FEBRUARY 2020HR TECH OUTLOOK8In MyOpinionHR Professionals need Technology enabling Conversations, Rather than Performance ReviewsBecky Cantieri, Chief People Officer, SurveyMonkey [NASDAQ: SVMK]ByMy views on HR technologies changed dramatically after joining SurveyMonkey, a company where listening to customers is a core value and asking for feedback is central to the business. As SurveyMonkey's chief people officer, I believe in our values and mission to power the curious, and I work to integrate them into all the work we do across the people team every day. Listening to customers in the case of HR teams means listening to employees and potential employees (i.e. candidates). They, along with our customers of course, are the people who matter most to our organizations. As a company grows it's no longer possible to have one-to-one conversations with all employees, but their feedback and inputs are still critical to decision making, so I have to do it at scale. The real opportunity begins with "listening" (analyzing) to the feedback and leveraging those insights to develop new and improve existing HR programs. As a result, this focus on asking for input fundamentally changed the way I operate as an HR leader and connect with our employee community. It has also changed my thinking about the technology: what HR leaders need daily is technology that enables us to have an ongoing dialogue and take action on these insights. Here are some of the lessons I've learned so far.Use technology to ask better questions and get better insightsThe best of insights come from asking the right questions. Doing so is a real art, as I've learned while working with our professional research team on perfecting the questions we ask of our employees. It's important to make sure your questions aren't biased, and that your questions help get to the `why' of an issue. There are existing technologies and tools that can help HR professionals do just these things. With the goal of getting great feedback on an ongoing basis, these technologies must be available at our fingertips as we work on new ideas and try to improve existing programs. While scientists are still figuring out how to make AI curious and ask questions for you, you can start to elicit more impactful feedback by utilizing existing question banks and machine learning algorithms to perfect questions
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