It’s an exciting time to be involved in product and service innovation. New technological advancements and agile market research platforms allow innovators to receive consumer feedback quickly, cheaply, and often.

AI and predictive models enable individual projects to become larger than the sum of their parts, with meta-analyses mining collected data for untapped insights. Sales data and consumer behavior data points can be integrated into this mix, providing new and exciting opportunities for validation and further refinement of research approaches in a virtuous circle of “test and learn” on steroids. 

The end result?  Better-selling innovations, and fewer wasted resources.

At Dig Insights, we’ve partnered with many global brands to design, deploy, and maintain templated research programs, supporting agile innovation and creative testing.

Here are just a few of the benefits your organization can expect from incorporating this approach:

Data mining with AI and machine learning

With a standardized approach, your research data becomes a data pool that can be mined for insights, including trend identification and discovery, analysis of winning ideas for themes, Lift & Shift opportunities, and more. 

Quick identification of global opportunities

Norms and global indexes easily identify winning ideas across regions, enabling global leads to quickly single out “big bets” worth further development.

Turbo-charged testing timelines

Pre-approved templates and testing protocols enable lighting-quick turnaround times – as little as 24 hours.  That means Monday’s ideas can be vetted by Tuesday’s meeting.

Is your organization ready to unleash the power of agile research programs?