Handoffs are the
silent killer
Why biasing toward end-to-end ownership improves both speed and quality.
The thing I hate most about traditional product orgs is that everyone can do their job correctly and still ship (1) a bad product or (2) a good product way too slowly.
As we hand off from product to design to engineering to marketing, everyone participates, but no one is a clear owner.
The old industrial model doesn't fit anymore.
The industrial model was built for exactly this. Break work into stations. Specialize at each one. Lob it down the line. We tolerated the quality loss from artisans because the alternative — one person doing all of it — meant giving up on either skill depth or speed.
Now LLMs collapse execution cost across domains. The ceiling on what one person can ship, at acceptable quality, just went up by an order of magnitude. The reason to hand off used to be “this person is faster at their part.” The new math says the fastest path is often one person doing all of it, because the handoff itself is the expensive step.
Handoffs are context transfers, and context leaks every time. The PM has the nuance. Writes a spec that captures most of it. The designer reads, loses some. The engineer reads the mocks, loses more. By the time it ships, the original insight has been compressed five times.
Consult, don't delegate.
The objection is always “I'm not the expert here.” It's correct but beside the point.
You can consult a designer. Ask about spacing, ask about hierarchy, ask them to sharpen the piece you're holding. You should. What you can't do — what I've learned you should never do — is hand them the whole problem. The moment it's their problem, it's no longer your problem, and your caring shuts off. And realistically they don't care much either because even though it's on their plate now, it wasn't originally their problem.
The thread through every role: everyone owns the thing at least one step past their traditional boundary. That's how the seams stop leaking.
A concrete example.
We were building a bot that pulls winning bets from our tracker and posts them as tweets. Clear value in creating more top-funnel impressions. I scoped it and set up the usual rhythm. Meetings. Reviews. Feedback.
Two weeks in, we had an internal product. But nothing we would have actually tweeted.
The classic handoff failure. Edge cases rose up during implementation without a clear owner. Engineering naturally wanted marketing to hand over a larger set of reference tweets to train the model. Marketing wanted engineering to build the scraping infrastructure. Neither side was wrong. Both were waiting on the other. Every delay was due to agreeing on the optimal approach.
I decided to pick up the work during a free morning to understand the limitations better.
I scraped hundreds of reference tweets through Apify, pulled bets directly from our tracker's public endpoint, wired it into Claude, ran a few feedback loops on the output, scripted them to X, and had a working prototype by the early afternoon. I admittedly didn't know how to solve all the edge cases at the start, but by focusing on the north star of “well-written tweets posted with real data,” building the prototype made the edge cases visible and settled the open questions by demonstration instead of argument.
When a project has a lot of nebulous edge cases, it can be legitimately faster to resolve them by building and iterating than by meeting. Once the prototype existed, I could hand it back to engineering and marketing in better shape than any spec I could have written.
Handoffs are the tax of any team. And when the handoff stalls, the person with the most context needs to move it forward. Instead of reaching for the “Align on X” Google Calendar event — reach for Claude.