How do you turn a conversation that went wrong into a training program?
After a failed feedback conversation, you, as a company manager, enter a title and a training goal.
This results in an editable program draft. A team leader could plan a program for feedback conversations with defensive employees. The draft includes chapters, text lessons, and AI role plays. The generator takes into account the stored company profile and created products. Suitable existing scenarios are incorporated, and missing conversation exercises are created as new role plays. Before approval, you can add, delete, or rearrange steps and adjust role plays. Thus, a specific conversation occasion leads to a series of learning steps for further exercises. Open the program generator in the company account and start with the title and goal description.
Who can create, approve, and assign programs for client companies?
Company managers of corporate accounts, partner admins, and admins can use the program generator.
The publication is handled by the company or the training partner themselves. Training partners create programs for individual client companies while utilizing the respective corporate context. They can assign programs to individual clients or to all clients. Each program belongs to exactly one training area: leadership, sales, negotiation, or customer service. Therefore, a training partner can create separate programs for each area for a client company. This is helpful when a consultancy supports multiple companies with different offerings. This way, the assignment to the respective client context is maintained. As a company manager or partner admin, open the program generator and select the appropriate corporate context.
When is the program generator a better fit than an e-learning course?
The program generator is more suitable when your training goal also includes conversation exercises.
An e-learning course imparts knowledge without learners engaging in a conversation. A generated program combines text lessons with AI role plays and is part of one of the four training areas. The conversation evaluations are included in the program's final report. Mandatory steps can be sequentially locked. A team could train delegation conversations if an experienced employee initially declines additional responsibility. For this, human resources can plan a learning path with appropriate conversation exercises. This way, the program links professional learning steps with concrete conversation practice. Create a learning path in the program generator for the appropriate training area.
What data protection information helps companies before a works council approval?
For the data protection review prior to a works council approval, companies have access to the AVV, TOM, VVT, and the subprocessor list.
Hosting in Germany. Corporate customers receive the subprocessor list in the data processing agreement. Voice recordings are not stored. The transcript remains for evaluation. Customer content is not used for training AI models. Your team can separately review where the hosting is located, which AI services are listed in the subprocessor list, and which conversation data remains for evaluation. A personnel developer can go through the documents with the works council and data protection office before the rollout. Request the AVV, TOM, VVT, and subprocessor list for approval.
When does the program generator not fit your training plan?
The program generator does not fit if you only want to prepare a single conversation attempt without program structure.
Each generated program belongs to exactly one training area: leadership, sales, negotiation, or customer service. Therefore, a common learning path for leaders and service staff requires separate programs. A project that aims solely to convey subject matter content without conversation practice also does not align with the focus of the generator. For example, a departmental team can plan a program for delegation conversations, while customer service receives its own program for escalations. This way, each learning path remains focused on a training area. In the program generator, create a separate learning path for each area if your project encompasses multiple areas.
