In today’s world of complex technologies, intricate philosophies, and vast information, it’s easy to get lost in jargon and dense explanations. But what if there was a way to make even the most complex ideas easy to understand? Enter the ELI5 Method, your bridge between confusion and clarity.
I don’t know that there’s a research report that shows how rampant competition focused mindset is vs a customer focused one. But, you instinctively know this if you spend anytime in the world of business. And you’re probably more focused on studying your competitors than you are your customers.
Technology, it’s sexy. It gets all the attention, even from non-technologists. Innovation is often confused with technology, as it’s what people see; technology itself is not innovation, rather the outcomes is enables. The mistake aspiring technologists make when pitching their ideas is confusing features with benefits.
Most businesses exist in the trap of better, which is a race to commoditization; more of the same. There are no shortage of books, blog posts and articles on how to differentiate a business. There really isn’t a surefire guide on how to achieve game-changing differentiation, but there are principles. How can you differentiate your business?
Customer obsession is thrown around as if every business does it. Truthfully, most businesses are profit obsessed; not customer obsessed. So what does customer obsession look like? A business that says they’re customer obsessed is one that sees their customers as their North Star; they start from them and work backwards.
What makes a business stick positively in the mind of its customers? It’s many things, but I’d argue that service is a big sticking point. Providing a great customer service will never be bad business, and boy do most businesses have a lot to improve in this area.
As has been the case since technoly has existed, businesses will always flaunt they have the latest and greatest tech at their disposal in order to gain attention. Nowadays, that technology is artificial intelligence. Yet, the organizations that have adopted AI are still rare.