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Does the value of your insights, analytics, or automated intelligence product sometimes feel invisible to buyers and users? Does your product have impressive analytics and AI technology, but user adoption and sales still are not where you want them to be?
While it has never been easier to build data-driven products, why does it still seem so hard to build indispensable data products that users can't live without—and will gladly pay for?
I’m Brian T. O’Neill, and on Experiencing Data — a Listen Notes top 2% global podcast — I help founders and B2B software product leaders close the Invisible Intelligence Gap through solo episodes and interviews with leaders at the intersection of product management, UX design, analytics, and AI.
If you’re building analytics, BI, or automated intelligence (AI) products, this non-technical show will help you better connect your product to outcomes, value, and the human factors that still matter — even in the age of AI.
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https://designingforanalytics.com/experiencing-data-podcast/
About the Host, Brian T. O'Neill:
https://designingforanalytics.com/bio/
Episodes
7 days ago
7 days ago
I've been seeing a recurring pattern with companies selling APIs, MCPs, data feeds, and other developer-focused AI products. While the technology is often sound if not impressive, sales momentum sometimes slows when prospects have to imagine how the product will create value in their own environment. My perspective on this is that the flexibility that makes these tools powerful can also make them harder to evaluate.
Flexibility can adversely increase the Invisible Intelligence Gap, and I think certain types of AI-based solutions (LLM) may actually increase this because the boundaries of the product are often so much wider than ever before (if not invisible to the buyer). So, how to close this gap? Well, one way is to build a visual UI that showcases what’s possible with your API/feed/data solution. You take the buyer out of the conceptual space and make things concrete. So today, that’s what we dig into: when to consider adding a UI, how far you need to go with it, how you can use Copilot/AI agents to help customize these example implementations, and the benefits you might see.
Highlights / Skip to:
- The challenges of selling API-based analytics and AI products (0:56)
- Why this topic matters right now (2:48)
- The Invisible Intelligence Gap that may be slowing your sales (3:34)
- Strategies for bridging the Invisible Intelligence Gap with a UI (user interface) layer (7:01)
- Client case study: the impact and results you may see adding a UI on top of your technical product (14:05)
- Signs that you should consider adding UI to your technical product (18:23)
- Leveraging humans’ highly developed visual system to help potential customers see the full value of your product (26:24)
- Conclusion (27:32)
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