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Scenario and Sensitivity Analysis Questions

Techniques for designing executing and interpreting scenario and sensitivity analyses to understand how changes in assumptions affect financial outcomes. Coverage includes designing base case upside and downside scenarios one way and multi way sensitivity testing stress testing key drivers running variance analysis against budgets or forecasts and projecting how operational metric changes cascade through income statement balance sheet and cash flow. Candidates should be able to model business changes such as price increases volume shifts cost reductions or inventory adjustments state and justify assumptions perform contribution margin reasoning interpret variances and communicate limitations implications and recommended actions.

HardTechnical
0 practiced
You have to compute sensitivity across 10 price levels and 10 volume levels for a catalog of 1M SKUs and surface the top 100 SKUs with highest downside risk on a dashboard. Describe an end-to-end solution covering data storage, pre-aggregation, compute strategy (e.g., distributed SQL, Spark), approximate ranking techniques, and dashboard implementation choices to keep UI latency < 3s.
EasyTechnical
0 practiced
You have a simple monthly income statement: Revenue $1,000,000; Variable Costs $600,000; Fixed Costs $250,000. Calculate the impact on EBITDA if price increases by 10% but volume stays constant. Show steps and identify what assumptions underlie this calculation.
EasyTechnical
0 practiced
What is a tornado chart in sensitivity analysis? Explain how to build one from a set of one-way sensitivities for the top 10 drivers, and why sorting by absolute impact is important. Include a short note on when a tornado chart can be misleading.
HardTechnical
0 practiced
Design a governance policy for scenario assumptions and modeling standards across the company. Include required metadata for each scenario (owner, date, rationale, version), testing/validation steps prior to approval, access controls for editing assumptions, periodic review cadence, and an incident process when models materially mis-predict outcomes.
MediumTechnical
0 practiced
Design an operational KPI alert that triggers when actual monthly revenue deviates from forecast by more than 10% for two consecutive months. Describe the detection query or logic, how to reduce false positives, notification channels, and required metadata (who owns the alert, escalation path).

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