Customer Satisfaction and Employee Relations

People Analytics: Statistical Case Studies for Human Resources

People Analytics: Statistical Case Studies for Human Resources presents a collection of people analytics, employing statistical methods and inference to address strategic human resource challenges. It explores the motivations behind specific choices, provides graphical guidance such as what are the best incentives to draw executive talent, segmentation of employee attitudes and delves into discussions relevant to the human resource, people research, and strategic consulting sectors. Ebook Available on Amazon
Case Study—Visualizing Value for Top General Merchandise Retailers

This article Case Study—Visualizing Value for Top General Merchandise Retailers examines a case study which measures where consumers stand on sustainability and social responsibility as applied to retail corporate behavior.
Effective Tools for People Analytics

The article Effective Tools for People Analytics demonstrates that Deductive reasoning emerges as a superior instrument for human resource measurement compared to direct questioning. While direct inquiry can complement deductive reasoning in certain situations, its limitations make it less suitable for human resource measurement’s complex and multifaceted task.
How to measure employee fraud

How to Measure Employee Fraud discusses how to ask questions to determine employee fraund levels.
Migration of the Marketing Analytics to the Human Resources Industry

Migration of the Marketing Analytics to the Human Resources Industry explains why HR professionals need to go beyond reporting date to analyzing company data.
Boosting Employee Retention with Predictive Analytics

Combining predictive analytics with traditional employee surveys can lead to a significant decrease in employee churn. This represents a significant opportunity for market researchers to demonstrate value to corporate management, as described in this Greenbook Blog post, Boosting Employee Retention with Predictive Analytics.
The Post Pandemic World: Deploying Existing Client Databases – CX Measures to Financial Linkage

Many companies wish to link their customer experience (CX) variables to specific financial outcomes. They wish to estimate customer retention based on data they already possess and identify variables that will predict financial performance. In this article in Quirk’s Marketing Research Review, Deploying Existing Client Databases CX Financial Linkage, we discuss linkage between company CX measurements to Financial Outcome along a continuum.
Quadrant Analysis

Quadrant Analysis, the classic Importance vs. Performance quadrant.
Importance Analysis Visuals

Importance Analysis Visuals, a graphic display of what customers say is important vs. what really drives satisfaction within products, and how they interplay in the branding mix.
Customer Satisfaction Measures

Customer Satisfaction Measures is a presentation that showcases Multivariate Solutions’s various Customer Satisfaction Techniques.
Measured Management Employee Satisfaction

Measured Management Employee Satisfaction exhibits a regression model of how to predict employee retention in the high turnover restaurant management market.
Measuring and Using Employee Satisfaction

Measuring and Using Employee Satisfaction, a piece that illustrates ‘Within human resources the dependent variable should not only be defined by the HR goals of the employer … It should also include an evaluation of the impact on customer satisfaction,’ outlines a data-driven method to predict which attitudes will lower employee turnover.
Loyalty ROI – Maximizing Loyalty Points

Loyalty ROI – Maximizing Loyalty Points examines Loyalty programs and discusses a forecast method to maximize their point value.
Loyalty is the Big Enchalada

The article in Admap Magazine, Loyalty is the Big Enchilada, discusses how raising their Net Promoter Score can exponentially increase visit frequency and sales for restaurants and retail outlets.
Regression Analysis – Predicting Key Drivers

Regression Analysis – Predicting Key Drivers analyzes a studies in which the client sought to uncover the attribute or attributes among those you measured that best define your client’s customer satisfaction, usage drivers, or leading cause of switching to a competitor’s brand.
Mining the Silent Evidence

Mining the Silent Evidence discusses intricacies of brand funnels and filters for discovering opportunities and consumer groups to target.
Design Performance – The Kano Model

Design Performance – The Kano Model, published in Quirk’s Marketing Research Review, offers insight into product attributes perceived to be important to customers. The purpose of the tool is to support product specification and discussion through better development team understanding on differentiating product features, as opposed to focusing initially on customer needs, then forming strategic communications to meet those needs.