What a good PRD actually looks like in 2026

A PM with three years in put it well: every PRD they see is AI slop, the good ones feel like a mythical beast, and they wanted to know what "good" actually looks like. In the same breath, people in other threads are feeding one-line ideas to ChatGPT or Claude, getting back a tidy document, and asking if that counts — and arguing that the prompt, not the platform, is what makes it good.

Here's the thing that cuts through all of it: a good PRD is not defined by its structure. Structure is the easy part. AI gives you perfect structure for free. A good PRD is defined by whether the content is real.

The structure is table stakes, not the point

Problem, goals, non-goals, users, requirements, acceptance criteria, success metrics, open questions — every decent PRD has roughly these sections, and a model populates all of them in seconds. If you're judging PRDs by whether the sections are present, every AI PRD passes and most of them are still useless. The sections are the container. The container was never the problem.

What separates real from slop

• The user is a specific person, not "a user who wants to get started." A good PRD's user has a name, a context, and a quote from a real conversation.
• The requirements trace to evidence. Each one points back to a transcript line, a support ticket, a decision — not to the model's sense of what a requirement should say.
• The acceptance criteria include the unhappy paths. Slop covers the happy case. Real specs cover what happens when it goes wrong, because that's where engineering lives.
• The success metric is yours. Not "increase engagement" — the specific number your leadership already tracks and cares about.
• The open questions are honest. A good PRD says "we don't know X yet" instead of fabricating a confident answer to look finished.

Why "the prompt makes the difference" misses it

The prompt-versus-platform debate is real but small. A better prompt gets you a better-organized, better-toned document. It does not give the model context it never had. You can prompt your way to a beautifully structured PRD about a user who doesn't exist. The lever that turns slop into "good" isn't the prompt or the model — it's the evidence you put in front of either one.

So the mythical good PRD isn't mythical. It's just one where someone did the unglamorous work of grounding every section in something real, and refused to let the document fill its own gaps with plausible fiction. That's harder than picking a template. It's also the entire difference.