Program Design
AI Client Interviewing Practice for Law Schools: A Faculty Module
A law school module for fictional client interviews, fact gathering, client priorities, rubric anchors, and faculty-led debriefs.
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Better conversations.
Better practice.
Practical guides to AI conversation training, scenario design, debriefs, and faculty review for universities, trainers, and professional teams.
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Program Design
Conversation Simulation for Criminal Justice Programs
Build a focused interviewing and de-escalation module with a defined role, course policy, observable behaviors, and faculty review.
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What Is EmpatiQ? AI Conversation Training Explained
How EmpatiQ connects expert teaching, AI counterparts, and review through Train, Practice, Record for universities, trainers, and professional teams.
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Train, Practice, Record: How Learning Works in EmpatiQ
Follow a fictional interview from lesson to AI practice, review, and a deliberate next attempt through EmpatiQ's connected learning loop.
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EmpatiQ Campus: Conversation Practice for Universities
How faculty can connect curriculum, individual AI practice, and review in psychology, law, and criminal justice programs with EmpatiQ Campus.
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EmpatiQ Creator: Turn Your Expertise into Conversation Practice
Bring your method and teaching approach to a course with AI scenarios, clear review criteria, and practice alongside the lessons.
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Workplace Conversation Training with EmpatiQ
How professional teams can practice feedback, disagreement, and follow-through with fictional AI counterparts and review tied to their teaching method.
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A Guide to the EmpatiQ General Dashboard
Find your way around Emery, Scenarios, Library, Conversations, and Progress, and choose where to start in your personal EmpatiQ workspace.
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Create Your First Private Scenario in EmpatiQ
A dashboard walkthrough for defining roles, a situation, an objective, and assessment criteria, then practicing in voice or text and reviewing the debrief.
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Understanding EmpatiQ Debriefs and Practice Progress
Use criterion feedback, transcripts, score trends, and scenario reports together to review a practice attempt and decide what to rehearse next.
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Review Transcripts and Audio in the EmpatiQ Dashboard
Bring in a conversation source, connect transcript review with notes, and return to your work through My records, My notes, and My people.
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Job Interview Practice with an AI Counterpart
Rehearse interview answers and follow-up questions in a private EmpatiQ scenario, then review clarity, relevance, and your own contribution in the transcript.
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Practice Difficult Performance Feedback with EmpatiQ
A manager training use case for explaining a specific concern, exploring a colleague's account, and reviewing the next step in a fictional feedback conversation.
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Rehearse Workplace Conflict Conversations with EmpatiQ
Practice clarifying competing concerns and responding to a rejected proposal in a fictional disagreement between project teams.
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Sales Discovery Practice with AI Counterparts
Use a fictional prospect to practice discovery questions, respond to an objection, and check whether your proposed next step fits the conversation.
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Customer Complaint Conversation Practice with AI
Build a support training exercise around a fictional complaint, the representative's authority, policy-based options, and a transcript-led review.
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Negotiation Practice: Explore Interests Before Proposing Terms
Rehearse a fictional deadline negotiation, clarify the counterpart's priorities, and review how your proposal responds to the information you learned.
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AI Interview Practice for Psychology Students
A faculty-led use case for clarifying a fictional client's concern, checking a summary, and reviewing how a student responds to a correction.
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Rehearsing a First Client Interview in Law School
A fictional client interview for practicing chronology, client priorities, and checked summaries with a law school skills instructor.
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De-Escalation Conversation Practice for Public Safety Training
An instructor-designed use case for listening, clarifying concerns, and explaining a defined role, with a transcript-based after-action review.
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