It’s impossible to deny AI as the most promising new tool in every B2B company’s stack. But extracting value from this recent newcomer requires designs that account for its unique downsides.
The Reality
Your core use case just got more interesting, thanks to the promise of AI.
You’re struggling to get the results users want, or are simply underwhelmed.
It’s an arms race: everyone is sprinting to crack the same nut before you do.
Common UX Issues
Results are unpredictable when AI owns too much of the solution.
Non-expert customers are incapable of fixing what generative AI creates.
Where AI power is subdued, gains are marginal over non-AI solutions.
Hilarious mishaps that don't live up to your ideal brand image.
AI Design Principles
Treat AI as a utility, not an advantage: It’s not the reason your users are here—you are.
AI doesn’t add value—it multiplies the value of an existing idea or solution.
Maturity takes time. For any one idea, explore multiple levels of AI involvement.
Your job is to support users, no matter how much product influence you give to AI.
Discovery Questions
What unique outcome are you trying to create for your customers?
What has been the hardest part about getting good results with AI?
How is your approach distinct from similarly positioned teams?
How is AI being applied by similarly positioned product teams?
Let’s design a solution that strikes an effective balance between AI’s emerging power while avoiding its unique downsides.
Our work is quality. But you don't have to take our word for it.
Concise, achievable objectives. No creep. No drift. No surprises.
We check in afterward, ensuring our designs work in reality.
Let’s talk about your immediate challenges, and how we can target them with a limited effort.
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