MeaningCloud Voice of the Employee (VoE) Vertical Pack
Listening to the Voice of the Employee through systematic collection, management, and action on the feedback of those employees about a variety of relevant issues is essential. VoE programs typically use various methods to collect and analyze that feedback, including surveys such as eNPS (Employee Net Promoter Score), exit interviews, performance appraisals, employee forums, social networks, and focus groups. In these methods, open responses and sources and unstructured information hold more and more weight, because they invite greater freedom, sincerity, and spontaneity in expression.
Text analytics provides a quick and affordable way to mine this entire volume of data. But to do so while maintaining high quality, your analytical models must be designed to extract significant insights in a Voice of the Employee context.
For those who do not have the time and resources to develop their own models for analysis of the Voice of the Employee, MeaningCloud offers its VoE Pack, which consists of a series of pre-prepared categorization models that cover a large percentage of the requirements for the following contexts: analysis of performance appraisals, surveys, exit interviews, etc.
Predefined categorization models
The VoE models are executed on our Deep Categorization API, the new MeaningCloud technology to achieve high-precision granular categorization.
The VoE Pack provides a fast, simple, high-quality and affordable way to analyze unstructured employee feedback. Their models are already available in several languages and for several contexts and can be used through the MeaningCloud APIs and its add-in for Excel that gives access to these specific models, APIs, and analyses.
If you are a Human Resources executive and you have thousands of comments to analyze, sign up to MeaningCloud, download our add-in for Excel, paste your verbatims in a spreadsheet, press the corresponding MeaningCloud button, and you will see how your comments are automatically tagged with meaningful categories for the analysis of the Voice of the Employee.