Augment your data with AI:
Artificial Intelligence Insights Agents
Elevate your strategic insights by augmenting existing data with AI, enabling more informed and confident decision-making.
Make learning a part of the work instead of additional work!
Benefit:
Add relevant insights to your team quickly by taking advantage of the vast knowledge openly available
Cultivate discussions amongst the team to access own insights and focus the team on what matters
#1. CustomGPT
Thick Data Questions
The purpose of this GPT is to inspire teams to ask "thicker" questions about the customer and category they are in.
How does it work?
User inputs category information, location, product etc. (anything they deem relevant)
GPT outputs overview of topic through an ethnographic and anthropological lens
Suggests questions for the team to discuss
Suggests questions for the customer
Suggests a series of online experiments for the team to acquire the desired insights
Recommends further deeper study
Invites the user to further inquire about its responses and knowledge through the chat / dialogoue
Use cases:
Teams with limited own insights wanting to efficiently take advantage of available and open online insights to complement and augment their own.
Teams wanting to make sure the deep expertise and knowledge og the cross-functional team is tap’ed into adding advantages to the team.
Teams planning a survey / customer research checking if they are asking the right questions
Teams interested in running online experiments to capture new insights giving them a competitive advantage
#2. CustomGPT
Customer Needs
This GPT takes information about your product, market and customers outputting suggested customer-needs statements based on developed customer needs frameworks.
Use cases:
Teams doing a customer centric approach wanting to make sure they get the right level of quality in their customer statements (inclusion)
Learning departments overwhelmed with the need for training looking for how to scale training to everyone
Learning departments wanting to increase the effectiveness and efficiency of their training by offering more precise learning and support at the right time (as part of the work instead of additional work).
How does it work?
User inputs category information, location, product etc. (anything they deem relevant)
GPT outputs primary and secondary motivation from an ethnographic and anthropological lens
Outputs customer needs-statements written in a voice-of-the-customer format
Lists common misunderstandins and biases regarding the topic
Using Artificial Intelligence and Large Language Models to rethink how we do corporate training. With tools like this we can:
Learning becomes an integrated part of the work — not an event or ceremony when you need it the least
Scaled learning, everyone has access to their own personal expert trainer (agent)
Offer a tool for doing the work instead of talking about what should be done we get it done!
Example output:
(input prompt: We are launching a new diabetes drug for type 2 diabetes in Argentina targeting physicians with patients who are able to stay active living a healthy lifestyle)
As a physician helping my patients stay active, I want to improve blood sugar stability so that they can maintain their physical and social activities and avoid limitations that would force them to change their lifestyle.
As a healthcare provider focused on sustainable diabetes management, I want to enhance treatment flexibility so thatpatients can adjust their regimen based on their daily routines and feel empowered to make healthier choices.
As a trusted advisor to my patients, I want to ensure treatment adherence so that patients remain engaged in their care and avoid the long-term risks of unmanaged diabetes.