Data and AI to support modern HR management
Most of the current HR tools have become outdated – a fact accelerated by rapid changes in technologies and the labour market. In our everyday life, there are more and more situations where a single HR manual no longer suits our varied needs. End-user experience needs to be individually tailored, and to achieve this we need new tools. In this blog, I will introduce new technologies that support end-user experience and provide new information for better decision-making.
Data and artificial intelligence replace outdated tools in improving employee experience
Data, and artificial intelligence processing this data, are essential tools for real-time, individualized HR management. Below, I will present three different ways to collect data from end users. As only data from actual individuals bears relevance in HR management, I will be concentrating on methods relevant for acquiring this type of information.
1. Proactive feedback
The most common way to collect data is through various questionnaires and pulse-like mobile applications. In all of these, data collection is based on predefined questions. This limits the quality of data, and, almost without exception, only measures the past. Predefined questions present and measure issues that have already been identified before. However, buttons placed in work environments (e.g. HappyOrNot) can be used to quickly collect data around one topic. Open questions provide data of the highest quality data, as the respondent's thinking is not limited by previously defined topics. Unfortunately, this valuable data is often disregarded due to the time and manual work it takes.
2. Reactive feedback
Analyzing video camera feed already provides good results for the e.g. real-time measurement of end-user satisfaction. Image analytics of facial micro-expressions is already quite sophisticated in recognizing the human emotional scale. The quality of analytics can also be improved by adding sound to the image. Various IoT sensors and indoor positioning are also able to tell you how to use working facilities and how to act in different work situations. How people use spaces is the best way to verify the success of interior design or even things like indoor air quality.
Human-gathered biodata is the most accurate way of verifying end-user experience in real time. Everyday biodata is submitted by watches, rings and other wearable sensors that measure example a person’s activity and pulse. An accurate result requires a high-quality biodata profile for each analyzed individual. Although some startups are already offering biodata profiling, the next few years will be witnessing a significant increase in companies’ occupational health services based on these technologies.
Incorporating artificial intelligence in decision-making
Artificial intelligence, or computer programs simulating intelligence, have been making our life easier for years. However, their quality, and especially the problems they solve, are closer to our everyday lives than before. Artificial intelligence eliminates routines and enables us to use our brain capacity for more rational and often more inspiring tasks – and most importantly, informed decision-making.
Artificial intelligence is a good companion for analyzing open questions. It identifies different topics and can categorize them into separate areas of end-user experience. It can organize feedback according to topics concerning the physical workspace, working tools and, company culture. However, the aforementioned areas are currently run by different individuals or entities. Artificial intelligence is also the only co-worker who has the capacity to combine all three data sources into one real-time report for one’s company management. When striving towards being the world's most successful company, management members can use it in decision-making – and reach the next level.
Want to hear more? Join 600Minutes People and Culture event on 26 March 2019 or 600Minutes Leadership and HR event on 2 April in Stockholm.