Enthüllung von Mitarbeiter-Insights: Analyse von Feedback-Mustern zur Verbesserung der Zufriedenheit am Arbeitsplatz
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.
Neue mobile Anwendungen, die Sie im Auge behalten sollten
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Welche neuen mobilen Anwendungen für soziale Medien werden 2022 verfügbar sein?
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Neue Social-Media-Anwendungen als Marketingtrichter nutzen
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Probieren Sie Twitter Spaces oder Clubhouse auf dem iPhone aus
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Mit welcher Anwendung experimentieren Sie gerade?
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Enthüllung von Mitarbeiter-Insights: Analyse von Feedback-Mustern zur Verbesserung der Zufriedenheit am Arbeitsplatz
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.
Welche Daten wir verwendet haben
3'862 Employee feedbacks on a survey with 12 open questions from 4 different categories such as management, working conditions, wage and wellbeing.
Zielsetzungen
— Finding patterns and similarities in employee feedback for each category
— Gaining more insights using sentiment analysis and topic modelling
— Report findings to management
Liefergegenstände
— 2D Interface with Cluster and Search
— Topics from topic modelling
— Management report with «Heat Map» of hot topics to take actions
