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Experiencing Data w/ Brian T. ONeill (UX for AI Data Products, SAAS Analytics, Data Product Management)Author: Brian T. ONeill from Designing for Analytics
Is the value of your enterprise analytics SAAS or AI product not obvious through its UI/UX? Got the data and ML models right...but user adoption of your dashboards and UI isnt 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 helpbut youre concerned its all hype?My name is Brian T. ONeill, and on Experiencing Dataone of the top 2% of podcasts in the worldI 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 cant create business value with data if the humans in the loop cant or wont use your solutions.Every 2 weeks, I release interviews with experts and impressive people Ive met who are doing interesting work at the intersection of enterprise software product management, UX design, AI and analyticswork that you need to hear about and from whom I hope you can borrow strategies.I also occasionally record solo episodes on applying UI/UX design strategies to data productsso you and your team can unlock financial value by making your users and customers lives better.Hashtag: #ExperiencingData. JOIN MY INSIGHTS LIST FOR 1-PAGE EPISODE SUMMARIES, TRANSCRIPTS, AND FREE UX STRATEGY TIPShttps://designingforanalytics.com/edABOUT THE HOST, BRIAN T. ONEILL:https://designingforanalytics.com/bio/ Language: en-us Genres: Business, Management, Technology Contact email: Get it Feed URL: Get it iTunes ID: Get it |
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191 - Turning Agents into Software that Sells [Smarter!] with Zig.ai CEO Steve Ancheta
Episode 191
Tuesday, 31 March, 2026
I'm talking with Steve Ancheta, CEO of Zig, a platform designed to free sales teams from repetitive, non-revenue-generating tasks. CRM and logistical tasks can consume up to 72% of the week of a sales team, but Zig’s AI agents handle them so reps can focus on closing deals. Unlike tools built for managers, Zig follows a rep-first design—simple, intuitive, and aligned with the motivation to sell more—while also creating an intelligence layer that preserves institutional knowledge and accelerates onboarding for new hires. I wanted to chat with Steve about how he built a product that is both used—and worth paying for—with AI under the hood. Rather than relying on chat prompts, Zig surfaces prioritized tasks in panels and cards, integrates with CRMs and Slack, and builds confidence scores from user interactions. Because Steve comes from the world of sales—and that’s the domain his product sits in—I wanted to explore his “problem clarity” and share that with you, since I often find data and technical founders to be more solution-oriented and lacking in this area. Steve was an open book with me, and I’m hoping other founders trying to turn analytical complexity into commercial clarity can see how Steve is using AI and agents to make data work for end users—and worth paying for. Finally, I also challenge Steve to answer whether Zig.ai is a software company or a services company with a product behind the scenes—a question you might also ask yourself depending on your GTM model. Highlights/ Skip to: What is Zig.ai? (00:48) When managers see the value of a product but end-users don’t—and how product leaders need to react (5:20) What Zig’s UX is like and how it was designed (9:45) The sales process and risks salespeople face when demoing Zig (16:12) How Zig addressed their time-to-value challenge during the product experience (20:14) How Zig found a problem people were willing to pay to solve (24:16) We discuss whether an AI product company might be a services company with technology or a traditional software company (24:16) The Invisible Intelligence Gap Steve has observed within Zig’s business space (AI and analytics-powered sales tooling) (27:57) Why Steve isn’t worried about the major CRMs from building internal solutions to circumvent third-party tools like Zig (35:37) Steve Ancheta’s advice for trying to bring sophisticated data products to market (39:26)
