The Product Podcast

The episode contains a handful of genuinely useful ideas - humans-as-evals, compounding context graph, PLG and FDEs moved inside the product org - but roughly half the runtime is market commentary, product-brand positioning, and broad category description that adds nothing actionable. The useful ideas are spread thin across 25 minutes.

“human beings are becoming like evals, right? We are evaluating the quality of the output. As you say, 'Yes,' 'No,' 'Approve,' 'Change,' that's feeding back into the shared memory for the agent that gets written back into the context graph.”

“Even if you start out with a shallow graph, if you can create this loop where it's proposing ideas or proposing specs or proposing PRs that are terrible, but you're, as a human being, giving it feedback and you're correcting it, and that correction is getting automatically recorded, you will get way, way, way faster every week, every month, every year.”

The 'humans as evals' framing and the headless-vs-multiplayer distinction are somewhat fresh angles on enterprise AI, and the org-design move of putting PLG and FDEs under the CPO with revenue accountability is a concrete, non-obvious structural choice. But the rest leans on standard context-graph moat and picks-and-shovels narratives that circulate widely.

“They're not Carlos's agent or Arnab's agent. They're a teammate. And you can think about what is the role-based access control, or what projects or portfolios that teammate should be assigned to.”

“We have thought about two different modalities of work. One is we want to express the Asana Work Graph in as rich a way as possible via MCP and MCP UI into all of the apps... The other flow that's very interesting is what happens for multiplayer use.”

Arnab Bose is a genuine senior practitioner: CPO of a public company, previously CPO at Okta where he scaled Identity Governance from zero to over $100M ARR, with earlier stints at Salesforce and Microsoft. He has clearly done the thing at scale and speaks with operational credibility, though the conversation doesn't fully exploit his depth.

“working at Okta previously and seeing a phenomenal uptake of non-human identities in the enterprise, it was clear to me that LLMs and AI products would upend the system.”

“We have an incubation team of AI specialists who are forward-deployed engineers reporting up to the general manager for Asana AI, who reports up to me.”

There are some concrete specifics - Okta Identity Governance at $100M ARR, the PLG target band of 50-plus to Fortune 500, the three-GM org structure, the MCP-connected agentic coder workflow - but the most important claim (zero percent enterprise AI productivity gains from Goldman/McKinsey) is cited without naming any specific report or methodology, and Asana's own AI results are described entirely in qualitative terms.

“all of the research that came out last year from Goldman Sachs and McKinsey about real productivity gains in the enterprise after AI spend had gone up, all those results came back at 0%.”

“we've intentionally focused the PLG business in that area where we're looking at 50-plus all the way to Fortune 500 companies”

Carlos asks competent framing questions and one notably sharp single-word follow-up ('Automatically.') that surfaces an important confirmation, but he never challenges any of Arnab's claims, doesn't press for data behind the zero-percent productivity assertion, and several questions are broad prompts that allow the guest to give prepared product-marketing answers rather than forcing precision.

“Automatically.”

“I think we need to address the elephant in the room. For people who work in SaaS, they're like, 'Oh my God, the SaaSpocalypse.' What is happening from your perspective?”