Capability map.
This portfolio was built against the roles I am actually applying for. I analysed the target vacancies, extracted the recurring requirements, and designed each case study to produce observable evidence for a specific subset of them. This page shows the mapping — so you can judge the fit in one read, not by decoding project names.
Role names below are genericised. Specific postings are not reproduced.
The roles in scope
Role 01
L&D Specialist — industrial technology academy
Turns engineer/SME input into e-learning, classroom training and video; project-manages multiple programs; didactic advisor to internal teams.
Role 02
Didactic trainer — university teaching academy
Facilitates activating workshops for teaching staff (NL + EN), coaches lecturers, holds a vision on education and assessment, works on AI in education.
Role 03
Knowledge specialist / enablement — SaaS
Writes and improves knowledge articles and FAQs, supports onboarding and certification, monitors knowledge KPIs, contributes to AI-enabled knowledge management.
Role 04
Training specialist — logistics, EMEA
Delivers classroom and online systems training across countries, keeps materials current, coaches local trainers, prepares sites for change.
Role 05
Knowledge-sharing officer — government
Translates research into practical instruments and manuals, stewards a national knowledge platform, explores AI for knowledge dissemination.
The overlap
One profile: the translator
Every one of these roles converts someone else's expertise — an engineer, a professor, a product team, a process — into content others can act on, in multiple formats, with iteration and measurement around it. That is the thread this portfolio is built to prove.
Requirement → evidence
The recurring requirement families across the five roles, ranked by how often they appear, with the strongest portfolio evidence for each. Strength is my own honest grading of the current evidence, not a claim of professional experience.
Scenario-based learning design
Strong · in 5/5 roles via decision-focused design
Sixteen of the case studies are scored decision drills built on one evidence-based pattern: realistic moments, consequential choices, best/okay/worst feedback that names the principle, and a debrief that scores the decision pattern — not the luck. The wrong answers are professional-wrong, not straw men.
Cold-Chain Goods-In · Wind-Turbine Alarm Calls · Docent Conversations · Week-One Cashier
Assessment & measurement
Strong · named in 4/5 roles
Every case page pre-commits Kirkpatrick L1–L4 targets before the build — agreed-with-stakeholder style, not retrofitted. Builds demonstrate measurable assessment mechanics: a randomized 7-of-8 certification bank, keyword-scored annotations with over-flag penalties, a reason-audit debrief that scores the audit trail instead of the choices.
Cold-Chain Goods-In · Pharmacy Double-Check · AI Rostering · Learning Analytics
E-learning development & learning technology
Strong · core craft in 5/5 roles
26 self-contained interactive artifacts built end-to-end in vanilla JS — offline-first, keyboard- and mobile-aware, with an explicit e-learning integration path (xAPI/SCORM mapping documented for the certification module). Three artifacts use Three.js 3D where spatial understanding matters; most deliberately do not, because the objective is judgment practice, not visualisation.
Verify Before You Send (3D) · Facilitation Simulator (3D) · Cold-Chain (3D explainer + module) · Scene Budgeting
AI in learning & operations
Strong · explicitly named in 3/5 roles, implied in a 4th
Three case studies treat AI as the subject: verify-before-send habits for AI-drafted customer email (with the failure consequences shown), a 60-day adoption program moving 300 desk workers to governed weekly use, and human-in-the-loop judgment for AI-generated scheduling proposals — where the debrief audits your logged reasons, not your choices. Every artifact also discloses exactly how AI assisted its own production.
Curriculum & program design
Strong · named in 4/5 roles
A full onboarding-program blueprint organised around one metric (days to solo quality parity, 41 → 26), with phases derived from exit-data failure modes, checkpoint gates at d30/60/90, and another kit's certification module re-entering as a named, scheduled component — reuse by design, not recycling.
Knowledge management & documentation
Strong · core in 2/5 roles, supporting in 3
A searchable knowledge base built as a real product: article + FAQ bundle, live search with highlighting, zero-result queries logged to a working gap-radar panel — plus a handover-writing drill scored by whether a colleague at 22:00 can run the process without asking you anything.
SME capture & knowledge translation
Strong · the universal craft in 5/5 roles
The one skill every target role shares: turning an expert’s knowledge into something others can act on. Demonstrated end-to-end in one pipeline — a structured expert interview whose nine extracted requirements (critical tasks, misconceptions, vocabulary, constraints) each trace to the artifact they produced: a four-gate micro-module, a print floor manual in two languages, a KB article and a test protocol. Traceability is the interaction, not a diagram.
Facilitation & train-the-trainer
Moderate · core in 2/5 roles — designed, not yet filmed
Minute-level run-sheets, facilitator guides, observer rubrics and role-play structures exist as deliverables, and a playable 3D facilitation simulator demonstrates the delivery layer's decisions. What is missing: recorded live facilitation footage. The design work is evidenced; the room presence is not — yet.
Multimedia & video
Moderate · named in 2/5 roles — explainer built, NLE output not yet
A 90-second cinematic 3D explainer (six scenes, script, storyboard, sound design, EN/NL toggle) demonstrates story-first instructional video thinking. Adobe Premiere/After Effects output does not exist in this portfolio yet — the storyboard-to-build pipeline substitutes.
Where I would start per role
L&D specialist — industry academy
Craft-Dairy Process Training (SME interview → module → manual) → Cold-Chain Goods-In (certification + 3D explainer) → New-Hire Onboarding Program (curriculum).
Didactic trainer — university
Feedback Conversations (workshop + rubric) → Differentiation Practice (teacher PD) → Verify Before You Send (AI in education stance).
Knowledge specialist — SaaS
Craft-Dairy Process Training (interview capture + KB article + manual) → Launch-Day Enablement (KB + gap radar + KPIs) → Async Process Handover.
Training specialist — logistics
Craft-Dairy Process Training (print + floor-use + two-language) → Cold-Chain Goods-In (systems procedure) → Wind-Turbine Alarm Calls (safe judgment under pressure).
Knowledge-sharing officer — government
Craft-Dairy Process Training (research→practice instruments) → Async Process Handover → AI Rostering (AI for knowledge work).
Bilingual delivery
Dementia Communication ships its learner-facing artifact in Dutch with an English case narrative — one example of NL/EN delivery across the portfolio.
Honest scope — read before evaluating
All clients and organisations in the case studies are fictional composites, labelled as such on every page. All outcome numbers are pre-committed targets agreed "with stakeholders" in the design fiction — they are not field results, and no user testing with real learners has been conducted yet. AI assisted drafting throughout; every artifact discloses its AI use and what was authored by me. What is real: the designs, the builds, the documents, the scoring systems, and the instructional reasoning behind every choice. If a role needs recorded live delivery or client references, this portfolio does not fake it — that evidence would come from the job, not the application.