Blended Workforces at Work

The episode contains some useful practitioner insights about LMS selection criteria, customer success prioritization, and scaling challenges, but much of the content is either high-level platform description, personal anecdotes (weather, kids, sports), or restated best practices (focus on business goals, test learner experience). Few novel or non-obvious claims per minute; significant padding with introductions, personal chitchat, and setup.

“really understand what it is you're looking to achieve. So who, who those audiences are you're looking to train and what kind of workflows and features you need”

“the real insights come when you combine it with data from your CRM, for example or your customer support platform or whatever it might be”

The episode largely recycles standard LMS and B2B SaaS playbook thinking: ease of use, customer success partnerships, integrations, AI as a tool, and the tension between customer requests and roadmap priorities. No contrarian arguments, first-principles thinking, or counterintuitive insights. The advice on selecting LMS (understand business goals, test UX, check integrations) is sound but widely known in the L&D space.

“we assign a customer success manager to our customers and we put a result strategy in place so we see ourselves more than just a technology piece of software, but actually a true partner”

“make sure and think about the learner experience. Because if that's not um, a great experience. Well firstly people won't want to consume the content”

Brendan Noud is the CEO and co-founder of a legitimate, 13-year-old, 300+ person SaaS company with strong traction (1500+ customers, 70%+ in US market). He has relevant deep domain experience (20+ years in L&D/LMS space, prior roles at KPMG and WBT Systems). However, he is primarily a vendor/solution provider rather than a customer-side operator, which limits caliber for a B2B podcast focused on what operators learn about running their own businesses.

“I'm now over 20 years in the space”

“we started at the kitchen table back in 2012 and today we've over 300 people globally”

The episode includes some concrete numbers (300 employees, 1500+ customers, 70% US-based, 13 years old, $50 people team in Salt Lake City, 247 support model) and named examples (USA Football, Salesforce, HubSpot, KPMG, WBT Systems). However, most customer-facing claims lack specificity: no metrics on customer outcomes, ROI improvements, time-to-value, or usage benchmarks. AI and feature claims are vague (e.g., 'AI coach,' 'reflection coach') with no quantified impact.

“we're very international. I think 98% of our customers are international with about over 70% in the US”

“we have a great team now that I follow the sun model, um, from Dublin hands over to our team in Philadelphia to our team in, uh, Phoenix through to our team in Sydney”

The host asks reasonable opening questions about background and business basics, but rarely probes deeply or pushes back. Questions are often soft (e.g., 'What's the weather like?', 'Will you tell us about your life outside work?'). When challenging topics arise (fads vs. substance, tension between customer requests and engineering priorities), the host does not follow up with incisive follow-ups or press for nuance. Brendan's answers are never meaningfully challenged, and the host frequently validates his points rather than test them.

“So I'm curious how as you grew learn upon how tough was it to have um, a significant customer base in a country other than yours”

“And that's very, very courageous to do”