We often here the phrase “Customer First”.

While working or conceptualizing a Data Science project we often neglect it thinking it is for the service industry. Even in data science, in order to provide a right/useful solution, it is very important to understand the needs of the customer first. We need to be in the customer’s shoes and understand what are the exact challenges faced by them. Once we understand their perspective, we can then provide the most efficient solution to solve their problems.

Design Thinking is a methodology to understand the problem statement from the perspective of each stakeholder. We need to empathize with the user, and validate it if it works well for the end user. The end users are not concerned what is happening at the back-end. It is our responsibility to give the end users the functionalities that are useful to them.

The basic steps in Design Thinking are as follows :

  • Empathize

  • Define

  • Ideate

  • Prototype

  • Test

However, these steps can vary according to the nature of the problem. There may be sub steps too.

This is what we will learn in the upcoming “Design thinking for Data Scientists” workshop on 9th February, WiDS Pune 2019, second pre conference event . This workshop will start with Ice breaking activities, and then there will be a number of group activities and brainstorming activities. We will divide the audience into groups with people of diverse skill sets, background and experiences. We will undergo different activities and come up with empathy maps and present our findings about the problem statement.

I am damn excited, are you? Join us for the workshop on 9th February @ Thoughtworks at 10:00am

Register at