How to quantify Spain Phone Number design from the perspective of “Cao Chong weighs the elephant”

Because it cannot be completely quantifid, it is difficult for us to specifically evaluate the quality of the design, to prove the impact and value of the design on the company, and it is difficult for us to achieve substantial growth. In this case, experience and dazzling methodology have gradually become a weight to prove their own abilities, limiting many designers with potential and aura.

In fact, can design really not be quantifie?

Not impossible, but difficult! Just a simple interface involves countless factors (copywriting, typesetting, color, style…, each factor will have an impact on the final data performance), not to mention a complete process or a set of revision plans .

Just like elephants are difficult to weigh, not because of technical reasons, but because off-the-shelf scales cannot handle such a large body, but we do not nee to make a special scale for weighing elephants.

Spain Phone Number
Spain Phone Number

Since the scale can’t get bigger, we have to make the elephant “smaller”. Cao Chong cleverly Spain Phone Number solve the seemingly impossible problem of  weighing an elephant because he “decompose” the elephant into a pile of stones of equal weight.

In other words, the core of design growth lies in quantification, and the core of quantification lies in decomposition . And “decomposition” is an important part of the lean close-loop approach. I Spain Phone Number have seen many discussions on closd-loop processes, but I have never seen a systematic description of design decomposition, which also leads to the fact that the design cannot be completely quantifie, which has always been an unsolved puzzle in the industry.

 

How to break it down?

If the design object is compare to a box, then when we optimize the process, we can divide the complete process into several segments according to the scene (horizontal decomposition); when optimizing the information structure, it can be divide into several modules (vertical decomposition); when optimizing a single page can be split into several variables (plane decomposition). The granularity of the split depends on the growth stage of the product and the size of the design.

After splitting, you will find that the overall data may not be good (after all, no one can guarantee that the data can be improve after each design optimization, and there is no guarantee that the data can be continuously improve, but a certain part of the data may be good, And another part of the data is not good, resulting in no overall change. In this way, we can further improve the improvement for the part of the data that is not good.

It’s like Cao Chong said that if you can’t solve a big problem at once, then we will break it down into small problems and break them one by one. This ensures continuous growth!

To give a simple example, we once optimize a very important marketing landing page, and use a professional derivation method to change many sets of plans. The data results were not satisfactory, so the designers believe that the design could not be quantifie. Either way, it’s much better than before.

Later we try to use the lean close loop method:

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