Sentiment Analysis makes use of all your qualitative data, by predicting if it is negative, positive or neutral in tone and to what degree. Qualitative data includes the text content of continuous feedback check-ins, diary notes, comments, on-boarding and off-boarding feedback, probation reviews, performance reviews, policy compliance, goal chat conversations, compliance interactions, business feedback requests, records, in fact any text that is entered onto the platform by employees. The article below is in response to the below questions:
- How does Sentiment Analysis work?
- What data is being analysed?
- When does the sentiment analysis update?
- What are the benefits of sentiment analysis?
How, When and What?
The software uses Artificial Intelligence (AI) specifically Natural Language Processing, to determine whether the sentiment in word combinations and phrases are positive, neutral or negative by applying a numerical sentiment score on a range of -1.0 to +1.0. These scores are aggregated and visually presented to support in-application analysis across multiple dimensions, including the data source, business units, supervisors, tenure and other general workforce demographics. By visualising sentiment among their workforce, managers and business leaders can more easily improve employee engagement, along with the culture of their business. They can be proactive in managing issues before they surface, mitigating risk to their business and people. They can also use the information to improve their performance management frameworks with a focus on enhancing employee experience. The analysis is updated continually with new data being added each night at approximately 1am. This time is needed for the AI in the software to analyse the sentiment in the text data. The data analysed includes the text content of continuous feedback check-ins, diary notes, comments, on-boarding & off-boarding feedback, probation reviews, performance reviews, policy compliance, goal chat conversations, compliance interactions, business feedback requests, records, in fact any text that is entered onto the platform by employees.
By identifying sentiment and visualising it in drillable, multi-dimensional, real-time analytics, we can unlock powerful insights about employees and their supervisors and their perspective of their work. Sentiment Analysis tools can heat-map positive and negative sentiment over the entire business, giving you a visual snapshot of performance. This will allow you to identify areas of the business that require attention or areas that are doing well so you can replicate their success. Gone will be the traditional engagement survey process. There will be no need to wade through pages and pages of text. With this automated alternative you’re not only able to process large sums of qualitative data, but it also allows you to see the overall tone of the responses. There is a great opportunity to leverage existing and more frequent HR processes like a “Check-in” to remove the need for the once a year engagement survey.