LogBook makes data analysis more accessible to startups


See the original article in Japanese

Plucky, the Tokyo-based developer of user behavior analysis tool Slash–7, is now developing a new service [1]. The new service is called Logbook, and its goal is to allow anyone to start analyzing data.

Logbook targets those who want to measure their own services but don’t know where to start. It helps clarify target areas to be analyzed and shows what steps to take.

Recently we hear a lot about growth hacking, and the five key stages of acquisition, activation, retention, referral, and revenue – which have been referred to as ‘Pirate Metrics’, spelling out ‘AARRR’. This idea was developed to help startups execute data-driven management, and Logbook enables users to analyze data based on this AARRR framework.


Many startups wonder which areas they need to analyze and improve. Data alone won’t help you figure it out, but Logbook helps you find more clarity using on AARRR, as explained in the slides below.

The initial setup for Logbook is very easy. After users answer a few questions, the tool generates codes which users can embed in the software, so they can then start analyzing data right away. The wizard system tell you which indicators which need attention.

While there are similar tools in overseas markets, no tools have this kind of wizard system. With this addition, and by supporting those who don’t have the typical requisite skills for data analysis, Logbooks plans to expand its user base more broadly.

Logbook’s service will be in both Japanese and English, with the aim of targeting east Asian markets like as Hong Kong and Taiwan as well. By expanding Logbook, Plucky aims to ultimately become a growth-hacking platform that recommends optimized tools.

Pre-registration for alpha version of Logbook is now available. If you are interested in the service, you can learn more here.

  1. Editor’s note: The company name and service are technically called ‘pLucky’ and ‘SLASH–7’ respectively, but in the interests of readability and common sense, we’re normalizing both. –RM  ↩