PodcastsRank #20552
Artwork for Experiencing Data with Brian T. O’Neill

Experiencing Data with Brian T. O’Neill

TechnologyPodcastsBusinessManagementEN-USunited-statesDaily or near-daily
4.9 / 5
Is the value of your enterprise analytics SAAS or AI product not obvious through it’s UI/UX? Got the data and ML models right...but user adoption of your dashboards and UI isn’t what you hoped it would be?While it is easier than ever to create AI and analytics solutions from a technology perspective, do you find as a founder or product leader that getting users to use and buyers to buy seems harder than it should be?If you lead an internal enterprise data team, have you heard that a ”data product” approach can help—but you’re concerned it’s all hype?My name is Brian T. O’Neill, and on Experiencing Data—one of the top 2% of podcasts in the world—I share the stories of leaders who are leveraging product and UX design to make SAAS analytics, AI applications, and internal data products indispensable to their customers. After all, you can’t create business value with data if the humans in the loop can’t or won’t use your solutions.Every 2 weeks, I release interviews with experts and impressive people I’ve met who are doing interesting work at the intersection of enterprise software product management, UX design, AI and analytics—work that you need to hear about and from whom I hope you
Top 41.1% by pitch volume (Rank #20552 of 50,000)Data updated Feb 10, 2026

Key Facts

Publishes
Daily or near-daily
Episodes
100
Founded
N/A
Category
Technology
Number of listeners
Private
Hidden on public pages

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Public snapshot
Audience: Under 4K / month
Canonical: https://podpitch.com/podcasts/experiencing-data-with-brian-t-o-neill
Cadence: Active weekly
Reply rate: 5–10%

Latest Episodes

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187 - Can’t Close the Sale? The Invisible Reasons Prospects Aren’t Buying Your Technically Superior Analytics or AI Product (Part 1)

Wed Feb 04 2026

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I’m digging into a frustrating reality many teams face: even technically superior analytics and AI products routinely lose deals—not because the KPIs or models aren’t good enough, but because buyers and users can’t clearly see how the product fits into their day-to-day work. Your demos and POCs may prove what’s possible, but long time-to-understanding, heavy thinking burden on the user, and required behavior or process changes introduce risk—and risk kills momentum. When value feels complicated, sales don’t move forward.     Adding to the challenge is that many sales efforts focus almost entirely on the fiscal buyer while overlooking the end users who actually have to adopt the product to create outcomes. This buyer–user mismatch, combined with status quo bias, often leads to indecision rather than change. To address this, I explore the idea of thinking about the sales challenge as a product problem—and I introduce the idea of achieving Flow of Work Alignment (FOWA). The goal isn’t better persuasion—it’s clearer value. Strong FOWA means transitioning from demonstrating capabilities to helping customers see themselves—and their workflows—represented in your demos and POCs. The result? Prospects understand your value quickly, ask deeper, contextual questions, and deals move forward.      Highlights/ Skip to: Data products must work harder to expose value clearly to avoid the dreaded “closed-lost” deal stage in your CRM (1:38) Making your data product’s value instantly obvious (5:18) How the “old model” of selling based on capabilities and feature demos can lead to lost sales (7:22) What  Flow-of-Work Alignment is and how it can help you unlock deals (13:02) How to know if you have achieved FOWA or not in your product and sales process (13:58)

More

I’m digging into a frustrating reality many teams face: even technically superior analytics and AI products routinely lose deals—not because the KPIs or models aren’t good enough, but because buyers and users can’t clearly see how the product fits into their day-to-day work. Your demos and POCs may prove what’s possible, but long time-to-understanding, heavy thinking burden on the user, and required behavior or process changes introduce risk—and risk kills momentum. When value feels complicated, sales don’t move forward.     Adding to the challenge is that many sales efforts focus almost entirely on the fiscal buyer while overlooking the end users who actually have to adopt the product to create outcomes. This buyer–user mismatch, combined with status quo bias, often leads to indecision rather than change. To address this, I explore the idea of thinking about the sales challenge as a product problem—and I introduce the idea of achieving Flow of Work Alignment (FOWA). The goal isn’t better persuasion—it’s clearer value. Strong FOWA means transitioning from demonstrating capabilities to helping customers see themselves—and their workflows—represented in your demos and POCs. The result? Prospects understand your value quickly, ask deeper, contextual questions, and deals move forward.      Highlights/ Skip to: Data products must work harder to expose value clearly to avoid the dreaded “closed-lost” deal stage in your CRM (1:38) Making your data product’s value instantly obvious (5:18) How the “old model” of selling based on capabilities and feature demos can lead to lost sales (7:22) What  Flow-of-Work Alignment is and how it can help you unlock deals (13:02) How to know if you have achieved FOWA or not in your product and sales process (13:58)

Key Metrics

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Pitches sent
16
From PodPitch users
Rank
#20552
Top 41.1% by pitch volume (Rank #20552 of 50,000)
Average rating
4.9
Ratings count may be unavailable
Reviews
19
Written reviews (when available)
Publish cadence
Daily or near-daily
Active weekly
Episode count
100
Data updated
Feb 10, 2026
Social followers
1.1K

Public Snapshot

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Country
United States
Language
EN-US
Language (ISO)
Release cadence
Daily or near-daily
Latest episode date
Wed Feb 04 2026

Audience & Outreach (Public)

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Audience range
Under 4K / month
Public band
Reply rate band
5–10%
Public band
Response time band
3–6 days
Public band
Replies received
100+
Public band

Public ranges are rounded for privacy. Unlock the full report for exact values.

Presence & Signals

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Social followers
1.1K
Contact available
Yes
Masked on public pages
Sponsors detected
Private
Hidden on public pages
Guest format
Private
Hidden on public pages

Social links

No public profiles listed.

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Audience & Growth
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Monthly listeners49,360
Reply rate18.2%
Avg response4.1 days
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Sponsor signals
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Sponsor mentionsLikely
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4.9 / 5
RatingsN/A
Written reviews19

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Frequently Asked Questions About Experiencing Data with Brian T. O’Neill

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What is Experiencing Data with Brian T. O’Neill about?

Is the value of your enterprise analytics SAAS or AI product not obvious through it’s UI/UX? Got the data and ML models right...but user adoption of your dashboards and UI isn’t what you hoped it would be?While it is easier than ever to create AI and analytics solutions from a technology perspective, do you find as a founder or product leader that getting users to use and buyers to buy seems harder than it should be?If you lead an internal enterprise data team, have you heard that a ”data product” approach can help—but you’re concerned it’s all hype?My name is Brian T. O’Neill, and on Experiencing Data—one of the top 2% of podcasts in the world—I share the stories of leaders who are leveraging product and UX design to make SAAS analytics, AI applications, and internal data products indispensable to their customers. After all, you can’t create business value with data if the humans in the loop can’t or won’t use your solutions.Every 2 weeks, I release interviews with experts and impressive people I’ve met who are doing interesting work at the intersection of enterprise software product management, UX design, AI and analytics—work that you need to hear about and from whom I hope you

How often does Experiencing Data with Brian T. O’Neill publish new episodes?

Daily or near-daily

How many listeners does Experiencing Data with Brian T. O’Neill get?

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