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Description

The History panel records every conversation between a mentorAI and its learners. Administrators can review transcripts, apply filters (date, sentiment, topic, category), and export data for deeper analysis—revealing learning trends, common pain points, and opportunities to improve both course content and mentor behavior.


Target Audience

Administrator


Features

Complete Chat Log

View every session the mentor has had, with user identifiers or Anonymous labels if the mentor is set to anonymous.

Transcript Viewer

Click any session to open the full learner question and mentor response thread.

Multi‑Facet Filters

Narrow results by Date Range, Sentiment, Topic, or Category to focus your review.

CSV Export

Download filtered or full histories for analysis in spreadsheets or BI tools.

Insight Generation

Identify frequent questions, learning gaps, and tone alignment to guide prompt tweaks or additional training materials.


How to Use (step by step)

Open the History Panel

  • Sign in to mentorAI
  • Click the mentor’s name dropdown
  • Select History

Review the History List

  • See every chat session plus user identifiers (name, username, email, or Anonymous)

Inspect an Individual Chat

  • Click a session in the left‑hand list
  • The full transcript appears, showing the learner’s questions and mentor’s responses

Apply Filters

  • Date Range – limit to a semester, week, or custom period
  • Sentiment – isolate positive or negative reactions
  • Topic – focus on specific subjects
  • Category – filter by predefined learner categories

Export Conversations

  • Click Export
  • A CSV downloads containing the visible (filtered) data for off‑platform analysis

Pedagogical Use Cases

Identify Learning Gaps

Filter by negative sentiment or repeated questions to spot concepts that confuse learners.

Refine Course Materials

High‑frequency topics may indicate areas needing clearer explanations or additional resources.

Assess Mentor Tone & Style

Review transcripts to ensure the mentor’s language aligns with institutional guidelines and learner expectations.

Prompt & Dataset Optimization

Use findings to tweak the system prompt or add new datasets that address common queries.

Accreditation & Quality Assurance

Exported histories provide evidence of learner support and instructional effectiveness.


By accessing, filtering, and exporting chat histories, administrators gain actionable insights to continuously improve both the mentorAI and the educational experience it supports.