Exam preparation
Writing questions for each role, matching them to competencies and reviewing them took specialist teams weeks.
AI-powered exam generation, psychometric measurement, competency analytics and training management; developed end to end for an organization with thousands of employees.
The organization's HR team assesses hundreds of employees every quarter, but the process was getting stuck in three places.
Writing questions for each role, matching them to competencies and reviewing them took specialist teams weeks.
Scores stayed in separate spreadsheets, and it was impossible to see a department's real competency gap.
Which training to assign to whom was decided by the manager's observation, not by data.
Goal: to speed up measurement, make results visible and automatically direct development to the right person.
Each user sees an interface focused only on their own work. Behind it, the same data model, the same competency dictionary and the same analytics engine run.
Creates and assigns exams, and manages the organization-wide gap and development paths.
Manages courses, classes and assignments; tracks learner progress in real time.
Takes assigned exams, continues their courses and sees their own development.
Works in sync with the organization's HR, identity and organization systems via API.
The organization's competency status on a single screen: the strongest area, the priority development area, participation and completion rate can be read at first glance.
Every employee's level in every competency, side by side with the target the role expects. The gap is measured by level difference, not by color.
A five-step wizard: assignment type, security level, target audience, prompt and approval. Preparation that took weeks shrinks to a coffee break.
The manager writes what they want to measure in their own words.
The system scans the competency dictionary, role targets and the question pool.
Questions matched to competency and level are presented for review.
Every generated question is reviewed one by one. Any question that does not meet expectations is edited with a prompt, regenerated or removed.
A simple, focused screen for the employee; a reliable result for the organization. The security level is chosen per exam.
Alongside knowledge exams, personality, resilience and cognitive ability scales work with digital scoring algorithms.
Results are automatically matched with career steps. The employee sees what is missing for the next level and how to close it.
Behind every step the user takes, there is a task the system carries out. In none of the eight steps is data moved by hand.
Roles, positions and target levels
Alignment with the competency dictionary
Employee experience
Personalized path
Organization data is loaded into the model
Question selection by level
The real cause of the gap is identified
Approved and shareable
After assessment, development continues on the same platform. Courses, classes, assignments, announcements and the calendar are managed from a single hub.
Where employees take ownership of their own development: they pick up where they left off, see upcoming tasks and are rewarded as they progress.
Assessment data is among an organization's most sensitive data. The architecture was built with KVKK (Turkish Personal Data Protection Law) and GDPR requirements taken into account from day one.
Development and staging environments are completely separate from production; only masked data is used in these environments.
All traffic over an encrypted channel; protection against eavesdropping
Strong password hashing and optional two-factor authentication
Role-based permissions and the principle of least privilege
Proactive defense against OWASP Top 10 risks
Every capability is an independent service. It talks to enterprise systems in sync and scales piece by piece as it grows.
We develop AI, HR technology and learning platforms at enterprise scale. If you have a similar need, let's define the scope together in the first meeting.