Data Driven

The episode covers genuinely useful ground around baseline planning and stakeholder alignment before comms initiatives, but most claims are common sense for any experienced HR or comms practitioner. The ratio of novel ideas to generic filler is low for a 24-minute episode.

“it weeds people out. They're like, oh, Lord, I don't know. And I'm not ready to release this thing until I figure that out. Or they'll say, okay, I think we can measure it this way. And that opens that door to saying, okay, well, before we do anything, give me the data that you have.”

“any kind of data signals, any signals you can get to improve your delivery of whatever it is, you should be using it”

The episode recycles well-worn corporate comms wisdom - know your audience, be authentic, measure what matters - without any counterintuitive or contrarian framing. The brief AI caution is the only mildly fresh observation, and it is underdeveloped.

“If you're just using AI, you're gonna read the same way that people are like, oh, uh, this was written by some corporate person. It's the same thing you're gonna know.”

“Comms has got to be a strategic advantage. It cannot be your nice to have or your politics, you know, your propaganda. It has to be more than that”

Carolyn Clark holds a relevant VP-level practitioner title and speaks from lived experience, but her answers are frequently vague, rely on hypothetical examples rather than real case studies, and she openly admits she hasn't always done it right herself - limiting the demonstrable depth of at-scale execution.

“I don't think everybody's doing it right. I don't think I've even done it right.”

“We surveyed recently, and a lot of people are not measuring at all, which is nuts.”

Despite being a show explicitly branded around data-driven decision making, the episode contains almost no concrete numbers, named companies, or real case studies; the guest teases statistics and a recent survey but never delivers any figures, and the one 'specific example' is entirely hypothetical.

“there's all this data, uh, I can throw you some stats if you want, but there's all these stats about people who have employee communications, have better retention, have higher revenue”

“if I know that 80% of the people watch the video over reading this long form, that's going to give me a signal”

The host asks one genuinely sharp follow-up around the attribution problem - how to prove causation to a sceptical CEO - which is the episode's best moment, but most questions are generic prompts and the host openly confesses ignorance rather than pressing with informed challenges.

“even if you hadn't done the fantastic work you did in comms, people would have used the tool anyway because it's a terrific tool. And so you can never 100% with certainty, tie the effort to the outcome. A bit of a challenge. How do you work around that”

“I asked the question because I have no idea. So I was hoping to learn something and I did.”