Instrumenting the Learning Loop
Tie qualitative insights to lightweight metrics so your team knows when a learning goal is actually met.
Tuition (informational): ₩610,000
5 weeks · cohort · Cohort
Overview
Metrics and experimentation with a qualitative spine. You build dashboards that avoid numeric overlays in executive decks while still honoring integrity of the underlying data.
What is inside
- Qual-to-quant bridging worksheet
- Sampling plans for small user bases
- Operational definitions doc template
- Review cadence for metric drift
- Plain-language quality standards for reporting
- Incident records tie-in for post-release reviews
- Peer review swap on metric definitions
Outcomes you can show
- Publish operational definitions engineers co-signed
- Retire one misleading ratio from leadership decks
- Run a review that caught metric drift before launch
Facilitator
Aiko Tan
Visiting instructor focused on telemetry narratives for lean data teams.
FAQ
Minimum data volume?
Helpful to have at least five hundred weekly actives, but we include small-sample guidance for earlier-stage products.
What we will not do?
We do not implement tracking code, set up warehouses, or certify numbers for external reviewers.
Honest gap?
If leadership demands single-number KPIs, parts of the course will feel confrontational. That tension is intentional.
Experience notes
“Operational definitions doc stopped our weekly arguments about activation. Peer review swap surfaced two sloppy event names.”