Unveiling Employee Insights: Analyzing Feedback Patterns to Improve Workplace Satisfaction
The goal of the project was to analyze 3,862 employee feedback responses to a survey with 12 open questions in order to identify patterns and similarities in the feedback and gain insights using sentiment analysis and topic modelling.
New mobile apps to keep an eye on
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What new social media mobile apps are available in 2022?
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Use new social media apps as marketing funnels
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Try out Twitter Spaces or Clubhouse on iPhone
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What app are you currently experimenting on?
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Unveiling Employee Insights: Analyzing Feedback Patterns to Improve Workplace Satisfaction
The goal of the project was to analyze 3,862 employee feedback responses to a survey with 12 open questions from 4 categories (management, working conditions, wage, and wellbeing) in order to identify patterns and similarities in the feedback and gain insights using sentiment analysis and topic modelling. The deliverables included a 2D interface with cluster and search, topics generated from topic modelling, and a management report with a "heat map" of hot topics to take actions.
What data we used
3'862 Employee feedbacks on a survey with 12 open questions from 4 different categories such as management, working conditions, wage and wellbeing.
Objectives
— Finding patterns and similarities in employee feedback for each category
— Gaining more insights using sentiment analysis and topic modelling
— Report findings to management
Deliverables
— 2D Interface with Cluster and Search
— Topics from topic modelling
— Management report with «Heat Map» of hot topics to take actions
