title: "Okay, So I Tried That AI Tool for Writing PRDs... Here's What I Found." date: "2025-04-29" excerpt: "Let's be honest, nobody loves writing PRDs. So when an AI promises to make it painless, you raise an eyebrow. I took one for the team and kicked the tires on this thing claiming to whip up product requirements documents from a description. Worth your time? Maybe. Depends what you're hoping for."
Okay, So I Tried That AI Tool for Writing PRDs... Here's What I Found.
Right, let's talk product requirements documents. PRDs. The backbone, the necessary evil, the place where product vision meets technical reality. If you're in product management, you know the drill. Hours spent wrestling format, ensuring clarity, making sure engineering actually understands what you mean. Anyone who's had to figure out how to write a good PRD quickly knows it's rarely quick.
So when I saw this tool pop up – the one at textimagecraft.com/zh/prd-analyzer – promising to be a kind of indispensable assistant, maybe even the essential tool for product managers looking to generate efficient and accurate PRD requirement documents... well, my first reaction was a healthy dose of skepticism. An AI just whips up a good PRD from a description? That sounds... ambitious. Maybe a little too good to be true?
Let's be honest, the world doesn't need another fancy text generator that just rephrases your input in slightly more corporate-speak. We're drowning in that. What we need is something that genuinely helps automate PRD writing, that can take a messy brain dump or a brief concept and actually structure it into something usable. We need help saving time on PRD writing so we can focus on the thinking part of the job, not the formatting and drafting part.
My curiosity got the better of me. I figured, worst case, I waste five minutes. Best case, maybe this thing is actually onto something. Maybe it can help lift some of the tedious parts of drafting product specs.
So, how does it work, supposedly? You feed it a description. Could be a user story, a paragraph explaining a new feature idea, whatever. The promise is it then analyzes this input and generates a structured PRD. It's aiming to take the raw concept and map it to sections like goals, user stories, acceptance criteria, maybe even technical considerations or edge cases.
The pitch is compelling for anyone who's ever stared at a blank document or struggled with PRD format. Imagine typing in "Users need a way to bookmark articles so they can read them later," and getting back a draft with sections for the goal, the specific user story ("As a [type of user], I want to [do something] so that [benefit]"), and maybe even prompting you for acceptance criteria or technical notes.
Does it work like magic? Based on kicking the tires a bit and the general reality of AI tools today, probably not perfect magic. The key is likely in the quality of the initial description you feed it and what kind of structure it applies. Is it a rigid template filler, or does it have some intelligence in interpreting context? Can it handle nuance? Does it ask clarifying questions (unlikely in a simple web form, but one can hope)?
Here's where I think the real value might lie, if the execution is decent:
- Beating the Blank Page: It gives you a starting point. Sometimes just seeing a structure populated with something relevant can be a massive help if you're getting started with PRDs or facing writer's block.
- Consistency: If your team lacks a standard PRD template, or people are inconsistent, a tool like this could enforce a baseline structure.
- Speed for Simple Features: For straightforward requirements, it might genuinely shave off drafting time. You input, it outputs a first pass, you refine.
But here's the catch, and why I'd caution against treating it as a full replacement for human thought: A good PRD isn't just a collection of sections. It's a document that communicates context, strategy, edge cases discovered through deep thinking, trade-offs considered, and underlying assumptions. It's a living document that evolves through discussion. Can an AI capture that depth and nuance? Can it challenge your assumptions or point out logical gaps? Not yet, I suspect.
So, is it an essential tool? Maybe not "essential" in the sense that you absolutely can't function without it. But could it be a valuable assistant? Potentially. Especially for junior PMs learning the ropes, or for seasoned PMs trying to speed up the initial draft on less complex features.
It looks like it's trying to address a very real pain point: the overhead involved in documenting product requirements accurately and efficiently. If it helps product managers save time on PRD writing, even just by getting a solid first draft out, then it has value. It's not about completely automating the PM's job, but about automating the document creation part of it.
My take? Worth exploring if you're constantly buried in documentation or struggling with PRD format. Don't expect it to read your mind or replace stakeholder meetings. Think of it as a fancy, proactive template – one that tries to understand your input and structure it intelligently. The proof, as always, will be in the output. How "accurate" and "efficient" are the documents it actually generates? That's the real test.
For now, it sits in the category of "promising AI tools for product management" – something worth keeping an eye on, and maybe giving a spin to see if it fits into your workflow for tackling those ever-present product requirements documents. Because anything that makes the PRD process slightly less painful is probably worth a look.