Category Archives: Voice of the Employee

Posts about the voice of the employee

MeaningCloud Release: new Deep Categorization API

This is what we’ve included in MeaningCloud’s latest release:

  • New Deep Categorization API: we are happy to present the first of our Premium APIs, Deep Categorization 1.0, which lets you carry out an in-depth categorization of your data. In this initial release, we’ve included predefined models for analyzing the Voice of the Customer in several domains and the Voice of the Employee.
  • Language Identification 1.1: we say goodbye to Language Identification 1.0, so if you are still using it, you will need to migrate to the newest version. If you are using it through the Excel add-in, we’ve done it for you, so you just have to update your Excel add-in to the latest version.
  • New language for Text Clustering: we’ve added Catalan to the languages supported in the Text Clustering API.
  • General usability improvements: mainly in the developer area of the website.

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Surveys and HR: why do you need open-ended questions?

open and closed questions

Since everyone wants to understand employees better, text-based data sources are a key factor for any organization to understand the “whys” and act on them to make improvements. Open-ended questions are one of the most effective ways to gather employee opinions; they offer them an open forum to make suggestions and present innovative ideas.

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The amazing deeds of text analytics superheroes

In the last few years, the explosion of user-generated content in social media (networks, forums, communities, etc.) has significantly increased the need to extract information from unstructured content. Oddly enough, text analytics superheroes, wondrous as their achievements are, are just average guys who figured out what they could do with the right technology.

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What is the Voice of the Employee (VoE)?

Voice of the Employee. Silhouettes with bubbles representing dialog

Finding committed employees is one of public and private organizations’ top priorities. Thus, listening to the Voice of the Employee by systematically collecting, managing and acting on the employee feedback on a variety of valuable topics is essential.

The relationship between Voice of the Employee (VoE) and Engagement is very similar to the one between Voice of the Customer (VoC) and Customer Experience. VoC provides information to improve customer experience. Voice of the Employee promotes employees’ engagement in the company and their work. See: Voice of the Employee, Voice of Customer and NPS

Voice of the Employee collects the needs, wishes, hopes, and preferences of the employees of a given company. VoE considers specific needs, such as salaries, career, health, and retirement, as well as implicit requirements to satisfy the employee and gain the respect of colleagues and managers.
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Net Promoter Score (NPS) via Voice of the Customer (VoC)

More and more companies have come to understand that to grow profitably in competitive scenarios, satisfied customers are the key to success. And they know that employees have a fundamental role in achieving a better customer experience.

In this challenge to improve customer loyalty, companies must be able to listen to their customers and understand what they are saying. It is what we call the Voice of the Customer (VoC).

However, a mission — such as customer satisfaction — that lacks a precise measure of success (or failure) is just hot air. Quoting Lord Kelvin, “If you can not measure it, you can not improve it.”

The Net Promoter Score (NPS) has become, for a number of companies, the key metric for measuring customer satisfaction. By the same standard, the mission to get motivated and happy people in an organization also has its key metric: the eNPS (Employee NPS).

As discussed below, in order to improve customer and employee experience, both the NPS and the eNPS need to find the reason that justifies the score given.

When asked What is the primary reason for your score? the NPS and the eNPS collect and analyze the open answers of thousands of customers and employees. Here is where the linguistic technology of Meaning Cloud intervenes.
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