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I started with clarifying questions about user segments and SLA commitments, which felt right, but then I kind of rambled when it came to the actual decision criteria for new OS support.
Start by framing the migration as a risk-managed transition, not a binary switch, and emphasize that the existing stack must remain fully supported until the new stack is proven. Then outline a decision framework for adding new OS support that weighs customer demand, revenue impact, engineering cost, and strategic alignment. Close by tying your approach to Bloomberg's high-availability, data-driven environment.
Pro tip: Quantify the cost of supporting the legacy stack (e.g., engineering hours, incident rates) and the opportunity cost of delaying new OS support (e.g., lost deals, churn) to show you think in trade-offs, not absolutes.
Map all dependencies, SLAs, and customer commitments tied to the existing stack. Identify the critical paths and failure points that must be protected during migration.
Establish clear criteria for when the legacy stack can be deprecated (e.g., zero critical bugs for X months, migration completion for Y% of users). Communicate these to stakeholders to set expectations.
Gather data on customer requests, market trends, and competitive pressure for the new OS. Estimate revenue upside, cost to support, and strategic fit with product vision.
Use a scoring model (e.g., RICE) to compare new OS support against other roadmap items. Decide whether to add support now, later, or never, and document the rationale.
Create a phased rollout plan with clear milestones, success metrics, and rollback options. Keep customers and internal teams informed to maintain trust.
AI-generated suggestions, not part of the candidate's original notes. May be inaccurate — verify before relying on them.