KPI Frameworks and Governance Questions

Design and governance of metric hierarchies and key performance indicator frameworks that translate business goals into measurable outcomes. Topics include creating tiered frameworks and KPI trees that roll product and team level metrics up to company objectives, defining a north star metric and supporting metrics, aligning metrics with objectives and key results, setting targets thresholds and guardrails, and establishing metric standards ownership and governance to prevent gaming. Also covers mapping KPIs to functional outcomes such as awareness consideration conversion and retention, deciding cadence and visualization for reporting, building repeatable frameworks for scaling metrics across teams, and handling competing metric definitions.

MediumTechnical

0 practiced

Design how metric lineage should be represented inside a data catalog so that when a source table changes you can query 'which metrics are impacted'. Provide table schemas (metadata tables) and sample SQL to produce a list of impacted metric_ids given a changed table name.

EasyTechnical

0 practiced

Discuss responsibility models for metric ownership and governance. Compare a centralized metrics team versus a federated ownership model for a 500-person company with 20 product teams. For each model provide pros/cons and propose a hybrid approach that addresses both consistency and team autonomy.

MediumTechnical

0 practiced

Write a PySpark snippet that estimates unique daily users (DAU) using HyperLogLog (approximate distinct) and discuss acceptable error bounds, when approximate methods are preferable, and how to validate the approximation against exact counts on sample days.

HardTechnical

0 practiced

Propose a cost-optimization plan for a KPI processing pipeline that currently scans petabytes per month in the data warehouse. Include practical levers: partition pruning, clustering, materialized views, incremental processing, sampling, and lifecycle policies. Quantify (roughly) the trade-offs between cost and freshness/accuracy where applicable.

MediumSystem Design

0 practiced

Design an API for accessing metrics programmatically. Include endpoints to: retrieve metric metadata (definition, owner, versions), fetch metric aggregates for a date range and dimension filters, and get lineage for a metric. Specify authentication/authorization considerations and caching strategies to support dashboard load without overloading compute.

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