Simpel is the largest, independent sim only provider in the Netherlands. Simpel has been active in the Dutch telecom market since 2007. Thanks in part to its very distinct commercials, Simpel has gained a strong position in the telecom market.
https://mopinion.com/customer-success-story-how-simpel-boosts-customer-experience-using-mopinion/
Agencies across the government are experimenting with design thinking. A key step in this process is getting user feedback on your ideas.
This feedback can often be messy and unstructured. But analytics and visualisations can help officials understand what users’ needs really are. This will allow them to rapidly prototype their ideas and create future iterations of products....
https://govinsider.asia/digital-gov/how-to-understand-user-feedback-with-data-analytics/
Tougher measures on how people’s data is used to track advertising are coming. That means more acute scrutiny of the use of cookies — the prime method of ad tracking. For all the advertising industry’s gesticulation about the cookie’s demise and the rise of people-based audience planning that is ID- rather than cookie-based, online advertising still relies heavily on cookies for tracking.
The laws on cookie use are likely to get much tighter due to the new ePrivacy law, so it’s worth brushing up on what each cookie type does and, more important, which will be acceptable under the new law if it’s passed. To give a rough idea of how much websites rely on cookie data, we’ve selected some of the biggest U.K. publishers and checked how many third-party cookies they’ll need explicit consent to use if the ePrivacy law redraft passes, which appears likely. The Daily Mail has 19,136 third-party cookies on its site, and The Telegraph has 14,025, according to data from Cookiepedia.
https://digiday.com/media/know-cookies-guide-internet-ad-trackers/
Solving the problem of capturing and analyzing "dark data" is the business problem of the century, especially for CMOs who are increasingly accountable for generating revenue and improving business outcomes.
What is dark data? It's the unstructured data that's all over social networks, and it's full of valuable insights you can put to work to generate revenue and improve the way your business operates. But it's highly likely you're not using it—yet.
https://www.marketingprofs.com/articles/2017/32911/dark-data-on-social-media-insights-that-shed-light-on-your-business/
Up-front user research is comforting because it hands off the responsibility of making decisions. Any time a difficult decision needs to be made, designers and product managers can simply refer to work that was done months ago (which is potentially now irrelevant). The research can act as a safety net. If the product or feature doesn’t work out after launch, the team members aren’t responsible; they were simply following the research. But research can give teams a false sense of security–a feeling that they’re not making the decisions, that the research has predetermined what will happen.
Here’s the thing: In the best companies in the world, the companies that make the products everyone uses, a huge amount of the “innovation” comes from simply making assumptions, building something, testing it, and iterating based on real user feedback. Do you think that Slack came about after a lengthy discovery phase? How about Google Hangouts, Gmail, or the Kindle?
https://www.fastcodesign.com/90138792/stop-using-design-research-as-a-safety-net/
Over the last 15 years, I have led hundreds of workshops to equip managers and leaders at all levels with the skills to have more effective feedback conversations. In my experience working with these leaders, I find that most feedback conversations either don’t happen or don’t happen well . While the frameworks I share in these workshops provide a useful structure with which to prepare for and conduct even the most difficult conversation, they are only half of the equation in getting leaders to step up when it comes to giving improvement feedback. Most leaders won’t improve at giving feedback for the sole reason that they do not address the adaptive component required for their own behavior change — that is, they don’t tend to address the limiting mindsets, beliefs and assumptions that cause them to avoid having difficult feedback conversations in the first place.
https://www.forbes.com/sites/rebeccazucker/2017/05/01/why-most-people-wont-improve-at-giving-feedback/#235e2bf4fcc8/
The abundance of data now at the fingertips of companies allows them to test the effectiveness of everything they do. It’s no longer enough to think consumers liked a campaign or application; we can now use data to know. And in the case of applications or new technology, we can know not only whether customers liked something, but also why and how they’re using it. What makes the difference is how you use the data. In this story, we will explore the role that data can play in shaping the design of applications at Walmart to create a more agile development process.
As I highlighted in an earlier piece, I recently spoke with Georgi Gospodinov, a Walmart data scientist who is helping to reshape the company’s analytics technology and product development practices.. We discussed how Walmart is at the forefront of incorporating an agile technology product building approach to technology and analytics. Their approach has lessons for companies of all sizes.
https://www.forbes.com/sites/danwoods/2017/04/18/real-time-feedback-agile-product-development-at-walmart/#1a59306e7559/
The IoT (Internet of Things), the convergence of IT and OT, rapid application development, digital twin simulation models, cyber-physical systems, advanced robotics and cobots, additive manufacturing, autonomous production, consistent engineering across the entire value chain, thorough data collection and provisioning, horizontal and vertical integration, cloud computing, big data analytics, AR/VR and edge computing amidst a shift of intelligence towards the edge: these are some of the essential components of the fourth industrial revolution.
https://www.i-scoop.eu/industry-4-0/
Collecting customer feedback is crucial, but there’s more to capturing the voice of the customer (VoC) than compiling readily available data and dropping it into a spreadsheet. Companies known for great customer service go beyond basic data collection — pulling feedback in from a variety of sources, carefully analyzing sentiment and leveraging key takeaways to improve products and services.
http://www.cmswire.com/customer-experience/voice-of-the-customer-decoded-4-tips-to-make-the-most-of-feedback/
Customer feedback can help you understand what features to add, what features to get rid of, and where to direct your development efforts. Adding it into your marketing plan is a no-brainer. But mobile app companies have a unique challenge. When it comes to communicating with customers, they’re at the hands of Apple and Google.
Because these two giants privatize your customers’ information, it’s impossible to get feedback in conventional ways. Unless your users create an account, you can’t email out a survey to a customer or email list, or search for your customers on social media. You have to be creative. Thankfully, mobile app companies have found savvy ways to get feedback from their users. In this post, I’ll explain how you can learn what customers really think of your app...
https://blog.kissmetrics.com/feedback-from-mobile-users/
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