Design Thinking for Data Scientists

How do you ensure that you're using Data Science effectively to solve real problems in a way that the end users are not intimidated by all the information being thrown at them? Businesses are moving towards making better user experience and customer satisfaction their goals and services are becoming more and more user centric.

Design Thinking is a process that focuses on understanding the needs of customers and using an iterative process to address them.

The objective of this workshop is to introduce data scientists to what Design Thinking is and how they can effectively use it to their benefit.


Outline/Structure of the Workshop

Ice breaker activity

Introduction to Design Thinking

Sample problem statement

Step by step, hands on solution of the problem at hand using various Design Thinking activities.

Learning Outcome

Attendees will understand what is Design Thinking.

They will know the various phases of Design Thinking.

They will also learn how to apply Design Thinking activities to creatively solve real world problems.

Target Audience

Anyone who wishes to know how to apply Design Thinking for creative problem solving

Prerequisites for Attendees

Really, no pre-requites required. Anyone who wants to understand what Design Thinking is and how they can apply it to solve real-world problems can attend the session and benefit from it.

schedule Submitted 1 year ago

Public Feedback

comment Suggest improvements to the Speaker
  • Naresh Jain
    By Naresh Jain  ~  1 year ago
    reply Reply

    Design thinking is an important topic. Thanks for your proposal, Dhanashree. 

    "Step by step, hands-on solution of the problem at hand using various Design Thinking activities."

    Can you please elaborate on this? Can you give time breakup of what will happen in this section?

    • Dhanashree Srivastava
      By Dhanashree Srivastava  ~  1 year ago
      reply Reply

      I've conducted similar workshops as part of other conferences - most latest being the Women in Data Science (Pune chapter) - you can find the details of my session here -

      The activities will take the participants through the various design thinking stages of Empathize, Define, Ideate, Prototype and Test using certain techniques that work well for a bigger group.

      • Anoop Kulkarni
        By Anoop Kulkarni  ~  11 months ago
        reply Reply

        I had a look at the link you shared. There, it looks more like a full day workshop (or maybe half day) but still longer than 90 minutes slot you have asked here. Hence Naresh's question on time breakup. It will just help everyone here understand how the session will unfold.. Just a bulletized guideline (with time for each bullet) would be sufficient, I think. Also, typically what size of group you are comfortable with ? And what are the outer limits for group sizes?



        • Dhanashree Srivastava
          By Dhanashree Srivastava  ~  11 months ago
          reply Reply

          So in the 90 minute format, I would just be calling out the activities that we typically do, and explaining how we do it and what purpose it achieves. I will follow up with walkthrough of an example of a real world problem being solved using these activities.

          So I'd touch upon what an Empathy map is, how it is created, where that fits in and what purpose it solves.

          Similarly.. what do you mean by the user's current journey, struggle identification and prioritization,

          and so on...

          In the all day workshop, we break the attendees into sub groups and actually have them work on each of these activities hands on.


          • Anoop Kulkarni
            By Anoop Kulkarni  ~  11 months ago
            reply Reply

            thanks for clarifications. looking forward...