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Make a product requirements document
Turn PDFs into a product requirements document
Research, tickets and specs, turned into the problem statement they were always circling.
Free to try, no card. Your PDF opens in Ancher.
Document structure in orderPage numbersTables as tables
Kept in parts
Every one of these stays separately addressable instead of collapsing into one block of text.
ProblemUsersScopeSuccess metrics
Product requirements document
The problem, the user, the scope, and how success gets measured.
The material that justifies a product decision usually already exists as documents — a research write-up, an incident report, a spec from the last attempt. Ancher keeps each one's structure so a findings section stays distinguishable from a recommendations section, holds page anchors so a requirement can cite its evidence, and preserves tables so a measured number stays attached to what it measured.
The honest version
A recommendation in a research document is not a requirement
Research write-ups end with recommendations, and those are the easiest thing to lift into a scope section — which is how teams build what a researcher suggested rather than what the finding demanded. The finding and the recommendation sit in different sections of the same document, and keeping them apart is the whole discipline.
One page of one PDF, at p. 15, read two ways.Illustrative. The figure is invented; the gap it falls into is not.
participants consistently failed at this step, as recorded in the summary table
In Table 4 — not readThe specific never reaches the draft
Product requirements document
In Table 4
9 of 12 abandoned
from p. 15
Lands in the draft, with its timecode
- Findings are extracted separately from recommendations, and only findings support requirements.
- Every requirement cites the page its evidence came from.
- Measured numbers keep the table they were reported in, so a success metric has a real baseline.
What comes out
Product requirements document, section by section
The problem, the user, the scope, and how success gets measured.
Problem
The problem as the documents evidence it, drawn from findings rather than from recommendations.
Users
Who the documents actually observed, including how many and under what conditions.
Scope
Requirements derived from findings, each citing its page.
Success metrics
Metrics with the baseline the documents recorded, not an invented target.
Open questions
What the documents do not answer, including anything only one source reported.
Documents-to-PRD prompt
The link on its own gets a summary. This is the instruction that produces the 5 sections above, in that order, with the rules that keep them honest. Paste it with your PDFs — in Ancher, or in whatever assistant you already use.
Draft a PRD from these documents. (1) State the problem from the findings sections, never from the recommendations. (2) Describe who was actually observed, with sample size and conditions. (3) Derive requirements from findings, citing the page for each. (4) Give success metrics with the measured baseline from the tables — do not invent a target. (5) List what the documents do not answer. Keep findings and recommendations visibly separate throughout.
The detail, if you want it
How each part of a PDF becomes a section
| From the PDF | Into | Why |
|---|---|---|
| Document structure in order | Problem | Headings arrive as headings, which is what makes a findings section separable from a recommendations section. |
| Tables as tables | Success metrics | Baselines live in tables, and a success metric without the measured starting point is a target somebody made up. |
| Page numbers | Scope | A page anchor on each requirement is what lets an engineer read the evidence rather than trust the summary. |
| Embedded images and figures | Users | Method figures and participant tables state the sample precisely, and the caption usually states the conditions. |
| Word and PowerPoint too | Open questions | The same path takes .docx and .pptx, so a research write-up and the deck that presented it can be read against each other. |
Everything Ancher keeps from a PDF
Document structure in order
Headings, body and captions arrive as separate elements, so the document's own outline survives ingest.
Page numbers
A page-level anchor is what makes a citation checkable by someone else holding the same file.
Tables as tables
Tables come back as their own elements rather than as flattened lines, so a figure stays attached to the row and column that give it meaning.
Embedded images and figures
Figure captions frequently carry the tightest statement of a finding in the whole document.
Reading order
Elements come back in sequence, which is what lets a section be reassembled rather than guessed at.
Word and PowerPoint too
The same path takes .docx and .pptx, so a deck and its write-up can sit in one collection.
The four steps
- Add the PDF. Upload the file. Ancher parses it into ordered elements rather than one flat string, keeps the page number on each, and pulls out the embedded images.
- Nothing gets flattened. Document structure in order, page numbers, tables as tables, embedded images and figures, reading order, word and powerpoint too stay separately addressable instead of collapsing into one block of text.
- Ask for a product requirements document. Ancher fills problem, users, scope, success metrics, open questions using the mapping above, not a generic summary pass.
- Check it before you use it. Every specific keeps a link back to where it came from in the PDF, so a claim can be verified without reopening the source.
Where this goes wrong
- Building from the recommendations section is the standard failure. It produces the thing a researcher imagined rather than the thing the evidence demands.
- Sample sizes in research documents are often small and stated only in a table. A requirement resting on nine participants should say nine.
- A document written to justify a decision already made will read like evidence. Check whether the finding preceded the recommendation or followed it.
Questions people ask
Is a document enough to write a PRD from?
For the problem statement, the users and the open questions, usually yes — that is the half teams skip. Scope and success criteria still need judgement, and the structure keeps the evidence and the decision visibly separate.
Why separate findings from recommendations?
Because a recommendation is one person's proposed solution and a finding is what was observed. Lifting recommendations into scope is how a product ends up implementing a researcher's hypothesis rather than addressing the problem.
What about baselines?
They come from the tables where they were measured. A success metric with an invented baseline cannot be evaluated later, which is how a feature ships and nobody can say whether it worked.
Bring your own PDFs
Everything you save lives in one workspace, so the product requirements document is built from your sources — not from a model's memory of the internet.
Open Ancher →Not a PDF? The same product requirements document also comes from X thread, recording, web page.