# History

iframe
## 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.

![](/assets/history.b82bb10ce383654662a9a0703e385ef1ef20d01961b6d432fdd1ad2c9721b592.9c1bb791.png)

## 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.