If you’re not familiar with Simon Sinek, you should drop what you’re doing to watch his famous TED Talk: “How Great Leaders Inspire Action.”
In his talk, he explores what made people like Martin Luther King Jr. and the Wright Brothers become the leaders they were.
Most companies claim that they are customer-centric businesses, which is a good thing since prioritizing delivering a high-quality customer experience as one of the top goals shows significant revenue generate. Research shows that “value chains are being reshaped—redistributing more than US$3 trillion to businesses that best anticipate the impacts”. CMOs and CIOs, therefore, are carefully analyzing their customer behavior and expectations to gain an edge in today’s competitive market.
Often the thoughts start from the software “Wordpress with Woocommerce”.
One way to improve productivity is to reduce waste: objects, properties, conditions, activities, or processes that consume resources without benefiting stakeholders. However, reducing waste can be very challenging. People quickly acclimate to wasteful practices and waste is often hidden by bureaucracy, multitasking, poor prioritization, and invisible cognitive processes. To better understand software development waste, we conducted an in-depth study of waste at Pivotal Software, a large American software development organization, known for using and evolving Extreme Programming.
I once joined a project where running the “unit” tests took three and a half hours.
As you may have guessed, the developers didn’t run the tests before they checked in code, resulting in a frequently red build. Running the tests just gave too much friction for the developers.
I define friction as anything that resist the developer while she is producing software.
Since then, I’ve spotted friction in numerous places while developing software.
Successful app marketing depends on an array of platforms within a tech stack and how they are connected. Within that architecture, attribution — which credits a marketing activity that delivered a desired goal — is the key. Only with accurate and granular attribution data can you identify which marketing campaigns work and meet your goals, and which do not.
