Tracking how an innovation performs after it’s launched is something that companies tend to overlook. Read on to learn why this shouldn’t happen and learn handy tips for tracking your innovation.

The most successful products solve consumer problems. Want to learn how to test out ideas that will do just that? This article is for you.

How do you come up with innovative ideas? Discover how insights folks identify opportunities today and learn tips from our senior leaders.

Laying the foundation for innovation research isn’t what it was like before. Our senior leadership shares how this stage of the innovation process changed over time and offers tips for doing it the Dig way.

Building an innovation process is hard work. We share 3 things your business must nail to start innovating efficiently.

The ability to tell a good data story is more important – and challenging – than ever. We look at the 3 essential components to an impactful data story and how interactive dashboards can create them in real-time.

Our predictions for the gold standard for qualitative research in 2023 and beyond.

Just because you automate your advanced analytics capabilities doesn’t mean you’ll be able to democratize them. But automation is the start of getting democratization done. Learn about how Dig Insights invests time and technology into automating and democratizing analytics and why it matters.

Learn about the benefits of automating some of your tactical research. And discover the challenges of automating strategy.

Mark Barden, a partner at strategic brand consultancy eatbigfish, shares his tips to incorporating sustainability as a challenger brand.

An interview with Mark Barden, a partner at strategic brand consultancy eatbigfish, about building sustainability as a challenger brand.

The global pandemic has forced companies to embrace a predominantly virtual way of understanding target audiences. 

Telling a concise, coherent story is what separates good research from mediocre research. And the thing that kicks the story up a notch is when it speaks to business impact. But telling a data-driven story that relates to business impact is often done poorly for many reasons.

We think the cake mixes act as a perfect analogy to explain the debate between DIY vs automated market research.

No one can say with confidence how long this pandemic will last or what the long-term effects on the public psyche will be. What is pretty clear is that we’ve already crossed the line in-terms of being able to forecast a global recession. 

The elusive nature of neural nets is, in many ways, similar to that of the thought process of young children. After finding this, I worked to develop a system to manage the juvenile actions of AI.

A curious example of a machine’s creative solution-ing was an image classifying DNN (deep neural network) which classified nonsense images as real and recognizable objects with very high confidence.

Dig Insights wanted to find out just how much of an impact these corporations’ support and visibility during Pride have on consumer perception and buying behaviour. 
We partnered with Dynata and spoke to 1000 Torontonians about their awareness and perceptions of Pride and its sponsors.

Insight Innovation Exchange is a tech-focused research conference that wrapped-up at the end of April. This was my second time attending (first time in Austin), and I thought I’d share a few takeaways and observations, which I believe are relevant for Dig Insights, as well as the marketing research industry overall.

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