Analysis to Recommendation and Decision Framing Questions

Ability to move from analysis to a concise, justified recommendation and a pragmatic plan for decision and implementation. Candidates should lead with a clear recommendation or conditional decision, support it with evidence and trade offs, quantify expected business impact, estimate effort and time horizon, and state assumptions and limitations. The skill set includes proposing prioritized action plans and alternative options, anticipating objections, defining monitoring and rollback strategies, translating technical remediation or risk into business terms and measurable success metrics, and tailoring recommendations to stakeholder needs and constraints.

EasyTechnical

0 practiced

When recommending a model trained on historical data for future deployment, list at least eight common assumptions and limitations you should explicitly state in your recommendation. For each item, include a sentence about how that assumption could be violated and what the consequence would be for the business metric.

EasyTechnical

0 practiced

You lead a team tasked with improving a fraud model where the business objective is to minimize monetary loss due to fraud while minimizing customer friction. Produce a prioritized action plan of 6 items that balances expected ROI, effort, and time to impact. For each item include a one-line justification and estimated time horizon (days/weeks/months).

HardTechnical

0 practiced

Your executive sponsor asks you to justify a large upfront investment to build a proprietary large language model instead of continuing to use a vendor API. Prepare a recommendation memo outline that includes expected ROI (with sensitivity analysis), estimated timeline and milestones, technical risks, talent needs, competitive advantage argument, and a fallback plan if ROI targets are not met.

MediumTechnical

0 practiced

You are asked to define an SLA for a real-time recommender that must serve 10,000 QPS. Propose SLA metrics (latency percentiles, availability, freshness, quality), measurement methodology, realistic numeric targets (e.g., p95 latency), trade-offs between accuracy and latency, and how you would enforce or make the SLA actionable for engineering and commercial teams.

MediumTechnical

0 practiced

After a product change, customer churn increased by 0.8 percentage points in the exposed group. Describe a plan to test whether the change caused the churn increase: include the statistical methods you would use (for example difference-in-differences, regression, or re-randomization), instrumentation or data you need, and how you would decide whether to rollback the change conditionally.

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