AI Questions We Hear All The Time
How can we use AI to make our product better without losing what makes it human and valuable to users?
Use AI to amplify what your users already love and don’t automate away the soul of your product. Here’s how we strike the right balance.
What kind of ROI can we realistically expect from integrating AI into our customer experience?
The returns are real, but only when AI is truly aligned with what your users need and your business goals. Let’s break down what to expect and how to measure it.
We’re interested in AI, but where should we start? What problems is it actually good at solving?
Don’t start with tech, start with your users. We’ll help you identify high-impact use cases AI can actually solve well.
Are our competitors already using AI—and if so, how?
Most likely, yes, but not always wisely. Here's what to watch for (and how to leapfrog them with better design)
How do we make sure the AI in our product is actually usable, trustworthy, and intuitive for our users?
Trustworthy AI doesn’t happen by accident—it’s designed from the ground up. Here’s what that looks like.
Can AI make our onboarding, support, or personalization smarter without being creepy or confusing?
Absolutely, if clarity, consent, and control are at the core of the user experience. Here's how to do it right.
What kind of training or mindset shift does our team need to design with AI in mind?
Designing with AI requires a shift in thinking—not just new tools. We’ll show you how to build AI literacy across your team.
How do we test and validate AI features, especially when they're based on probabilities or unpredictable?
You can’t rely on typical UX tests alone. Here’s how to prototype, simulate, and stress-test AI features with real users.
Do we need to hire machine learning engineers, or can we get started with off-the-shelf tools?
You almost certainly don’t need to build from scratch. Start small with the right tools, test, then scale up.
How do we ensure our use of AI aligns with privacy regulations and ethical standards?
Ethical, compliant AI starts with intentional design. We’ll walk you through benchmark ethical AI audit frameworks developed at Stanford to make sure you are on the right track.