This is a technical follow up of the previous post by the Kinit team that shared some of the valuable insights we were able to gather from the closed beta.

If you haven’t read it yet I encourage you to do so!

In this post I wish to describe the process we took to define and setup the BI and data infrastructure that supports the Kinit app. This is the first of a series of posts I intend to share on other BI projects we do within the Kin ecosystem.

My perspective is that every product should be released from day 1 with the appropriate metrics and potential KPIs. Building Kinit from the ground up is a great opportunity to choose and setup BI architecture that will be best suited for the product goals. Straight from beginning we agreed that the Kinit beta must be released with product analytics.

BI goals for Kinit: