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Overview: How Voice-AI Reflections Work
Guided Voice AI conversations help students process their co-op, internship, or work-integrated learning at key moments throughout their experience.
Key Features
Structured Touch Points: Pre, mid, and final reflections guide continuous development.
Track Competencies: Measurable growth across NACE-aligned or custom competencies.
Detect Early Signals: Challenges surface early, enabling timely staff support.
Conversation Flow
Baseline Call: Capture expectations, skills to build, and initial goals.
This first call helps you think about what you expect before starting your co-op. You will be asked about what you hope to learn, what skills you want to build, and what goals you are setting for yourself. This call captures your starting point.
Progress Check-in(s): Reflect on successes, challenges, and ongoing learning.
This call is a quick check-in during your co-op. You will talk about what is going well, what has been challenging, and what you are learning so far. This is a chance to pause and reflect while you are still in the experience.
Final Wrap-up: Review overall growth, evaluate goal achievement, and prepare for next steps.
This final call helps you look back on your co-op experience as a whole. You will reflect on what you learned, how your skills changed, and whether you met the goals you set at the beginning. This call helps you put your experience into words and prepare for what comes next.
Feedback & Analytics
Student Satisfaction Snapshot: Summarizes reported satisfaction levels with the experience and reflection process, grouped into positive, neutral, and negative sentiment bands based on student self-reports.
Competency Progress Overview: Displays how students self-assessed progress across assigned competencies, showing distribution of scores and areas of strongest and weakest perceived growth.
Goal Progress Tracking: Shows progress against goals set in previous sessions
Purpose Alignment: Indicates whether students believe their experience is moving them toward their stated purpose, including signals where purpose may need refinement or support.
Flagged Reflections & Risk Signals: Surfaces high- and low-priority flagged comments extracted from student reflections, enabling early identification of concern, disengagement, or support needs.
Example in Practice
A student sets a goal to improve interview confidence. In the baseline call, they identify this as a challenge. During the progress check-in, they report practicing with peers. In the final wrap-up, they reflect on how their confidence improved and how this skill will support future job applications.