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NPS survey analysis

By Filip Žitný

Updated on August 14, 2024

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The NPS (Net Promoter Score) survey is one of the most effective tools companies use to gauge employee satisfaction and predict the likelihood of employees recommending their workplace to others. In this article, we will explore a comprehensive NPS survey analysis conducted using the powerful data analytics platform, Deepnote. This analysis offers valuable insights into various factors influencing employee satisfaction, such as department performance, seniority level, and the impact of remote work.

The NPS survey analysis covers responses from 762 employees, offering a robust dataset for exploring trends in employee satisfaction. The analysis is broken down into several key areas:

Overall NPS calculation: this metric provides a snapshot of the average satisfaction score across the entire company. It serves as a baseline for comparing different departments and groups.

Department-wise analysis: by examining satisfaction scores by department, this analysis identifies which departments are excelling and which may need improvement. This can be particularly useful for HR teams and management to allocate resources effectively.

Seniority level analysis: the analysis delves into whether an employee's seniority level correlates with their satisfaction and likelihood of leaving the company. Understanding these dynamics can help in designing better retention strategies.

Remote vs. on-site work analysis: with the rise of remote work, it's crucial to understand how it affects employee satisfaction. This part of the analysis compares satisfaction levels between remote and on-site employees, offering insights into whether remote work is beneficial or detrimental to overall employee morale.

In conclusion, the NPS survey analysis hosted on Deepnote provides a thorough examination of employee satisfaction across various dimensions. Whether you are in HR, management, or data science, this analysis offers actionable insights that can help improve employee retention and overall workplace satisfaction. Explore the analysis further through the embedded Deepnote link to see how these insights could apply to your organization.

Filip Žitný

Data Scientist

Follow Filip on Twitter, LinkedIn and GitHub

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