# 4. Career Analytics

User Type: **Super Administrator**
Source: *Mi Digital Academy - Education CRM Features Document*

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## 4. Career Analytics

### 4.1 Path Popularity
**What it does:** The Super Admin reviews the popularity of the career paths so the most sought-after paths are identified.

**Sub-features:**
- Path views: the views of the career paths
- Path interest: the learners expressing interest in a path
- Path enrollment: the enrollments aligned to a path
- Popularity ranking: the ranking of the paths by popularity
- Per-institute breakdown: the popularity per institute
- Available on web
- Event logging (action performed)
- Audit logging of path popularity

**Super Admin User Journey:**
1. As a Super Admin, open the path popularity analytics.
2. Review the path views and interest.
3. Check the enrollment and popularity ranking.
4. Export the report.

**Rules & Edge Cases:**
- A path view is counted when a path is viewed.
- A path interest is a learner expressing interest in the path.
- A path enrollment is an enrollment aligned to the path.
- A popularity ranking orders the paths by interest.
- A per-institute breakdown separates the popularity by institute.
- A report is exportable in CSV.
- Report generation is audit-logged with the actor and timestamp.

### 4.2 Aptitude Distribution
**What it does:** The Super Admin reviews the distribution of aptitudes so the learner population's strengths are understood.

**Sub-features:**
- Dimension distribution: the distribution of scores per dimension
- Strength clusters: the clusters of common strengths
- Population overview: the overview of the aptitude population
- Per-institute breakdown: the distribution per institute
- Distribution trend: the distribution over time
- Available on web
- Event logging (action performed)
- Audit logging of aptitude distribution

**Super Admin User Journey:**
1. As a Super Admin, open the aptitude distribution analytics.
2. Review the dimension distribution and strength clusters.
3. Check the population overview and per-institute breakdown.
4. Export the report.

**Rules & Edge Cases:**
- A dimension distribution shows the spread of scores per dimension.
- A strength cluster groups learners with common strengths.
- A population overview summarizes the aptitude population.
- A per-institute breakdown separates the distribution by institute.
- A distribution trend shows the change over time.
- A report is exportable in CSV.
- Report generation is audit-logged with the actor and timestamp.

### 4.3 Recommendation Effectiveness
**What it does:** The Super Admin reviews the effectiveness of the recommendations so the recommendation engine's impact is measured.

**Sub-features:**
- Acceptance rate: the rate of learners accepting a recommendation
- Action rate: the rate of learners acting on a recommendation
- Path completion: the completion of the recommended path
- Effectiveness by rule: the effectiveness per recommendation rule
- Effectiveness trend: the effectiveness over time
- Available on web
- Event logging (action performed)
- Audit logging of recommendation effectiveness

**Super Admin User Journey:**
1. As a Super Admin, open the recommendation effectiveness analytics.
2. Review the acceptance rate and action rate.
3. Check the path completion and effectiveness by rule.
4. Export the report.

**Rules & Edge Cases:**
- An acceptance rate is the acceptances over the recommendations.
- An action rate is the actions over the acceptances.
- A path completion is the completion of the recommended path.
- An effectiveness by rule separates the effectiveness per rule.
- An effectiveness trend shows the change over time.
- A report is exportable in CSV.
- Report generation is audit-logged with the actor and timestamp.

### 4.4 Career Outcome Tracking
**What it does:** The Super Admin tracks the career outcomes so the long-term impact of the career guidance is measured.

**Sub-features:**
- Outcome recording: the recording of a learner's career outcome
- Outcome categories: the categories of outcomes (employment, further study)
- Outcome by path: the outcomes per career path
- Outcome rate: the rate of positive outcomes
- Outcome trend: the outcomes over time
- Available on web
- Event logging (action performed)
- Audit logging of career outcome tracking

**Super Admin User Journey:**
1. As a Super Admin, open the career outcome tracking.
2. Record a learner's career outcome.
3. Review the outcome by path and outcome rate.
4. Export the report.

**Rules & Edge Cases:**
- An outcome recording captures the learner's outcome.
- An outcome category is employment or further study.
- An outcome by path separates the outcomes per path.
- An outcome rate is the positive outcomes over the tracked learners.
- An outcome trend shows the outcomes over time.
- A report is exportable in CSV.
- Report generation is audit-logged with the actor and timestamp.