What can HR see in the Careertrainer.ai HR dashboard?
HR gains access to aggregated data on training usage and skill development at the team, location, or program level—without delving into individual conversations.
This boundary is intentional. Conversation training is most effective when employees can practice without feeling monitored.
Visible metrics include the number of participants training, frequency of practice sessions, the development of core competencies within a group, and the progress of cohorts along their learning paths. Individual transcripts and scores remain confidential with the employees, who can choose to share their results. Additionally, audit logs document relevant activities for governance purposes.
Before launching, determine the appropriate level of oversight for your management needs—typically, team or location-level insights are sufficient.
Is the Careertrainer.ai HR dashboard compliant with works council regulations and GDPR?
Yes, the HR dashboard is designed as a training tool and only displays aggregated data—this makes it compliant for works councils and data protection regulations.
In co-determined companies, the first question regarding any training tool is: Can it be used for performance or behavior monitoring? The answer for the HR dashboard is no, as individual conversations are not recorded.
There are no personally identifiable transcripts, no individual scores, no emotion or voice analysis, and no automated decisions made about individuals. For verification, we provide a data processing agreement, technical and organizational measures, a record of processing activities, and a list of subprocessors. Audit logs ensure traceability.
Engage the works council before the pilot phase and use the visibility rules as a foundation for a brief company agreement.
How can HR use the dashboard to measure the effectiveness of conversation training?
HR measures effectiveness through skill development derived from real conversation evaluations, not just participation rates.
Traditional training reports indicate who attended, but they leave the impact on conversational skills unclear.
Each role-play scenario is assessed based on the core competencies relevant to the training area, such as leadership communication or objection handling in sales. The dashboard aggregates these metrics for groups and tracks their progress over time. Alongside usage data—like the number of participants and frequency of practice—this creates a comprehensive overview. For learning paths, progress and completion reports are also included.
Before starting, define two to three competencies as success criteria and compare their development after six to eight weeks.
How does the HR dashboard of Careertrainer.ai differ from an LMS report?
A Learning Management System (LMS) can track participation and completion rates, but it doesn't provide insights into how conversation skills truly evolve.
While a completion certificate may suffice for mandatory training, it falls short in assessing whether individuals can effectively handle challenging conversations in leadership or sales training.
Our HR Dashboard leverages data from real practice conversations, evaluating scenario objectives and core competencies through an independent AI. It offers insights into usage, repetitions, and skill development at the group level. An LMS cannot replace this; instead, they complement each other—your LMS manages knowledge content while Careertrainer.ai focuses on the practice component.
Keep your LMS for mandatory and knowledge-based content, and utilize the HR Dashboard for the behavioral change aspect.
How do we implement the HR dashboard while ensuring compliance with data protection regulations and engaging with the works council?
The implementation process consists of three steps: define visibility, review documentation, and launch a pilot program.
Most delays arise not from technical issues, but from involving data protection and employee representatives too late in the process.
First, you determine which programs and groups will be represented and what level of detail HR requires. Next, data protection and employee representatives review the necessary documents—such as the data processing agreement, technical and organizational measures, and the list of subprocessors—along with the policy that ensures individual conversations are only visible to the respective employees. Following this, a pilot program is initiated with a manageable group, and the aggregated results are discussed together after a few weeks. No extensive IT project is needed for this.
Invite employee representatives and data protection officers to the initial demo—this will save you multiple rounds of coordination later on.