AI at Dig Insights
Our perspective on AI
Human driven, AI-enhanced
We design our processes to be human-in-the-loop. AI creates scale and efficiencies. Our consultants ensure that we are consistently delivering to our clients’ business needs and objectives.
Relentless innovation
We are continuously developing new AI tools and methodologies. These capabilities help our clients to gain competitive advantage and outpace their competitors.
Decision-centric
Our AI tools are purpose-built to deliver decision-centricity. Decision-centricity recognizes that not every insight drives behavior change in market. We use AI to help our clients to identify and leverage behavioral drivers and take actions that shift choice in market.
How do we select what to prioritize next?
We build methodologies that leverage AI’s current capabilities and anticipate where AI is going. Working with Dig Insights, our clients remain on the cutting edge of technology while also working with consultants who understand their business challenges.
We build methodologies that leverage AI’s current capabilities and anticipate where AI is going.
We identify the tasks that humans typically struggle with, are inconsistent at, or perform slowly. These are areas where AI can provide significant value, either by automating tedious processes, reducing human error, or speeding up tasks that would otherwise be time-consuming.
We identify the tasks that humans typically struggle with, are inconsistent at, or perform slowly. These are areas where AI can provide significant value, either by automating tedious processes, reducing human error, or speeding up tasks that would otherwise be time-consuming.
Dig Insights’ role is to fix a fragmented innovation lifecycle. This clear understanding of who we are and how we help our clients is key to informing where we focus our methodological innovation efforts. We launch AI tools that allow our clients to innovate more effectively and outpace their competitors.
Dig Insights’ role is to fix a fragmented innovation lifecycle. This clear understanding of who we are and how we help our clients is key to informing where we focus our methodological innovation efforts. We launch AI tools that allow our clients to innovate more effectively and outpace their competitors.
Examples of how AI is being integrated into our work
Recommendation engine
What: Allows you to predict performance of an innovation in a market where it has not been tested based on its performance in other markets where it has been tested.
Why it matters: Get more efficient (less time and less money) with your research.
AI Video Interview
What: An AI qualitative moderator that understands your information objectives and conducts a naturalistic interview and summarizes the learnings, complete with a show reel.
Why it matters: Makes agile qualitative research accessible. Bring the voice of the consumer to your stakeholders on demand.
Coming soon!
AI Video Interview
What: An AI qualitative moderator that understands your information objectives and conducts a naturalistic interview and summarizes the learnings, complete with a show reel.
Why it matters: Makes agile qualitative research accessible. Bring the voice of the consumer to your stakeholders on demand.
Coming soon!
AI Idea Generation
What: allows clients to generate new ideas, either blue sky or inspired by a set of existing ideas.
Why it matters: Smoothly integrates idea generation into the Upsiide platform so you can generate and test ideas within minutes.
Open Text Analysis
What: we’ve built our own open ended verbatim coding application, which has >90% overlap with human coders.
Why it matters: Allows us to ask more open ends and report faster than ever before
Open Text Analysis
What: we’ve built our own open ended verbatim coding application, which has >90% overlap with human coders.
Why it matters: Allows us to ask more open ends and report faster than ever before
Questions to ask an AI provider (so you know they’re legit)
Q&A SESSION
Between Two Joels: Synthetic Data Edition
It turns out the hype around synthetic data is both real and exaggerated. During this Q&A session our AI experts along with co-founder Ian Ash discuss what we should and should not be doing as it relates to synthetic data.
Want your AI questions answered?