For current employees
Make your employees' AI skills measurable
Companies buy AI licenses, provide training and communicate an AI-first direction. Yet one question remains: How well does my team actually use AI? Jobnest.ai measures office employees' AI readiness across eight dimensions with research-informed, role-based and proctored assessments.
Research-informed methodology · Proctored assessments · Turkish-language support
AI is everywhere. Measurement is missing.
According to the Turkish AI Initiative's AI research, 33% of organizations in Türkiye run five or more AI projects. Investment is growing, but many organizations lack objective, role-based evidence of how effectively employees use AI at work. Training budgets are allocated without that evidence.
Measure. Discover. Develop.
Measure
Assess eight skill dimensions with scenario-based questions balanced across Bloom's taxonomy.
Discover
Look beyond surface-level knowledge with proctoring signals, a competency profile and AI feedback for individual questions.
Develop
Use reports alongside your ATS and HR systems to inform action plans and training decisions.
Use cases for your existing team
Establish an AI skills baseline
Measure your team's current AI readiness on a shared scale.
Map skills by department
See which dimensions each department needs to strengthen, from sales to finance.
Plan training by role
Direct training priorities and L&D budgets toward identified gaps instead of assigning everyone the same course.
Inform individual development plans
Give each employee's development plan a measurable starting point.
Track progress over time
Reassess after training to follow changes in skills.
How it works
- Assign assessments. HR assigns the Core AI Skills baseline and one or more specialist tests suited to the employee's role.
- The employee completes the tests. Four question formats use real workplace scenarios, with proctoring throughout the session.
- AI evaluates responses. Responses, including open-ended prompt writing, receive question-level evaluation and explanations.
- Review the report. Examine an executive summary, an eight-dimension competency profile and proctoring signals.
- Take action. Set training priorities and follow progress through periodic reassessment.
Eight AI skill dimensions
- Critical thinking and evaluation
- AI concepts and technical understanding
- Applying AI tools
- Responsible and ethical AI use
- Workflow decisions and task delegation
- Data literacy
- Human–AI collaboration
- Adaptability and continuous learning
Each assessment weights these dimensions according to role and seniority.
Four question formats for practical skills
| Question format | What it measures |
|---|---|
| Multiple choice, one answer | Conceptual understanding and knowledge |
| Multiple selection | Attention to detail and completeness |
| Ranking by importance | Prioritization, decisions and risk assessment |
| Open-ended prompt writing | Prompt writing in a real work scenario, evaluated by AI |
Assessments by department and role
Baseline: Core AI Skills
A shared foundation for every role and department, covering all eight dimensions. 24 questions, approximately 24 minutes.
Specialist assessments
- Business functions: Sales, Marketing, Customer Success, Finance, HR, L&D and Operations
- Leadership and industry: Leadership and Management, Banking Business Analyst
- Technical roles and tools: Frontend Developer, Backend Developer, AI Ecosystem, Microsoft Copilot and Claude Cowork
Build on the baseline with more than 15 specialist areas and assessments that can be tailored to your organization.
A methodology grounded in research
Competency model
Consistent measurement across eight areas that supports comparisons between roles (McClelland, 1973; Spencer & Spencer, 1993).
Bloom's taxonomy
Questions span six cognitive levels: remember, understand, apply, analyze, evaluate and create (Bloom, 1956; Anderson & Krathwohl, 2001).
Scenario-based design
Assess applied decisions in workplace situations rather than abstract knowledge alone (Lave & Wenger, 1991; Wiggins, 1990).
Psychometric checks
Systematic checks address option quality, answer-position distribution, bias and mapping to multiple competencies (Haladyna, Downing & Rodriguez, 2002).
Proctoring to support reliable results
Sessions record multiple proctoring signals. Reports flag suspicious activity for your review, while the decision remains with your team.
- Webcam-based identity verification and face detection
- Multiple-face and phone detection
- Detection of tab switches, window changes and leaving fullscreen
- Copy/paste, print and screenshot restrictions
- Flags for unusually fast responses
- Virtual-camera and frozen-frame detection
Reports that support action
- Executive summary: Readiness, overall patterns and a summary score
- Competency profile: A visual view of eight dimensions, strengths and gaps
- Proctoring signals: Outcomes and event counts for each signal
- Question-level review: Scores, correct answers and AI explanations
Integration
Integration with your ATS and HR tools within one week. View results alongside the employee profile.
Turkish content and data protection
Localized content and disclosure notices support Türkiye's KVKK requirements. Employees receive information before webcam proctoring, and results are accessible only to authorized HR and management roles. See our privacy policy.
Looking for recruitment assessments?
Use the same competency model for candidates with assessment tests. For first-stage screening, explore AI interviews. Asset tracking, leave management and travel expense management are part of Employee Management.
Frequently asked questions
What is an employee AI skills assessment?
It measures how effectively, accurately and responsibly existing employees use AI at work through role-based workplace scenarios. Jobnest.ai covers eight competency dimensions.
Which roles have assessments?
Everyone can take the Core AI Skills baseline of 24 questions in approximately 24 minutes. Specialist assessments cover sales, marketing, customer success, finance, HR, L&D, operations, leadership, banking business analysis, frontend and backend development, and tools such as Microsoft Copilot.
How do you support reliable results?
Sessions record multiple proctoring signals, including face, multiple-face and phone detection, tab and window changes, copy/paste restrictions, unusually fast responses and virtual cameras. Reports flag suspicious signals for HR review.
How does this differ from candidate assessment?
It uses the same competency model, but focuses on the existing workforce's AI skills baseline, training priorities and development over time. For hiring, see our candidate assessment tests.
How is employee data handled?
The platform provides localized content and disclosure notices for Türkiye's KVKK framework. Employees are informed before webcam proctoring, and only authorized roles can access results.
Map your team's AI skills
Choose a department and explore a sample assessment and report with us in a demo.
Practical guides and research
How to Conduct Employee Skills Analysis: Traditional and AI-Powered Methods (2026 Guide)
We compare traditional competency analysis methods side by side with AI-powered approaches, weighing the pros and cons of each. A practical guide for HR professionals.
Enterprise AI Skills Assessment Platform Selection Guide: 7 Critical Criteria + Comparison Table
We break down the criteria to evaluate when choosing an enterprise AI skills assessment platform, common pitfalls, and a comparative look at available options on the market.
How to Measure Employee AI Competency Levels: A Practical AI Readiness Framework
We examine employee-level AI readiness measurement at both conceptual and practical levels, and present a structured framework for assessing individual AI competency.
Meet Jobnest.ai.
Explore Jobnest.ai's AI interview experience.