HR Stakeholder Progress Dashboard
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Avg Proficiency Improvement
+0.8 Levels
|
Average Course Completion
78%
+5% from last month
|
Active Learners
235
Number of employees currently active in the program
|
|
PEI
0.17
How effectively engagement converts into skill improvement
|
SPI
3.2
Overall speaking proficiency & progress
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WPI
3.0
Reflects writing proficiency (accuracy & vocabulary)
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Overall Progress
Skill Performance
Department Breakdown
Individual Performance
Feedback
Overall Progress
(Bar chart: Course Completion Distribution)
(Bar chart: Proficiency Level Distribution)
(Line graph: Average PEI Trend over time)
(Histogram or box plot: PEI Distribution across employees)
LLM Insight: The average PEI indicates a healthy
conversion of engagement into skill improvement. Some employees could
still benefit from strategies to optimize their learning approach.
Skill Performance
Speaking Proficiency Index (SPI)
(Line graph: Overall SPI Trend over time)
(Line graph: Fluency Score Trend)
(Line graph: Pronunciation Accuracy Trend)
(Radar chart: Fluency & Pronunciation Accuracy)
LLM Insight: Speaking skills are steadily improving,
particularly in fluency. Pronunciation accuracy is also on the rise, but
targeted practice could help some employees improve faster.
Writing Proficiency Index (WPI)
(Line graph: Overall WPI Trend over time)
(Line graph: Grammatical Accuracy Trend)
(Line graph: Vocabulary Range Trend)
(Radar chart: Grammatical Accuracy & Vocabulary Range)
LLM Insight: Writing accuracy is increasing. Further
expansion of vocabulary usage will enhance overall writing performance.
Department Breakdown
(Horizontal bar chart: Avg Progress by Department)
(Horizontal bar chart: Avg PEI by Department)
(Horizontal bar charts: Avg SPI and WPI by Department)
| Department | Avg Time Spent | Lesson Completion Rate | Tool Usage |
|---|---|---|---|
| Sales | 3h 50m | 85% | High |
| Marketing | 3h 30m | 88% | Medium |
| Engineering | 2h 15m | 75% | Low |
| HR | 3h 10m | 82% | Medium |
LLM Insight: Sales demonstrates a high PEI, suggesting
effective learning strategies. Engineering’s lower PEI indicates a need for
more tailored learning approaches.
Individual Performance
| Name | Department | Course Completion % | Last Activity Date | At Risk? | PEI | SPI | WPI |
|---|---|---|---|---|---|---|---|
| John Doe | Sales | 90% | Dec 20, 2024 | No | 0.25 | 3.4 | 3.2 |
| Jane Smith | Engineering | 60% | Dec 10, 2024 | Yes | 0.10 | 2.8 | 2.6 |
| Emily Johnson | Marketing | 80% | Dec 28, 2024 | No | 0.18 | 3.1 | 3.0 |
Feedback
(Word Cloud: Common keywords from employee feedback)
(Sentiment Analysis Bar: Positive / Negative / Neutral)
Recent Feedback Quotes
“Loving the course structure, it’s very interactive!”
“Technical vocabulary for the Engineering team could be expanded.”
“Sales team has really benefited from role-play simulations.”
AI Insights & Recommendations
Executive Summary: Overall, the language program shows
promising results, with high course completion and improving proficiency indices.
While the Sales department excels (high PEI), Engineering may benefit from
more targeted content. Speaking (SPI) and Writing (WPI) continue to improve,
but focused interventions could speed up progress.
At-Risk Employees:
- Jane Smith (low PEI, inactivity)
- Mark Davis (not enrolled in advanced modules)
Focus Areas Identified by AI:
Download Report
- Encourage employees with low WPI to utilize vocabulary-building tools more frequently.
- Provide targeted pronunciation practice for employees with lower SPI scores.
- Offer technical English support for Engineering to improve PEI and WPI.
- Leverage Sales’ high-efficiency learning methods to enhance outcomes across departments.