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Continuous Improvement and Operational Excellence Questions

Mindset methods and governance for ongoing process improvement innovation and scaling of best practices across teams and the organization. Topics include continuous improvement frameworks and disciplined problem solving such as Lean and Six Sigma, scanning for and prioritizing improvement opportunities, designing and running experiments, measuring and reporting outcomes, learning from failures, managing resistance to change, and scaling successful practices. Also covers operational excellence across functions including selection of enabling systems such as customer relationship management systems reporting dashboards and automation platforms, setting and tracking key performance indicators like cycle time time saved cost reduction error rate throughput customer retention and revenue impact, and building repeatable governance to sustain gains.

MediumSystem Design
0 practiced
Design a release health dashboard for product and engineering leadership. List the key widgets you would include, the data sources for each widget, how frequently each should refresh, and what alerting thresholds you would recommend to trigger action or escalation.
HardTechnical
0 practiced
You plan an A B test to detect a 5 percent relative reduction in error rate when the baseline error rate is 0.2 percent. Detail the statistical power analysis including required sample size for common alpha and power settings, and techniques to increase power such as variance reduction, stratification, or hierarchical models while mitigating customer risk.
MediumTechnical
0 practiced
Implement in Python a function that parses a directory of CI JSON log files and computes for each service: total successful deployments, mean successful build duration, and number of failed deployments in the last 30 days. Describe assumptions about log schema and performance considerations for very large log volumes.
MediumTechnical
0 practiced
Design instrumentation and metrics to evaluate the impact of replacing a legacy client library on customer error rates and revenue. Describe event design, key metrics, segmentation strategy, attribution approach, and how you would implement guardrail metrics.
MediumTechnical
0 practiced
Explain process capability metrics Cp and Cpk and describe how you would apply them to deployment lead time data to assess whether the release process meets a target service time window. Include data preparation steps and interpretation of results.

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