The three step custom test on the bubble user helps you understand the user’s thoughts

text /Nir Eyal (TechCrunch)

for the past 25 years, truly great consumer technology companies have one feature in common: they create consumer habits. This is the key to changing the world of business from other businesses. Apple, Facebook, Amazon, Google, Microsoft and Twitter are user daily use of the high rate of products, and these products are attractive enough, so many of us are very difficult to imagine life without them is what.

but creating habits is easier said than done. Although there are numerous articles about the future importance of behavior, engineering, and behavior to the network, the tools needed to design and measure user behavior are still inadequate. It’s not that these technologies don’t exist – in fact, they’re very familiar with working in an enterprise. But for new entrepreneurs, these tools are mysterious.

‘s so-called "habit test" is the way some of the best companies in the industry use it, and some consumer web companies use it to build products that users can’t appeal to.

custom test


custom test is well suited for the creation, measurement, learning methodology, and supported by the lean entrepreneurship movement, and it provides a new way to allow data to be used in the measures taken. Custom tests can identify three questions: 1) who do you serve? 2) if possible, what part of your product can become a habit? 3) why can these parts be transformed into habits?

A prerequisite for

custom testing is the presence and operation of a product. Of course, before launching a most streamlined product, a good idea is to try your business model and find your product and create a way that users expect.

if you have a website or application on-line, you can start collecting data. Custom testing does not require collecting all the data – as long as it’s appropriate, so the key is to set the appropriate analysis. In order for the custom test to achieve its goal, you need to mark the time point of the user’s path when the user uses your site.


step 1: identify user

In the premise of

website and statistical methods necessary under the first question you need to answer is: "what are the habits of test users have the habit of action?" first, clear what to service users in this sense. Ask yourself how long it takes for a user to use the site. That is to say, suppose one day, all the bug is cleaned up and the product is perfectly "on standby". How long do you expect the regular user to visit the site?

should focus on reality and >

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