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Outcomes and Progress Tracking Questions

Mindset and practices for defining success and tracking progress across projects programs and roles. Covers how to define measurable success criteria align work to objectives and key results and key performance indicators set baselines targets and guardrail metrics and choose appropriate review cadences. Includes team and agile measures such as velocity burndown cycle time sprint completion rates and capacity planning as well as program and product measures such as adoption usage business impact and technical health. Also addresses how to visualize progress with dashboards run regular tracking processes communicate status to different audiences and avoid misuse of metrics for punitive evaluation.

MediumSystem Design
0 practiced
Design guardrails and SLOs for a data pipeline that processes personally identifiable information (PII). Include measurable SLIs for data quality (field completeness), latency (time-to-availability), throughput, and a privacy guardrail (PII leak detection). Propose thresholds, alert severities, and escalation paths.
HardTechnical
0 practiced
Create a playbook for communicating metric regressions to different audiences (engineers, product, executives, and customers). For each audience provide message framing, required artifacts (graphs, impact tables, incident timelines), cadence for updates, and example templates for an initial notification and follow-up status updates.
HardTechnical
0 practiced
You are evaluating tools for outcomes tracking and dashboards across a portfolio. Build a rubric to decide between SaaS BI tools (Looker, Tableau), observability platforms (Datadog, Grafana Cloud), and a homegrown solution. Include criteria such as integration ability, latency, cost, customization, governance, TCO, vendor lock-in risk, and required team skills.
HardTechnical
0 practiced
A program aims to improve developer productivity by 15% measured via cycle-time reduction. Discuss the ethical and practical considerations of measuring developer productivity with metrics. Propose a balanced measurement strategy that avoids harmful incentives, and recommend interventions (tooling, process, org changes) that improve productivity while preserving well-being and code quality.
MediumTechnical
0 practiced
Write PromQL queries to (a) compute the 99th percentile request latency over a 5-minute window for a service exposing a histogram named 'http_request_duration_seconds_bucket', and (b) compute HTTP error rate (5xx) as a percentage of total requests over the same 5-minute window. Explain what labels to include to avoid misleading aggregations.

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