 5, 5, 3, 2)3: (C, 7, 2, 1, 3)Show your calculation and final order.
EasyTechnical
0 practiced
Explain time boxing and how you'd apply it during a 2-hour design interview and a 4-day sprint. For each scenario, list the timebox lengths you'd choose, the concrete outcome for each box, how you track progress during the boxes, and the exact steps you take when a box ends but work remains.
HardSystem Design
0 practiced
Security hotfix process: Design a process for triaging and integrating urgent security fixes into planned sprints without derailing the roadmap. Include severity classification, branching strategy, test requirements, rollback strategy, and communication cadence to product and customers.
EasyTechnical
0 practiced
Define a Minimum Viable Product (MVP) for a new photo-upload feature. Provide a concise list of the smallest set of requirements you'd include in the MVP (frontend, backend, storage, validation) and explain why each is necessary. Also state what you'd explicitly defer to post-MVP.
HardTechnical
0 practiced
Post-mortem process: Design a blameless post-mortem workflow focused on surfacing scope and planning failures (not just bugs). Include what data to collect (estimates vs actuals, decisions made, assumptions), how to categorize root causes, concrete action ownership rules, and metrics to track improvement in estimation accuracy.
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