The operational bottleneck that most often brings the training process in corporate academies to a standstill is the cost of preparing high-quality questions and curricula for assessment. When a new product launches or regulations change, HR professionals have to wait weeks to find question writers, allocate thousands of lira for royalties, and review question quality.
Worse still, questions prepared in a hurry either rely on rote memorization or fail to measure candidates’ actual knowledge because their distractors are flawed. Yet, in modern assessment, every question must be based on a specific difficulty level (easy, medium, hard), a pedagogical Bloom level, and the organization’s competency matrix .
Qulak, with its integrated AI Question and Curriculum Factory built into the platform, reduces this process from weeks to minutes.
3 Groundbreaking Steps of the Qulak AI Content Engine
1. Upload a Document
Upload a PDF user manual, regulatory text, Word document, or video transcript to the system.
2. Bloom Analysis
The AI scans the content in seconds and generates multiple-choice questions at the Remembering, Understanding, and Analyzing levels.
3. Automatic Tagging
Each generated question is linked directly to a micro-skill ID in the organization’s Learning Outcomes Module .
The Qulak AI Question Factory doesn’t just generate A-B-C-D options. It automatically writes pedagogical feedback explaining why each incorrect option is wrong and why the correct option is right . When an employee answers a question incorrectly in an exam, the system immediately provides an instructive explanation.
Manual Question Preparation vs. Qulak AI Content Engine
| Process Metric | Traditional Outsourcing / Manual | Qulak AI Content Factory |
|---|---|---|
| Preparation Time | 15–20 business days (waiting for experts, revisions). | 3 minutes (upload the document, approve). |
| Cost | High royalties and consulting fees per question. | No additional royalty costs; unlimited question generation. |
| Pedagogical Standard | Quality varies by author; rote-learning questions. | Aligned with Bloom’s Taxonomy, with a balanced distribution across 3 difficulty levels. |
| Learning Outcomes Integration | Questions and competencies are matched manually (risk of errors). | Automatic ID matching to learning outcomes in the text. |
Question Generation Budget and Time Savings Simulator
Calculate the days and budget you can save with Qulak AI based on your annual question bank needs.
Content Budget and Time Saved
Weeks of waiting and royalty expenses eliminated.
Turn Your Documents into Exams in Seconds
Upload your company PDF and see Qulak AI’s question sets aligned with Bloom’s taxonomy and distractor explanations for yourself in a live demo.
Try the AI Question Engine Live