QA Drill — QA & ISTQB CTFL Study App

Problem

After years of hands-on QA work, theory gaps remain: terminology, test design techniques, and the exact framing ISTQB CTFL questions expect. Generic quiz sites are scattered, rarely bilingual, and don’t schedule review around what you actually get wrong.

Role & Contribution

I designed and built QA Drill end to end with AI assistance: the learning objective map, the original study notes, the question bank design, the scheduling logic, and the test suite. I reviewed and validated all content myself.

Solution

QA Drill is a dependency-free web app (plain HTML, CSS, and JavaScript) served from its own subdomain. The learning app is static; an optional small Node API adds email-and-password accounts so progress syncs across devices. It maps the CTFL learning objectives to original notes and bilingual questions (multiple choice, true/false, short answer), and offers spaced-repetition practice, a timed 40-question mock exam with per-chapter distribution, a term flashcard deck, and a study plan counted back from the exam date. Short answers are graded by keyword matching with no AI, and the final judgment stays with the learner. Progress is stored in the browser and, for signed-in learners, merged across devices without losing work from either one; export and import remain available. All content is original and links to the official ISTQB syllabus.

Impact

Turns a vague study goal into a daily routine, and doubles as a working example of QA thinking applied to a product: pure grading functions covered by automated tests, validated data at load, and safe DOM rendering.