“Module 2 forced us to delete twelve redundant plugin events. Painful for a week, quieter dashboards forever after.”
Flagship · 6 weeks · live + async
Adoption Signal Lab
A hands-on course in application analytics for plugin adoption tracking — from first event to the readout that decides whether a plugin earns another quarter of investment.
What you will leave with
- A written adoption definition tailored to your plugin type
- An event dictionary with owners, versions, and deprecation rules
- Dashboards that separate installs, activation, and habit formation
- A stakeholder memo template that includes known blind spots
- Peer critiques from other marketplace and platform teams
Informational pricing
₩890,000 / learner
Team seats (4+) and employer invoicing available. No checkout on this site — request enrollment via contact.
Request a seatModules
Module 1 — Naming the journey
Install, first value, and “kept” states for plugins that live inside host apps. Includes a limitation lab: why day-1 activation lies for rare-use tools.
Module 2 — Event contracts
Property design, identity stitching across host and plugin contexts, and how to version without breaking historical cohorts.
Module 3 — Retention windows
Choosing windows that match plugin rhythm — creative tools vs. compliance plugins — and communicating the tradeoffs.
Module 4 — Funnel honesty
Drop-off diagnosis without theatrical dashboards. Practice annotating releases, outages, and marketing spikes.
Module 5 — Readouts that decide
Write and present adoption narratives for product councils. Peers score clarity, not polish.
Module 6 — Capstone clinic
Bring your live catalog. Instructors and classmates stress-test your metrics before you show leadership.
Instructor
Mira Song
Former platform analytics lead for a Busan marketplace serving KR and JP publishers. Mira designs curricula that refuse vanity metrics and still keep executives engaged. She teaches in English with KST office hours.
Learner notes
The retention window exercises were useful, though the homework assumes you already have warehouse access — we had to wait on IT for days before finishing Module 3.
FAQ
Do I need a specific analytics stack?
No. Examples reference common warehouses and product analytics tools, but assignments are stack-agnostic as long as you can export event samples.
Is there a real limitation I should know about?
Yes. Adoption Signal Lab does not cover mobile SDK crash telemetry or ad attribution. If your “plugin” is primarily a paid acquisition channel, this syllabus will feel incomplete — choose Instrumentation Walkthroughs instead.
How live is “live”?
Two 75-minute sessions per week in KST evenings, plus async critiques. Recordings stay available for 90 days after the cohort ends.
Can my whole team join?
Yes. Team seats share a Slack-style channel (or your preferred tool) and a private readout rehearsal. See pricing tiers for seat packs.