The best PMs I know have a strange relationship with PRDs.
They write them diligently. They keep them detailed. And they quietly know that most of the real alignment happens despite the document, not because of it — in hallway conversations, Slack threads, and the five-minute debrief after a customer call that never gets written down.
If you ask them, they’ll defend the PRD. It’s the process. It’s how things are done. But watch how they actually work and you’ll notice something: the document is a ritual. The understanding travels through other channels entirely.
I think this gap — between the PRD as artifact and understanding as lived experience — is worth examining. Because something has changed that’s making that gap impossible to ignore.
Your Team’s Shared Drive Is a Graveyard
Every product team has a graveyard of PRDs.
Go ahead — open your team’s shared drive. Scroll past the ones from last sprint. You’ll find a PRD from Q1 that was outdated before engineering started the first ticket. A requirements doc that three stakeholders reviewed, each interpreting the same sentence differently. A spec someone is building from right now, unaware the customer data it references was invalidated two weeks ago.
Nobody will delete these documents. Nobody will update them either. They just sit there — half-true, vaguely trusted, quietly misdirecting anyone who opens them.
The PRD has been the primary interface between product thinking and engineering execution for twenty years. It’s the most important document in product development, and it almost never reflects reality.
We’ve treated this as a discipline problem. PMs need to keep their PRDs updated. Engineers need to read them more carefully. Stakeholders need to review them more thoroughly. Everyone knows this. Everyone agrees. And nothing changes — because the problem was never discipline.
The problem is the format.
The PRD Was Never the Knowledge
Why do PRDs exist?
A PRD is a translation layer. It carries a PM’s intent — the why, the for whom, the what matters — from one person’s head into a format an engineering team can build from. The PM talks to customers, synthesizes research, makes tradeoffs, and compresses all of that into a document: user stories, acceptance criteria, edge cases, wireframes.
The PRD was never the knowledge. It was the packaging. The best we had for a world where one person needed to hand off their understanding to a team that couldn’t be in every customer call, every strategy meeting, every Slack thread where the real reasoning happened.
And for a long time, it worked. When dev cycles lasted weeks, a PRD could stay accurate long enough to matter. When the PM was the single point of context, a well-written spec was an efficient broadcast mechanism. When the only readers were human engineers, prose and bullet points were a perfectly fine interface.
But notice the assumptions embedded in that model:
- The PM is the sole funnel of context.
- Build cycles are slow enough that a snapshot stays true.
- Every consumer of intent is a human reading narrative.
When all three of these were true, the PRD was a reasonable solution. Elegant, even. The problem is that all three stopped being true — not gradually, but in roughly the same 18-month window. And we’re still using the format as if nothing changed.
Here’s What Actually Breaks (And Why It Always Will)
Here’s what actually goes wrong. Not in theory — in practice, in the teams I’ve watched.
The PRD goes stale before anyone builds from it. This is so common that most teams have stopped noticing. PMs write detailed specs knowing they’ll be wrong by the time engineering starts. Some have adapted: they provide “high-level ideas” and let developers write their own tickets. This isn’t laziness. It’s the team implicitly acknowledging that detailed specs decay faster than they can be maintained. But the adaptation has a cost — developers fill in the blanks with assumptions, not intent.
The reasoning disappears. A PRD tells you what to build. It almost never tells you why this decision and not the alternative. It rarely links to the customer conversation that surfaced the need, the data that justified the priority, or the strategic goal it serves. This seems minor until something changes mid-build. A developer hits an edge case the spec didn’t cover. Without the reasoning behind the requirements, they can either block and wait — or guess. I’ve watched engineers start questioning the necessity of entire features, not because they’re difficult, but because the why never made it through the translation layer.
Context fragments by design. The customer insight lives in Dovetail. The strategic goal lives in a slide deck. The technical constraint lives in a Slack thread. The PRD copies all of this into one document — but it’s a copy, not a connection. The moment the source material changes, the PRD doesn’t know. It was supposed to be the single source of truth. It became yet another disconnected artifact in a sprawl of disconnected artifacts.
Alignment becomes theater. A polished PRD gives the appearance of shared understanding. Engineering “reviewed” it. Design “approved” it. Stakeholders “signed off.” But did everyone interpret the user stories the same way? Did anyone notice that requirement #4 contradicts the technical constraint on page 3? I’ve seen teams re-debate decisions from six months ago — not because anyone was careless, but because the original reasoning and evidence were never preserved in a form anyone could find. The PRD captured the conclusion. The thinking that led to it was already gone.
