Find out what we’re thinking about and creating
By Ian Ash / March 18, 2020
No one can say with confidence how long this pandemic will last or what the long-term effects on the public...
By Kristi De Asis / March 12, 2020
Dig Insights is committed to putting our priority on health while continuing to deliver great work. Effective immediately, we have asked all employees in our Toronto and Chicago offices to work from home.
By Kristi De Asis / March 05, 2020
We’re thrilled to welcome Julien Naggar to the Dig Insights Team as Director of Qualitative. Julien mixes his passion for research...
By Nadia Antropova / February 19, 2020
Last February 14th, Dig joined the Quirk's event in London - an interactive two-day exhibition curated for research and insight professionals. Here are 3 of our key takeaways from the event.
By Ian Ash / February 06, 2020
Dig Insights with help from online panel provider Dynata conducted an online survey among over 1,000 full-time employed Canadians in order to understand how they felt about the state of humour in the workplace.
By Dominic Atkinson / January 15, 2020
From the emergence of DIY platforms to industry consolidation, Dig looks at the biggest changes in the market industry in the past 10 years.
By Michael Edwards / December 03, 2019
Tech companies are launching research solutions, and research companies are launching tech solutions. Which is better?
By Ian Ash / October 29, 2019
Have you stopped joking at work for fear of crossing the line between what is and what isn’t acceptable? If you wish everyone would stop taking things so seriously and just have a good laugh… good news, you are part of the majority! More than half agreed that “I wish people would laugh more at my workplace”.
By Tess Badun / October 09, 2019
The elusive nature of neural nets is, in many ways, similar to that of the thought process of young children....
By Tess Badun / October 07, 2019
Dermatologists at Stanford University were training a neural net to determine whether a picture of a dermal lesion was skin cancer. Initial test ended up doing well enough until they realized that the machine would classify any image as potential skin cancer if there was a ruler in the photo.