Toggle Menu

Insights > Modern Analytics > Cross Post: Five Lessons Learned from Applying Design Thinking to Data Use

Cross Post: Five Lessons Learned from Applying Design Thinking to Data Use

Human centered design isn’t a new concept – design thinking tools like ranking exercises, journey maps, and personas continue to help users identify and find innovative ways to address critical barriers to data use. If you’re thinking about integrating design thinking approaches into data-centered projects, take these five key considerations into account before you begin: […]

By

October 23, 2017

Human centered design isn’t a new concept – design thinking tools like ranking exercises, journey maps, and personas continue to help users identify and find innovative ways to address critical barriers to data use. If you’re thinking about integrating design thinking approaches into data-centered projects, take these five key considerations into account before you begin:

  1. Design thinking is a mindset, not a workshop agenda
  2. Engage the right people – you need a diverse range of perspectives and experiences to uncover problems and co-create solutions.
  3. Plan for the long haul.
  4. Focus on identifying and understanding the problem you’ll be solving
  5. The journey matters as much as the destination

View the original post by Excella’s Data Visualization Specialty Lead Amanda Makulec on ICTworks for more on applying design thinking to data visualization.

ICT Works is an online community-supported hub for international development professionals to share their thoughts, experiences, and expertise with current and upcoming technology. Founded by Inveneo in 2009, ICTworks provides writers with the opportunity to have their insights published and promoted to a large pool of  followers and readers from all around the world.

You Might Also Like

Modern Analytics

30-Day Data Analysis

What is Data Analysis?   Data analysis is the process of turning raw data into actionable...

Artificial Intelligence (AI)

Haunted by Data Quality Issues? Call DataOps!

October is here and with it comes jack-o-lanterns, skeletons, witches, and yes…bad data. There are many...

Artificial Intelligence (AI)

AI Explained in 140 Characters

There is a lot of information out there about AI: what it is, what it’s not,...