Candidate Assessment · One scoring engine
Don’t guess talent.
Beyond AI competency assessment, jobnest.ai runs general aptitude and coding tests — all scored on the same validated engine, so every candidate is comparable across every posting.
3test families+ custom tests per company
assessment builder
one engineGeneral aptitude test
Numerical · Abstract · Logical reasoning
AI competency assessment
Role-specific · Adaptive · Evidence-backed
Coding tests
Write manually or let AI generate
+ custom tests, built for your companyConfigure
1Most used · General aptitude
General aptitude, measured properly.
The strongest early signal of on-the-job success. We measure reasoning across several dimensions — independent of any language or tech stack — so you can compare every candidate on a level field.
Numerical reasoningProblem-solving with data, ratios and calculation.
Abstract reasoningPattern recognition and visual logic sequences.
Logical reasoningInference, conditionals and deduction.
Verbal reasoningReading comprehension and linguistic inference.
Speed & attentionAccuracy and focus under time pressure.
General Aptitude Assessment for Technology Internships
Candidates answer 20 of 35 questions.
Numerical reasoning
1Single choice
Vehicles A, B and C set off from the same point at 10, 15 and 25 m/s and drove for 5 hours without stopping. When A reaches B to help, what is the distance between the two drivers and vehicle C?
A
B
C
A385 km
B405 km
C425 km
D475 km
E495 km
Zeynep Karaca
AI competency report · Business Analyst
Proficient
72%
Eight competency dimensions24 questions · 24 min
CTECritical Thinking78%
ATAAI Tool Application66%
ACTAI Tech Understanding71%
REAEthical AI Use84%
WJDWorkflow Judgment62%
DLTData Literacy74%
HACHuman-AI Collaboration80%
ACLAdaptability69%
Proctored · 0 cheat signals · per-question AI feedback
2AI competency assessment
Measure how well people actually use AI.
Every company is going through an AI transformation — but no one can answer how well their people actually use it. We measure AI readiness across eight dimensions with scenario-based, academically grounded and proctored assessments.
Objective, role-based scoring across eight competency dimensions
Academic base: Bloom’s taxonomy & scenario-based items
Multi-layer cheat detection (proctoring)
Action-oriented report with per-question AI feedback
What we measure
Eight core skills for the AI era.
CTE
Critical Thinking & Evaluation
Questioning, verifying and judging AI output.
ATA
AI Tool Application
Choosing the right tool and using it effectively.
ACT
AI Concepts & Technical Understanding
A working grasp of how models actually work.
REA
Responsible & Ethical AI Use
Privacy, bias and responsible-use boundaries.
WJD
Workflow Judgment & Delegation
What to hand to AI, and what to keep for humans.
DLT
Data Literacy
Reading, interpreting and validating data.
HAC
Human-AI Collaboration
Working iteratively and productively with AI.
ACL
Adaptability & Continuous Learning
Fast adoption of new tools and ongoing growth.
Question types
Four question types, one goal: measure real skill.
01
Multiple Choice (Single Answer)
Conceptual understanding and knowledge check. One correct answer.
02
Multiple Select
More than one correct option. Measures detail and completeness.
03
Priority Ranking
Priority, decision and risk judgment. Rank items most- to least-critical.
04
Open-ended Prompt Writing
Candidate writes a prompt in a real scenario; AI grades it instantly.
Integrity & proctoring
Trustworthy results, multi-layer proctoring.
Every session is recorded with multi-layer cheat detection. Suspicious signals are flagged in the report — the decision always stays with you.
Webcam identity check
Multiple-face detection
Phone detection
Tab & window switching
Copy / paste attempts
Suspiciously fast answers
Virtual camera & frozen frame
Print & screenshot blocking
3Coding tests
Coding problems: write them, or let AI.
Add problems manually, or describe a role and difficulty and let AI draft one — every generated problem is automatically checked for soundness before it is saved.
Manual: write your own problem and test cases
Generate with AI: pick role + difficulty + language
Every generated problem is soundness-checked before saving
Multi-language support; solutions auto-evaluated
← BackNew coding problem
Generate with AIWrite manually
Role or topic
e.g. Backend Engineer, dynamic programming, string manipulation
Difficulty
Medium
Allowed languages
python ×java ×
Auto-checked for soundnessGenerate problem
Custom assessments
Not on the list? We’ll build it for your company.
Beyond the three families, we design custom-made tests around your roles, tools and values — scored on the same validated engine, so results stay comparable across everything you run.
Designed around your roles and tools
Built with your company values and scenarios
Scored on the same engine, stays comparable
Custom test blueprint
Test typeCustom-made
SourceCatalog + custom
Scoring engineShared
Integrity layerActive
Setup timeMinutes
Request a build
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Explore Jobnest.ai's AI interview experience.