NBCUniversal Project 4

NBCU, a media and entertainment company, is seeking to understand how remote work due to COVID-19 has affected employee engagement and which behaviors contribute to burnout. The company wishes to identify correlations between employee behavior, engagement levels, and the potential for burnout. With a focus on promoting behaviors associated with highly engaged employees, NBCU aims to create a roadmap for future analysis of other businesses/functions. The project will involve analyzing Microsoft Workplace Analytics (WPA) and recent engagement surveys (OurSurvey and Pulse surveys) data to predict employee engagement and identify factors that can improve it. The analysis will focus on a specific business/function, refining variables and identifying outliers, and cleansing data using Python or R. The team will use statistical models developed in previous Capstone programs and random forest classifiers or other decisioning techniques to build a model with high accuracy of predicting employee engagement and “tipping points.”

The student team will need to prepare a project plan with key milestones, meet frequently with the client representatives, and deliver a presentation of their findings. The presentation should include a brief high-level overview of the analytics techniques used, findings on behaviors associated with high or low employee engagement, and statistical analysis supporting the findings. The project’s main objective is to identify the size, type, and level of collaboration of an individual’s network that leads to higher engagement and productivity levels. Additionally, the project aims to determine if the networks of higher engaged employees lead to overall higher levels of employee engagement across the wider organizational network and whether network patterns have changed since the start of the pandemic.