Efficiency metrics for protocol research
Choose and explain metrics that survive scrutiny from data science and communications peers—without implying personal performance promises.
Tuition (informational): KRW 240,000
Description
Covers sampling, presentation ethics, and how to pair charts with narrative context. Explicitly avoids currency-symbol overlays and ticker-style visuals in assignments.
What is included
- Metric design workbook with peer review
- Office hours on responsible visualization
- Sample decks with critique rubrics
- Module on cloud cost ops parallels for infra teams
- Guest session with a metrics editor from a research journal
- Final lightning talk with structured feedback
- Resource list on reproducibility tooling
Outcomes
- Draft a metric definition doc with limitations called out.
- Give a five-minute talk using only approved visual idioms.
- Receive and integrate structured peer critique.
FAQ
Do we publish research?
Optional blog-style post on our private cohort channel; public publishing not required.
Data sets?
Synthetic and publicly donated samples only.
Math background?
Introductory statistics suffices; we link primers.
Notes from learners
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The efficiency metrics module reframed how we talk about dashboards—still enterprise software, still no hype charts in our decks.