Predicting the future can be risky, but there’s a list of hot topics being discussed in the digital industry right now, which can turn nice-to-have technologies and tools into something meaningful and valuable for the user’s experience.
Here’s a list of eight of the most important UX design trends for the year ahead.
https://www.thedrum.com/news/2019/01/29/top-ux-design-trends-digital-well-being-and-biometrics/
User Experience (UX) research is the process of discovering the behaviors, motivations and needs of your customers through observation, task analysis, and other types of user feedback.
According to this study, over the next five years the User Experience (UX) market will register a 18.0% CAGR in terms of revenue, the global market size will reach US$ 300 million by 2024, from US$ 130 million in 2019. In particular, this report presents the global revenue market share of key companies in User Experience (UX) business, shared in Chapter 3.
https://marketresearchupdates.com/2019/03/27/user-experience-ux-market-overview-key-futuristic-trends-opportunities-2024/
The use of metrics is a practice businesses apply to nearly all aspects of their organisation. Whether that’s finance, competition, customer requirements, expectations, employee performance, or marketing, metrics matter. Metrics reflect and support the strategies of these business areas, giving us leverage to improve in any way we can. So why would this be any different when collecting online customer feedback? And while we’re on the subject, what is a customer feedback metric?
https://mopinion.com/what-is-a-customer-feedback-metric/
Companies love the "as-a-service" model for all layers of the technology stack, from infrastructure provided by cloud vendors to full SaaS applications. However, when it comes to data, companies are still operating in a mode of IT-owned and IT-controlled models, where users of data are waiting for their turn in line.
This year we will see the ongoing adoption of open source technologies, methodologies, and cloud services that move companies closer to an "as-a-service" model for their data, making their data scientists, data consumers, and data engineers more productive than ever.
https://tdwi.org/articles/2019/01/04/data-all-whats-ahead-for-data-in-2019.aspx/
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