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Data driven design thinking , DDDTDisadvantages of Design Thinking Unfortunately, traditional design thinking methods have limitations. The point is that unsafe customer data and the observer's subjective perspective can be incorrectly projected into the 'empathy-definition-idea derivation' process, which is the core stage of the existing design thinking process. In addition, it takes the most time and resources to analyze individual customer characteristics and lifestyles. A method to complement this is DDDT (Data Driven Design Thinking). Data Driven Design Thinking (DDDT) DDDT stands for data-based design thinking . It is a concept that combines data-driven and design thinking, which provide strong confidence in decision-making with specific numbers, and uses quantitative research techniques rather than only qualitative research techniques in the 'empathy-definition-idea derivation' process .
We utilize ‘data’ centered on statistical data . It is a method of identifying customer context using data, identifying Cambodia Phone Number Data problems that need to be solved, and designing new value three-dimensionally by understanding what context various personas consider important. This DDDT, data-driven design thinking, has the advantage of enabling fact-based data analysis, accurate predictions using scientific data tools, and analyzing various personas at the same time. Take a look at DDDT examples As an example of using DDDT, I would like to introduce Dyson's Air Wrap, a hair styling product. We all know that Dyson Airwrap has been consistently loved by many customers since its launch. Airwrap, which is in short supply despite its high price, lies in DDDT. Dyson is said to have analyzed over 1.1 billion data collected over 10,000 hours by more than 420 professional hairdressers at 80 beauty salons around the world ahead of the launch of the new product. After analyzing 1.1 billion pieces of data, we identified a pattern in which hairdressers use a round brush to shape the hair while simultaneously using the air flow from the dryer to push fine hair inward. That said, I've found that the angle of your hair dryer is very important.

This is Masaki Tabe's second article on [ Brand Search Marketing ]. In the last article , I told you why search data should be used as a performance indicator, and in this article, I will talk about more ways to use search data in your brand growth journey. I would like to inform you in advance that this article also contains the author's thoughts and interpretations based on the basic content of the book. How does a brand grow (=when do sales increase?) It goes without saying, but a brand has meaning when it can solve customer needs that have not yet been met. A brand that comes to mind when a specific need arises naturally leads to natural use by customers, which leads to a purchase . However, it is true that for a brand that is just starting out, it is not easy to occupy the first association position in a market that has already been created by other brands.
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