Risk, Issue, and Dependency Management Questions

Proactively managing what can go wrong: identifying and assessing risks, mitigation and contingency planning, the RAID framework, and resolving cross-team dependencies and critical-path threats. Covers diagnosing emerging issues in scenarios and recovering a project that has hit a blocker.

HardTechnical
33 practiced

Propose a scalable system to track and communicate cross-team dependencies and risks across 20 teams during quarterly planning. Define the data model (fields such as owner, impact, timeline, mitigation), recommend tooling (lightweight vs heavy), meeting cadences, role responsibilities, and automated alerts or SLAs to reduce surprise blockers.

EasyTechnical
28 practiced

During sprint planning you see a task 'Integrate payments SDK'. Enumerate the technical and non-technical dependencies you would surface (e.g., commercial terms, API keys, test accounts, backend contracts, ops runbooks, compliance checks), name who to contact for each dependency, and explain how you'd annotate the ticket to avoid the team being blocked mid-sprint.

MediumTechnical
44 practiced

You're coordinating mobile, backend, and analytics teams to deliver a new event-driven feature. List the clarifying questions you would ask each team, state which central artifacts you would create (API contracts, event schemas, timelines), and explain a sequencing strategy that reduces integration risk and allows parallel work where possible.

HardSystem Design
30 practiced

Design a lightweight process to manage cross-team dependencies for a platform team that serves 12 feature teams. Your process should minimize blocked work, clarify ownership, include tooling or artifacts, and scale without heavy ceremony. Describe roles, artifacts (dependency board, API contract), cadence, and escalation paths.

MediumTechnical
54 practiced

How would you run a pre-mortem session with product and engineering before deciding to ship a risky change? Outline participants, facilitator steps, example failure scenarios, detection signals, rollback triggers, owners, and example outputs (e.g., runbook, rollback checklist) that would influence your go/no-go decision.

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