Newsletter Edition #5 - August 2024
<aside> <img src="/icons/info-alternate_gray.svg" alt="/icons/info-alternate_gray.svg" width="40px" /> Welcome!
If you're here, you’re looking to take your customer research to the next level with AI - but you're probably facing one of these tough barriers:
A. Your employer doesn’t allow you to do much with AI at work (though you know that this is holding the company, and YOU from keeping up with the market). 🤦♀️
B. You’re hesitant (or, honestly, terrified) to use your team’s real data, for fear that releasing confidential info into the AI void might result in misuse, making it publicly accessible, using it to train the AI… 🙅♀️
If that feels familiar, then this guide was made for you.
I’ll show you six ways to gather and use low-risk data to test AI tools - without risking data with your customers’ PII and your team’s secret product plans.
My goal:
To get you unblocked, test AI immediately, and **learning AI skills with low risk so you won’t get left behind.
What to expect:
Whether you’re just starting out or want to run more AI experiments than ever, this guide will walk you through multiple data sources, tests and how to implement them.
Let’s get started!
</aside>
Expand each of the following six data sources to see how to get the data, an idea for testing AI customer research workflows with the data, and tools to use.