Whether you are a
is in the rapid development of start-ups, or an already has a certain scale enterprises, in the business on the road, if you want to succeed, one very important point, that is, to choose their own products, and seize the key. Here, I want to talk about this focus is the data.
Riley Newman is Airbnb’s data science department, recently, he accepted an interview with the media, how to use scientific data to help Airbnb optimize the product decision, finally let the performance of the company to the rapid development of. Of course, he shared the experience, can also be applied to other companies.
data is the voice of the customer
in Airbnb, Riley to collect data as a customer issued a "voice"". In fact, through the analysis of customer interaction logs, data scientists played a "megaphone" role in the company, they can amplify the voice of the customer, combing customer demand, then the "voice" to explain the company’s products team, marketing team and customer support team, help them make executable decision.
data is the voice of the customer. Data can effectively record the user’s behavior, for your company’s products, the data actually represents the user made decisions, what they will do, do not do, in fact, are reflected in the data above. Data scientists will make decisions made by users, to become the enterprise can understand the information.
in order to illustrate the importance of listening to the voice of the customer, the author will give a special example of how to use Airbnb data to improve their products.
as a travel publishing listings, rental platform, Airbnb core, search is the availability of information, but also the entire platform to run the Airbnb engine, is an important driving force of Airbnb high-speed development and delighting customers.
but at the beginning of the Airbnb, they do not know what kind of guidance information should be provided to the customer. So, they start from a simple solution, "the position of Airbnb to the user search center, search within a certain radius of the availability of information, and then lists a number of the highest quality, and returned to the user."
, with the login, the use of Airbnb website more and more people, they get more and more data. In the end, Airbnb began to use the user data driven search, and replace the original search solutions. Riley said that the new search engine has not only brought more customer orders for Airbnb, but also user satisfaction