No te pierdas Inspire 2024, que se llevará a cabo del 13 al 16 de mayo de 2024 en The Venetian, Las Vegas. Regístrate ahora.

Use Case

Employee NPS Survey Modeling

 

Employee Net Promoter Score can give a view of overall workforce sentiment, but it doesn’t uncover the factors that affect those scores. Predictive models can help you uncover the factors that have the greatest impact on employee engagement and sentiment.

Risk Reduction

Find out early critical issues your employees are having and diagnose them

Top-Line Growth

Drive initiatives across your organization that directly impact employee sentiment

Customer Experience

Truly understand the reasons behind low NPS score

Business Problem

Would your employees recommend your company as a good place to work? Would they recommend purchasing your company’s goods and services? Smart companies convert the answers to those questions into an Employee Net Promoter Score (eNPS).

The score not only reveals a great deal about job satisfaction, employee engagement, and overall workforce sentiment, but it also prompts the question “Why?” The way to bring about meaningful change in your organization is to uncover the factors that make your employees answer those questions as they do. While the surveys help gauge overall sentiment, it can be hard to diagnose which reasons are the most important in predicting and thus affecting promoter score.

Alteryx Solution

Given that all employees are promoters, passives, or detractors, which workplace factors motivate them? Using predictive models, a company can uncover and research the factors that most affect employee engagement and sentiment and affect eNPS.

The predictive model is made possible by connecting a database of the promoter score results, including reported reasons for the score, with databases containing other metrics about the employee. Running those features (reasons for the score) through an anonymized model draws out the reasons that best predict the score an employee will give. By studying those reasons, managers can focus on the factors that really matter, as opposed to just grouping by the most common response. The model also helps highlight issues that employees care about and the topics most likely to make them promoters or detractors.

With Alteryx, you can:

  • Load anonymized NPS survey responses and blend that data with employee demographic data
  • Segment employees based on department to uncover department-level NPS scores
  • Use regression modeling to discover what factors currently impact low scores, and what changes can most improve future scores
 

1- Data Connection

Load in data containing employee metrics and NPS surveys

2- Prep and Blend:

Summarize and group based on department structure

3- Advanced Analytics

Utilize Regression Modeling to find which changes will most impact employee engagement

 

Additional Resources

 
 
Starter Kit for HR Analytics
Learn More
 
 
Starter Kit for Predictive Analytics
Learn More
 
 
Workforce Simulation
Learn More
 
 
Ensure Pay Equity

Learn More
 

Recommended Resources

 
Webinar
Analytics to empower HR
Automate tasks and enhance platform performance: use cases include post-COVID return, smart relocation efficiency, optimizing onboarding, learning, development, and digital HR file compliance.
  • HR
  • English
  • English
Watch Now
 
Blog Post
Democratization or Governance? You’re Asking the Wrong Question
  • Analytics Leader
  • Business Leader
  • IT Leader
Read Now
 
Blog Post
Generative AI Use Cases: Driving Innovation Across Industries
  • Analytics Leader
  • Business Leader
  • IT Leader
Read Now