Complete guide to uploading your feedback data and analyzing it with our powerful analytics platform.
Once your data is uploaded, access these analytics features:
Check for missing values, data validity, and identify potential issues in your feedback responses.
Understand score distributions with histograms, boxplots, and summary statistics (mean, median, IQR).
Automatically analyze the sentiment of text feedback to identify positive, negative, and neutral responses.
Discover key themes and topics in open-ended feedback using advanced NLP techniques.
Identify which factors most strongly influence student satisfaction scores.
Track feedback metrics over time by academic year and course to identify improvement areas.
Your feedback data must be in Excel format:
Want to explore the system without your own data? Download one of our sample feedback datasets to see how the analytics work:
💡 These sample files contain real (anonymized) student feedback data with all required columns. Perfect for learning how the platform works before uploading your own data!
The Overview section provides a comprehensive health check of your feedback data:
Missingness: Shows percentage of missing values per column. Green (low) to red (high) severity indicators help you identify data gaps.
Valid vs Invalid Scores: Counts how many score values are within the expected 1-7 range. Invalid entries are marked for review.
Response Fatigue: Identifies respondents who gave the same score to all questions (possible lack of engagement or fatigue).
Histograms & Boxplots: Visual representation of score distributions. Look for patterns, outliers, and overall satisfaction levels.
Analyzes the emotional tone of open-ended feedback using VADER sentiment analysis:
Each text column is analyzed for positive, negative, and neutral sentiment. Scores range from -1 (very negative) to +1 (very positive).
Use these insights to understand the overall tone of feedback and identify areas of concern (high negative sentiment) or satisfaction (high positive sentiment).
Extracts key themes from suggestion text using advanced topic modeling:
Automatically discovers the most common themes in student feedback. Hover over topic bars to see the related keywords.
Shows sentiment distribution within each topic (positive ✅, neutral ➡️, negative ⚠️).
Heatmap showing average score values for feedback within each topic. Darker colors = higher scores.
Identifies which factors most strongly influence overall satisfaction (future_score):
Ranked list showing which competencies (competency, clearness, availability, approachability) matter most to students.
Plots factors by Importance vs Satisfaction, with 4 quadrants:
Tracks feedback metrics over time:
Line chart showing average scores across all 5 competencies over academic years and terms.
Drill down by individual course (subject_code) to see improvement areas and track course-level performance.
Your data is never stored. After 30 minutes of inactivity or when you close your session, all data is automatically deleted from memory. You can download results as images or export analytics before your session expires.
Analysis typically takes 30-60 seconds for datasets with 200-500 responses. Larger datasets may take longer.
Yes! You can select multiple Excel files and the system will combine them into a single dataset for analysis.
Missing values (empty cells) are treated as NaN. The Overview tab will show you the percentage of missing data per column. Some analyses (like sentiment) skip rows with missing text, while others (like distributions) exclude NaN values from calculations.
Yes! You can start a new upload session anytime. Each session is independent and isolated from previous analyses.
Topics are automatically extracted from your feedback text. Each topic is represented by a set of keywords. Review the actual feedback comments to understand the context.
It's a measure of internal consistency—how well the 5 competency scores correlate with each other. Values above 0.7 indicate good reliability. Higher values suggest the competencies are measuring related constructs.
Yes! All charts are generated as high-quality images that you can right-click and download.
This platform is designed for confidentiality. Your data is secure in memory and never stored. After your session expires, it's completely gone.