Audience: Support tier-1/2, Sales CSAs and partner resellers · Artifacts: 02-kb-bundle.html · 03-troubleshoot-flow.html (practice queue + reference tree) · 04-inapp-tour.html (tour + demo rehearsal) · 3d.html + kb-widget.js (3D streams) · shared data tickets-data.js · Case study: index.html
Fictional client: CargoDesk B.V., makers of the freight-booking platform CargoDesk. Scenario: CargoDesk ships Rate Guard, surcharge protection when fuel prices spike while a quote is open. Enablement must reach Support, Sales CSAs and 60+ partner resellers in launch week.
| File | What the learner does | How it is checked |
|---|---|---|
01-needs-analysis.md | — (design document) | — |
02-kb-bundle.html | Search five articles and the launch FAQ; zero-result searches are logged in the gap radar (on Enter or after a pause) | self-test: multi-word search, safe highlighting, gap logging |
03-troubleshoot-flow.html | Work a launch-week queue of nine tickets from three audiences: search the KB first, route through the triage tree, attach what an escalation needs; a reference tree for free exploration | 4 points per ticket (KB 1 · route 2 · discipline 1), 36 in total; pass 30, at most one needless escalation, no ticket closed that needed escalating; one critical ticket |
04-inapp-tour.html | Guided tour of the quote screen, then a rehearsal: arm, send, answer three customer questions | demo check /4; "demo-safe" at 4 |
05-adoption-plan.md | — (launch cadence, proposed KPIs, iterate loop) | — |
3d.html | The same queue as three streams into one KB reservoir, triage gates and an escalation tower; leaks show per audience | same scoring |
CargoDesk, its customers and resellers are fictional; product UI is a hand-built mock; the triage tree is plausible, not a real company's procedure; figures in the needs analysis are illustrative premises. English master; the two partner tickets carry an English gloss. Not piloted.
Part of I Wayan Usada's learning-design portfolio · all clients and scenarios are fictional composites built from realistic domain patterns · drafted with AI assistance and fully rewritten, fact-checked and owned by a human.
action-map.md — Action map — the behaviors the artifact must produce, traced to the business goalstoryboard.md — Text-based storyboard — revised to match the buildvisual-mockups.md — Visual mockups & style guide — mood, type, key screens, component decisions