AI Didn’t Create This Problem, It Only Made It Impossible to Ignore
Now add AI to the picture and the failure becomes structural.
Developers with Claude Code, Cursor, and agentic workflows ship in hours, not weeks. A PRD written Monday morning is stale by Monday afternoon. Not because the PM was slow — because the pace of execution has outrun the format. The shelf life of a snapshot document has collapsed toward zero.
But the bigger shift is this: AI agents are now in the build loop. And an AI agent doesn’t need intent packaged in a narrative document with headers and acceptance criteria. It needs atomic, structured, connected context. What’s the goal? What did the customer say? What constraints exist? What was already decided and why?
Feed an agent a PRD and it’ll do its best. But it’s parsing narrative to extract facts — a lossy translation that the format was never designed for. You’re asking a machine to read a story written for humans and reverse-engineer the structured knowledge that should have been there all along.
There’s an irony here that I think is underappreciated. We spent years building increasingly sophisticated AI systems — and then we feed them our least structured, most lossy format for product knowledge. It’s like building a racing engine and fueling it with muddy water.
Some teams have already figured this out, at least partially. I’ve seen PMs enter user stories directly into AI coding tools, bypassing the PRD entirely — trying to get intent closer to where it’s consumed without the narrative translation layer. It’s a hack. But it reveals the real desire: get context to where it’s consumed, in the format the consumer needs it.
The Replacement Isn’t a Better Document
So if the PRD is breaking, what replaces it?
The instinct is to build a better PRD. A smarter template. An “AI-generated PRD.” PRDs with more sections, or fewer sections, or auto-updated sections.
I think this is wrong. I think it mistakes the packaging for the thing itself.
Look at what a PRD actually contains, decomposed:
| PRD section | What it actually is |
|---|---|
| Problem statement | A customer signal or learning |
| User stories | Desired outcomes |
| Acceptance criteria | Constraints and decisions |
| Background/context | Compressed references to conversations, data, and strategy |
Every section is a bundle of atomic information pieces that have been compressed into prose and stripped of their connections. The format forces you to flatten a web of interconnected decisions into a linear narrative — and then hopes the reader reconstructs the web in their head.
What if you didn’t have to flatten it at all?
This is the shift I think is coming — and I want to be precise about what I mean, because “context graph” and “living document” have been promised and underdelivered so many times that the words have lost their meaning.
I mean something specific. Instead of compressing product intent into a document, you keep the pieces as pieces — each with its own lineage and connections. A customer signal stays connected to the conversation it came from. A decision stays connected to the alternatives that were considered and the reasoning that tipped the scale. A constraint stays connected to the strategic goal it serves.
An engineer — or an AI agent — doesn’t get a 12-page document to skim. They get the specific why behind this requirement, the customer evidence behind this priority, the tradeoff that led to this constraint. They get exactly what they need, at the resolution they need it, with the provenance to evaluate it.
And when something changes upstream — a new user insight, a shifted strategic priority — every downstream decision that depends on it is flagged. Not by a PM frantically updating five documents, but structurally, because the connections exist.
The PM Was Never Supposed to Be the Document
Here’s what I think is actually happening, at a level below the tooling.
The role of the PM has been “the person who holds the context.” The PRD was the mechanism by which that context was distributed. The PM’s value was, in part, being the funnel — the person who synthesized everything and compressed it into a format others could use.
That model is breaking not because PMs are less capable, but because context can no longer live in one person’s head. The surface area is too large. The pace is too fast. The consumers of context now include machines that need structure, not narrative.
This doesn’t diminish the PM — it frees them. The hardest, most valuable parts of product management were never “writing the PRD.” They were the judgment calls: Which customer signal matters? Which tradeoff is right? Which constraint is real and which is assumed? If the PM spends less time on the translation and packaging — the mechanical work of turning understanding into a document — they can spend more time on the judgment.
I think we’re at the beginning of a genuine phase change in how product teams operate. Not because of any single tool, but because the atomic unit of product knowledge is shifting — from the document to the decision, the signal, the learning, the constraint. Each as a discrete, connected, queryable piece of shared understanding.
The PRD was the best container we had for twenty years. It was built for a world where one person held the context, build cycles were long, and every reader was human.
That world is gone.
What comes next isn’t a better document. It’s the end of the document as the primary container for product intent — and the beginning of something that’s been waiting to exist since the first PM looked at a stale spec and thought, there has to be a better way to do this.
There is.