Assessments you can stand behind, not just generate.
SayaLab analyzes your material before it writes a question, then independently validates every question against your learning objectives and the right Bloom's level before you ever see it.
30 to 43% of AI-generated questions need rewriting.
SayaLab validates yours first.
A company's quarterly revenue rose 12% while its profit margin fell. Which factor best explains both at once?
- AThe number of customers dropped sharply.
- BCost of goods sold rose faster than sales.✓ key
- CThe corporate tax rate was reduced.
- DPrices were raised across every product.
Most AI quiz tools skip the hard part.
They go straight from your text to questions, with no check that the material can even support your objectives, and no check that the questions land at the cognitive level they claim. So the questions cluster at recall, the wrong answers are easy to spot, and nothing maps back to what you set out to teach. You catch it in editing, which is why 30 to 43% of AI-generated questions get rewritten, and 23 to 38% carry item-writing flaws in the first place. The tool generated; you did the quality control.
We do the pedagogy before and after the question.
It reads your material first.
SayaLab extracts your learning objectives, maps which Bloom's levels the content can actually support, and flags where the material is too thin to assess. You confirm before a single question is written.
It validates every question independently.
A separate pass re-classifies each question's Bloom's level blind, verifies its alignment to your objective, scores its distractors for plausibility, and traces its answer back to your source. Weak questions regenerate automatically.
Bloom's level isn't a setting you pick. It's the evidence we verify on every question.
Four steps, and you are in control at each one.
Upload
PDF, DOCX, PPTX, text, or a lecture image. Your syllabus, slides, notes, or a photo of the board.
Analyze
Objectives, the Bloom's ceiling the content supports, and content sufficiency, surfaced for your review.
Generate
To your targets: question types, Bloom's distribution, and the objectives you set.
Validate
Every question checked for cognitive level, objective alignment, distractor quality, source alignment, and clarity.
This is what "validated" looks like.
Every question ships with its evidence: the objective it measures, the Bloom's level we verified, and how plausible its distractors are.
A company's quarterly revenue rose 12% while its profit margin fell. Which factor best explains both at once?
- AThe number of customers dropped sharply.
- BCost of goods sold rose faster than sales.✓ key
- CThe corporate tax rate was reduced.
- DPrices were raised across every product.
No tool that names "experts" actually shows you the check. SayaLab does: the evidence travels with every question.
Built for educators who have to stand behind the assessment.
Exams you can stand behind.
Aligned to your course objectives, defensible at the cognitive level you claim, in a fraction of the time.
For higher education→Constructive alignment, at scale.
Objectives, activities, and assessment that actually line up, validated across a whole curriculum, not one quiz.
For instructional designers→Competency-aligned, trusted.
Assessments mapped to the competencies your stakeholders signed off on, with the evidence to show it.
For corporate training→Trust the method, not the marketing.
How we validate
- Grounded in Bloom's taxonomy for cognitive level, not a label you pick.
- Built on Biggs' Constructive Alignment: objectives, items, and evidence line up.
- Distractor quality scored against item-writing research, so wrong answers are real misconceptions.
Simple pricing. Start free.
- ✓30 questions / 30-day cycle
- ✓Every question type, including essay
- ✓PDF, CSV, and JSON export
- ✓Full content analysis and validation
Everything in Free, plus:
- ✓300 questions / cycle
- ✓Annual saves roughly two months plus 20% bonus quota
- ✓QTI and Google Form export
- ✓Regenerate any question
Cancel anytime.
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