Decoding Leadership

The episode contains several genuinely useful frameworks - the J-shape model, in media res storytelling coaching, and the counterintuitive point that AI makes champion-building more rather than less necessary - but these are diluted by extended personal anecdote, mutual reminiscing, and conversational filler that cuts actual insight-per-minute significantly.

“I have coined a thing which I don't talk about a whole lot, but um, I've coined a thing that I call the J shape”

“I think one of the overlooked pieces with advocacy is the advocacy for the customer”

The J-shape framework and the argument that AI increases rather than decreases the value of authentic human community are reasonably fresh framings, but the bulk of the episode recycles well-worn DevRel wisdom (advocates need engineering credibility, KPIs are squishy, conferences build community), and the in media res storytelling device is a classical concept rather than an original insight.

“I have coined a thing which I don't talk about a whole lot, but um, I've coined a thing that I call the J shape”

“the companies that are going to do this well in the future are the ones that are going to place a much higher emphasis on that advocacy. Can we understand what our users want through that advocacy function and actually feed that into the product”

Jason Yee is a genuine career practitioner - third advocacy hire at Datadog, prior hands-on roles at Gremlin, O'Reilly, and MongoDB - who has built programs at scale rather than just theorised about them; he is directly relevant to the topic and avoids thought-leader posturing, though he is not a C-suite operator with P&L responsibility.

“when I started at Datadog, it was our third advocate that was hired, did a ton of public speaking, but also wrote some code”

“in 2018, I was a nomad, and I didn't live anywhere. I packed up one large suitcase and I lived out of it. And I just went from conference to conference”

The guest names specific conferences (OSCON, Velocity, Fluent, Dash), provides a concrete date for Dash (June 9 - 10), references real personal data points (nomad in 2018, tens of thousands in monthly expenses), and cites a plausible market-size anecdote; however, there are virtually no hard metrics on advocacy ROI, program outcomes, pipeline influence, or champion conversion rates that would make claims actionable for a B2B operator.

“there were months that I had tens of thousands of dollars of expenses on my credit card”

“at Datadog we have Dash, which is our big customer conference, happens in New York this year. It's going to be June 9th and 10th”

The host arrives with a coherent question arc covering role definition, org design, career evolution, storytelling, conferences, and AI, which is better than most; however, there is no real pushback, no pressure on vague claims about squishy KPIs, and the prior personal relationship produces consistent enthusiastic validation rather than productive challenge.

“That's actually a really great example because it's the same company”

“I wish I had, um, picked your brain about this earlier. I could have used this structure, uh, so many times”