Design systems and platforms should be built with the human user in mind, focusing on processes and needs. A digital employee experience should be based on design thinking, placing humans at the center of the process, and focus on what the job to be done actually is. A design platform should include KPIs to measure how well it helps the employee perform the task at hand. Here are a few examples of how to build a digital employee experience.
Intelligent communications
When we talk about Intelligent Communications, we often think about unified communications. Although there are differences between the two, they are both related to a better digital employee experience. While operational metrics measure whether activities are performed as planned, experience metrics assess how employees perceive the services they are receiving. Luckily, there are some ways to measure both. Here are some examples of how to measure each. Hopefully, the following examples will help you understand the importance of Intelligent Communications.
A key element of an effective digital employee experience is tailoring the delivery channels, devices, and notifications to each employee. This is where AI comes into play. As a result, every employee’s experience can be personalized to the very individual. This is why it is important for companies to collect data on their workforce’s needs to optimize the employee experience. Here are some of the top challenges and best practices for designing an intelligent communications solution.
The ability to personalize content based on the needs of individual employees is one of the biggest benefits of this technology. Employees can get relevant information right when they want it, which is similar to “Just-in-time” manufacturing. By ensuring that information is delivered to employees at the right time, companies can create a culture that encourages and fosters knowledge sharing. These strategies will be critical for a company’s success.
Contextual intelligence
Companies are realizing the benefits of contextual AI. These systems identify what audiences and contexts are relevant to their products or services. Contextual AI allows advertisers to target content based on keywords, tone of voice, and sentiment. This approach helps advertisers maintain control over their ad placement, while ensuring that consumers see their ads in brand- safe environments. Here are some examples of how digital employee experience can benefit from contextual intelligence.
Adaptable and adaptive, context-aware systems enable commercial teams to make informed decisions in real-time. This means they can confidently navigate periods of change. The Aktana engine, for example, incorporates learnings and outcomes from interactions to continually optimize strategies. The platform balances the needs of HQ with the local markets, and delivers daily data-driven suggestions to field users. Contextual intelligence helps organizations optimize the entire commercial process and ensure a positive customer experience.
For digital employee experience to work, companies must capture end-user experience data across all endpoints, both on and off the corporate network. This data should be integrated with engagement feedback and user survey data. These data must be collected in an appropriate manner while respecting privacy. Automation of issue detection also helps IT teams see the most common issues, so they can resolve them more effectively. For this reason, context-aware digital employee experience examples are increasingly essential for companies looking to improve their employees’ satisfaction.
Speech recognition
If you’re considering the addition of speech recognition to your interactive voice response (IVR) solution, you’ll want to make sure you’re choosing a vendor that can handle all your data needs. While DTMF is a great choice for basic communication, it’s limited when it comes to complex logic and information. A more flexible solution, speech recognition can help you enhance your digital employee experience. For example, imagine a personal digital assistant that recognizes voice commands and can offer relevant information.
With a voice assistant, employees can speak to a device and have it read out their notes or messages. The technology has been around for a while, and there are several options available for businesses to use. Google introduced Voice Search in 2008, and in 2015, it released speech- to-text for Google Docs. Other vendors, such as Voximplant, have taken advantage of Google’s API to build speech recognition tools for their clients.
ith the advancements in hardware and software, speech recognition is now an affordable and effective way to improve your employee experience. Despite its potential for boosting employee productivity, speech-recognition software requires careful planning to get the most out of it.
We’ve outlined three ways to use speech-recognition software to improve your employee experience and make your digital workplace more productive. You’ll be amazed at how much money you can save with this technology.
