Specs

How to write PRDs in 2026

A head of product admitted their PRD process still feels clunky — starting from scratch every time, digging through notes, unsure if engineering even reads the thing. Here's a process that fits the new tools.

The Cadenly TeamUpdated June 30, 2026

A head of product asked the unglamorous questions everyone has and few answer: templates or blank page every time? How do you get from customer interviews to the actual spec? Is anyone using AI for this, and how's it going? Does engineering even read the full thing? They weren't after the "perfect process" — just what actually works now.

What's changed in 2026 isn't the destination — engineering still needs a clear, grounded spec. What's changed is that AI can do a lot of the assembly, which means the PM's job shifts from writing to curating and grounding. Here's a process built around that.

Start from evidence, not a blank page or a template

The "blank page vs. template" debate is a false choice. You start from neither — you start from material. The interview transcript, the support tickets, the existing product behavior, the strategic context. Gather those first. The blank page is paralyzing because you're trying to conjure content; the template is hollow because you're filling slots with guesses. Material gives the draft something true to be made of.

The process

  1. Collect the real inputs. Transcripts, tickets, the relevant part of the product or codebase, the why. This is the part you can't skip and the part AI can't fake.
  2. Have AI assemble a draft from those — grounded, with each claim traceable to its source. Not "write me a PRD about onboarding"; "here's the call and the tickets, draft the spec and flag what's missing."
  3. Work the gaps, not the prose. The model's flagged gaps and the edge cases it couldn't resolve are the actual work. Polish is cheap; closing gaps is the job.
  4. Pin down the product decisions at every boundary — the calls only you can make.
  5. Keep it living. When a decision changes, change the spec in place. A current short spec beats a perfect stale one.

Do engineers even read it?

Often, no — and that's a signal about the spec, not about engineers. They don't read the 10-page narrative because most of it is context they don't need wrapped around the few decisions they do. Write the version that's mostly decisions and boundary behavior, traceable and current, and they'll read it because it's the thing they actually need. The unread PRD is usually the over-written one.

Key takeaways
  • Blank-page vs. template is a false choice — start from real material instead.
  • The PM's job shifted from writing to curating and grounding an AI-assembled draft.
  • Work the gaps the model flags, not the prose — gaps are the real job.
  • Engineers ignore the 10-page narrative; they read the version that's mostly decisions.

Write PRDs the 2026 way in Cadenly

Cadenly assembles a grounded draft from your real inputs, flags the gaps, and keeps the spec living — so your job is curating and deciding, not staring at a blank page.

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