Managing Technical Investment vs. Feature Velocity Questions
Specific examples of how you've balanced shipping new features with investing in infrastructure, refactoring, security, and reliability. How you build business case for technical work, communicate necessity to product teams, and negotiate balanced roadmap.
MediumSystem Design
0 practiced
Design a minimal observability plan for 200 critical BI ETL pipelines and their downstream dashboards to detect regressions affecting business metrics. Include key metrics to collect, logging/tracing strategy, alerting rules, SLOs, ownership model, and a plan to prevent alert fatigue.
EasyTechnical
0 practiced
Explain Weighted Shortest Job First (WSJF) prioritization and apply it to two BI initiatives: A) Sales dashboard (value 8, duration 2 weeks), B) Pipeline reliability (value 10, duration 6 weeks). Show the calculation and state which one you would prioritize and any BI-specific caveats.
MediumTechnical
0 practiced
A BI engineer proposes denormalizing a data mart to reduce query joins (from 4 joins to 1). The dashboard median load time is 6s today and engineering estimates query time could be reduced by ~60%. Estimate the new dashboard load time, state your assumptions, list risks, and explain how you'd measure success after the change.
HardSystem Design
0 practiced
Design an alerting and escalation policy for BI SLOs such as: pipeline success rate >= 99.9% per day and dashboard freshness >= 95% within SLA. Include concrete alert thresholds, who to notify at each severity, escalation timings, incident playbook steps, and how the policy ties to SLAs for product teams.
HardTechnical
0 practiced
Case: A key revenue dashboard showed inflated numbers for 24 hours before a product release, causing incorrect executive decisions. Walk through immediate incident response actions, stakeholder communications, root-cause analysis steps, short-term mitigations, and long-term investments you would propose to prevent recurrence. Be specific about BI roles and responsibilities.
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