CSAT Analyst-specialized CSAT analytics

Example

For quantitative data, CSAT Analyst can calculate average satisfaction scores, identify trends over time, and benchmark these against set targets or past performance. On the qualitative side, it can extract and categorize comments to identify common themes, such as 'engaging instructors' or 'lack of practical examples'.

Scenario

After a semester ends, an instructor receives a report detailing the average CSAT score for their course, alongside categorized student comments highlighting strengths and areas for improvement.

Example

CSAT Analyst is capable of recognizing patterns in the feedback data, such as a gradual improvement or decline in satisfaction scores or the frequent mention of specific course elements (e.g., guest speakers) as particularly positive or negative.

Scenario

A program coordinator notices a recurring mention of outdated course materials across several courses. CSAT Analyst's insights lead to a university-wide initiative to update all course materials.

Example

Based on the analysis, CSAT Analyst provides suggestions for enhancing course quality. If students frequently mention that they appreciate real-world examples, it might suggest incorporating more case studies or guest lectures from industry professionals.

Scenario

Based on feedback analyzed by CSAT Analyst, a course that received low scores for engagement revamps its curriculum to include more hands-on projects and external speakers, resulting in improved student satisfaction in the following semester.