Data Driven Decision Making Questions

Using metrics and analytics to inform operational and strategic decisions. Topics include defining and interpreting operational measures such as throughput cycle time error rates resource utilization cost per unit quality measures and on time delivery, as well as growth and lifecycle metrics across acquisition activation retention and revenue. Emphasis is on building audience segmented dashboards and reports presenting insights to influence stakeholders diagnosing problems through variance analysis and performance analytics identifying bottlenecks measuring campaign effectiveness and guiding resource allocation and investment decisions. Also covers how metric expectations change with seniority and how to shape organizational metric strategy and scorecards to drive accountability.

HardTechnical

0 practiced

A company rolled out a significant price change without an experiment. As a BI Analyst, design an analysis to estimate the causal impact of the price change on sales and revenue using quasi-experimental techniques. Describe at least two different methods, their assumptions, diagnostics you would run, and how you'd present uncertainty to stakeholders.

EasyBehavioral

0 practiced

Tell me about a time when you built a dashboard or report that materially changed a business decision. Describe the context, your role, how you defined and validated the metric, how you presented the insight to stakeholders, and what the business outcome was.

MediumTechnical

0 practiced

Explain the difference between correlation and causation. For BI use cases, describe three quasi-experimental methods—difference-in-differences (DiD), regression discontinuity (RD), and synthetic control—explaining the core assumption for each and give a concrete business scenario where each method is appropriate.

MediumTechnical

0 practiced

Given an orders_events table:

orders_events(
  order_id bigint,
  stage text, -- e.g., 'ordered','picked','packed','shipped','delivered'
  stage_ts timestamp
)

Write a SQL query (Postgres) that computes the median time between each pair of consecutive stages per day, and returns the top 5 stage-pairs with the highest median delay over the last 30 days.

HardTechnical

0 practiced

You need to establish a single source of truth for metric definitions across decentralized business units. Propose a governance model (roles, approvals), metric registry schema, technical enforcement mechanisms (semantic layer, protected views), onboarding and change-control processes, and how to measure trust and adoption.

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