Resources
I help product leaders design the translation layer between what your analytics product can do and what your customers/prospects need to understand to see value and take action. This includes:
- Differentiating your product through clarity, usability, and utility
- Solving your Invisible Intelligence problem: you've got amazing AI/analytics, but users aren't seeing the value
Need help now? Work with me or view my case studies:
Start Here:
The Invisible Intelligence Gap
Your B2B analytics or AI product may be technically excellent — and still not getting bought or adopted. The Invisible Intelligence Gap explains why your product's value isn't landing with buyers and users, and the three key reasons for this.
Designing and Selling B2B AI Products [Worth Paying For]
With GenAI and LLMs comes great potential to delight and damage customer relationships—both during the sale, and in the UI/UX. How should AI company founders and product leaders adapt?
Why Your Analytics Product Isn't Getting Used (or Bought)
Buyers not buying, and users not using? Here are the top (5) reasons founders, CxOs, and product leaders reach out to me for help—and (20) issues I commonly see.
Resources and Frameworks:
CED UX Design Framework for Analytics Products
CED = Conclusions-Evidence-Data
A 3-part UX design framework for designing advanced decision support applications and tools specifically designed for data product leaders. Article and audio formats.
LLMs need UX: How to Increase Your B2B Product's Value with AI (Part 1)
Available in article and podcast format.
See also Part 2.
The MIRRR UX Framework for Designing Trustworthy Agentic AI Applications (Part 1)
Available in article and podcast format.
See also Part 2.
The PiCAAG Framework for Envisioning AI Use Cases from User Research
A 5-part method to generate ML/AI use cases based on customer discovery research—framed with a UX lens.
🎧 Podcast
Top 2% of all podcasts in the world. Over 190 episodes; drops bi-weekly.
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