Frequently asked questions about AI conversation simulator training
Answers about realistic conversation partners, custom scenarios, team onboarding, performance analytics, and data privacy in AI role-play training for professional conversations.
How realistic does the other person behave in the conversation simulator?
The AI conversation partner responds to your questions, conversation style, and the conditions of each scenario.
It does not automatically reveal information or agree to your requests—it only gives ground when there is a relevant reason to do so. In a sales conversation, for example, it might say: “The price is well above our budget.” Simply repeating your offer may not be enough. In negotiations, the other party will only make concessions when you provide something of real value in return, present a credible alternative, or offer a contractual basis.
How do you add your offering and typical objections to the conversation simulator?
Describe your professional situation and create custom conversation scenarios with the scenario generator.
For example, your team can practise responding to the pricing objection, “The price is significantly above our budget,” using your own offering as context. Based on a brief description, the AI creates a scenario draft with conversation objectives and an evaluation framework. A live conversation typically lasts 5 to 15 minutes. Reusable training resources can also keep counterpart roles consistent across multiple scenarios.
How do you introduce the conversation simulator to a new group?
You can combine individual conversations into a learning path and mark published paths as mandatory.
This gives each new group a clearly defined sequence of exercises—for example, on handling price objections, conducting feedback conversations, resolving service complaints, and negotiating with suppliers. You can track each member’s completion status for every assigned training area. Invite people to groups of up to 1,000 via CSV, either immediately or at a scheduled time.
How can you tell whether your team’s skills are improving in the conversation simulator?
Aggregated team reporting shows skill development at group level.
Separate analyses cover both the defined conversation objectives for each scenario and broader conversation skills. Ratings are supported by specific excerpts from the transcript. This helps you identify recurring patterns across the team—for example, how effectively team members explore a pricing objection or open a conversation after receiving pushback in a feedback discussion. Reporting is based on aggregated group data, not on listening in to individual conversations.
Does the conversation simulator replace a seminar or listening in on real conversations?
No—the AI role-play complements seminars and call shadowing; it does not replace them.
When managers have personal questions about a complex conflict, a seminar with direct interaction may be the better choice. If you need to assess real conversations from day-to-day work, call shadowing is more appropriate. The conversation simulator is ideal for repeatedly practising typical situations, such as a customer threatening to cancel, without putting real customers at risk. Use it before a seminar to prepare and afterwards to reinforce what you have learned.
What happens to conversation data in the conversation simulator, and what can managers see?
The assessment can reference specific passages from the transcript to support its evaluations.
Managers have access to aggregated, group-level reporting on skill development. Training takes place exclusively through voice, with no video, emotion recognition, or biometric analysis. Hosting is located in Germany, and AI services are provided as listed in the subprocessor list. These details do not specify which individual conversation content a manager can access.
When is the conversation simulator not the right fit for your training goal?
The conversation simulator isn’t the right fit if your goal is language learning or casual conversation.
It is designed for professional conversations with a specific context and objective. For rhetoric or presentation training without a conversation partner, or for purely knowledge-based learning, another format may be more suitable. Personal topics that require a coach or therapist are also not appropriate for an AI role-play. However, your team can repeatedly practise professional situations such as handling price objections, responding to withdrawal during a feedback conversation, or addressing a threat to resign.