What makes a city happy? What makes a city friendly?
I built software designed to look at your CRM and figure out segments of customers and potential customers, why they buy and how to delight them. This technology is based on years of research, machine learning and big data, connecting human activities to lexical based, psychometric traits, the building blocks of personality. I see the world though a lexical interpretation of human activities. What you do in life can be a bridge to deep meaning and psychometric interpretation. With the help of many, here are our findings:
We found two independent list. While these are not my definitions of happy and friendly, I wanted to see how our software would judge the cities.
Think of a city as a CRM. Many segments exist within the city and it’s not fair to say everyone is happy and friendly in these cities. Our technology is just adding to what was already proposed, not defining it. In later documents, I may come up with my own list of happy and friendly cities as I think we have alternative lists.
The friendliest cities:
Dominate Human Activities of these cities are different:
Friendly cities compared to happy cities, all 10 together, are more focused on the arts, home, clothes and donating to social causes. Compared to happiest cities, they are much less interested in political contributions, investing, travel, and outdoor activities. There are few overlapping activities. Only investing and certain ‘signs of privilege’ metrics overlap for segments of the populations.
Boulder, Co — the happiest city in the US per National Geographic.
Both cities are dominated by psychometric traits of intelligence, systematic thinking, optimism, positivity and self focus.
Great differences exist within these cities and comparing one to the other. In reviewing the data, it is my opinion that a friendly city is a lot like a happy city. Great experiences, you can address strangers easily and see smiles on many faces as you walk around. So, if you made one list, psychometrically, you made the other, in my opinion.
These type of list get a lot of criticism and they should. They average far too many people into broad geographic areas. Maybe that is the point of this post: be careful averaging things that don’t fit well. Overall, consume carefully and find the interesting findings within.
New Orleans — on the the friendliest cities in the US.
Analytical thinking — a high number reflects formal, logical, and hierarchical thinking. People who use analytical thinking appear to be very intelligent, or systematic. They pay close attention to details. They need facts, like organization and structure. They do not need as much outside stimulation.
They also have very high emotional tone. A high number is associated with a more positive, upbeat style. People tend to be optimistic, cheerful. They show more resilience in everyday situations.
How this applies to your organization:
Imagine applying this type of data to a CRM? It can help you predict and help describe what your organizations means to the world ,why it sells, and maybe why it can’t sell certain things.
We are designed to help you see your CRM in whole new way, psychometric way. We help you figure out why people buy long before they know what they want (predictive analytics). We look deep into what delights people (customer delight as a KPI) about your company. Having a deep understanding of people is a lot like knowing a friend. It significantly impacts conversion rates and retention.
Our technology is based on years of research, machine learning and big data, connecting human activities to lexical based, psychometric traits, the building blocks of personality. We see the world though a lexical based interpretation of human activities. What you do in life can be a bridge to deep meaning and psychometric interpretation about who we are and why we want and desire certain things.