Product Backlog Architect — AI-powered backlog engineering

AI backlog generator
for Product Owners
and BAs.

Turn PRDs, meeting notes, and backlog exports into sprint-ready user stories. Run PRD maturity analysis, backlog health checks, and RAG chat grounded in your own documents.

50 credits on signup · First 20 documents free · No credit card

5
analysis types
6
PRD maturity dimensions
20
free documents / workspace
RAG
evidence-grounded chat
PDF
shareable reports

Recognition

Every PO has lived this week.

These aren't edge cases. They're the default state of product work — until the documents start talking.

PRD Chaos

Sprint starts in 3 days. There are two versions of the PRD. The team's been referencing last month's decisions. Nobody knows which is current.

Which document do you write stories from?

Backlog Quality

200 items in the backlog. Half are stale. The other half have no acceptance criteria. Refinement is tomorrow. Where do you even start?

Is this backlog ready — or just full?

Sprint Blockers

Stories were estimated. Planning seemed fine. Day 3 of the sprint: 'this is too vague.' The blocker was visible in the PRD the whole time.

Could this have been caught earlier?

Product Backlog Architect doesn't guess. It reads your documents and answers from them.

Product Backlog Architect is an AI document analysis tool for Product Owners. Upload PRDs, meeting notes, or user stories — get a structured, delivery-ready product backlog in minutes.

Quick answers

What does this AI backlog tool actually do?

Short, direct answers for Product Owners, Business Analysts, and teams evaluating whether their PRDs are ready for delivery.

What is Product Backlog Architect?

Product Backlog Architect is an AI backlog generator and PRD analysis tool. It reads your product documents, scores their maturity, suggests user stories, highlights sprint risks, and answers questions with evidence from your own files.

Can it create user stories from a PRD?

Yes. Upload a PRD, meeting note, or backlog export, then run the backlog suggestion analysis. The output groups work into epics, features, user stories, acceptance criteria, priorities, dependencies, and risks.

What is a Backlog Health Report?

A Backlog Health Report scores the backlog across clarity, completeness, readiness, quality, prioritization, and consistency. It also lists strengths, priority weaknesses, and concrete next-level actions.

How does it reduce sprint planning risk?

The sprint readiness analysis surfaces not-ready stories, missing information, unresolved decisions, external dependencies, and top actions before the team commits to sprint scope.

Does the AI use internet knowledge?

No. The document chat and analyses are grounded in retrieved chunks from your uploaded files. The tool is designed to make document evidence visible, not to invent product decisions.

Who should use it?

It is built for Product Owners, Business Analysts, Product Managers, and Scrum teams that need faster PRD review, backlog refinement, sprint planning preparation, and shareable analysis PDFs.

Grounded answers

Responses cite retrieved document chunks.

Clear limits

AI output is a first pass, not a final audit.

Exportable proof

Analysis results can be shared as PDFs.

Sample output

See the report before you upload anything.

A realistic Backlog Health Report generated from dummy PRD, meeting note, and support-ticket records.

Backlog health

72/100

Needs attention

Evidence confidence

86%

10 cited chunks

Sprint risk

Medium-high

Before planning

Try it with my backlog
Product Backlog Architect

Backlog Health Report

Orion Checkout Renewal

Example report

Sprint 18 planning

PRD v3.2

Input records

Sprint planning notes

Input records

Support tickets export

Input records

Executive summary

Payment retry scope is valuable but split across three documents with two conflicting success metrics.
Three candidate stories are sprintable after acceptance criteria are tightened; two need stakeholder decisions.
The main delivery risk is the missing ownership boundary between checkout, billing, and notification services.

Health dimensions

Clarity

78

Core goal is understandable

Completeness

64

Refund path is under-specified

Readiness

58

Two decisions block planning

Consistency

82

Most docs agree on scope

Planning readiness signals

Representative risk, evidence, and action cards from the same analysis family.

Sample
01
HighSprint readiness

Retry notification rules are not owned by either checkout or CRM.

Owner: PO + Tech Lead

Evidence

Planning note says billing owns capture logic while CRM owns messaging; no owner is named for retry notification.

Next action

Name a single decision owner before sprint planning and add notification acceptance criteria to the retry story.

02
MediumSprint readiness

Success metric differs between PRD and stakeholder meeting notes.

Owner: Product Owner

Evidence

PRD targets lower support volume; stakeholder notes measure payment completion rate.

Next action

Choose the primary success metric and keep the secondary metric as a monitoring signal.

03
MediumSprint readiness

Refund edge cases are referenced but not converted into acceptance criteria.

Owner: BA

Evidence

Support export mentions delayed captures and refund confusion, but the story has no refund-state criteria.

Next action

Add refund-state examples to acceptance criteria or move them into a follow-up story.

Recommended story slices

Retry failed card authorization

As a returning buyer, I want a guided retry flow when my card authorization fails so that I can complete purchase without contacting support.

  • Retry reason is shown in plain language
  • User can choose a saved or new card
  • Every failed retry creates an audit event

Notify customer after delayed payment capture

As a buyer, I want a clear payment-status notification when capture is delayed so that I know whether my order is still active.

  • Notification copy differs for pending and failed capture
  • Email and in-app states match
  • Support ticket link is attached only after 24 hours

Evidence excerpts

PRD v3.2 - Scope

Retry flow must reduce support contacts for payment failures during checkout.

Planning note - Jul 8

Billing owns capture logic; CRM owns messaging. No single owner named for retry notification.

The process

How does Product Backlog Architect work?

01

Upload your documents

PDF, Word (DOCX), or plain text (TXT) — PRD, meeting notes, requirements doc, backlog export. Everything lives in a workspace context. First 20 documents per workspace are free.

02

Run an AI analysis

PRD maturity, backlog suggestions, sprint risk... 5 analysis types. Each result is grounded in concrete evidence from your documents — no hallucinations.

03

Chat and export

Ask 'What are the open questions in this PRD?' and the answer comes from your documents. Export any analysis as a shareable PDF.

Analysis pipeline

Five analyses. One complete product lifecycle.

From your first PRD to a healthy, sprint-ready backlog — every step has an analysis designed specifically for it.

01

PRD Maturity

🪙10

Is your PRD ready to write stories from?

Scores your PRD across 6 dimensions: problem clarity, user definition, success metrics, scope, feasibility, and assumptions. Returns a maturity level (Draft → Production Ready) with specific gaps.

02

Backlog Suggestions

🪙15

What stories can we extract from these documents?

Reads your context documents and generates structured user story, epic, and task suggestions — each grounded in a specific document excerpt as evidence.

03

INVEST Compliance

Coming soon

Are your stories Independent, Negotiable, Valuable, Estimable, Small, Testable?

Evaluates each story against all 6 INVEST criteria and suggests improved rewrites for weak items.

04

Sprint Risk Scan

Coming soon

Can we commit to these stories in the next sprint?

Identifies blockers, unresolved decisions, and external dependencies that could break a sprint before planning begins.

05

Backlog Health

🪙20

Is the overall backlog in a healthy state?

Cross-context analysis of your entire backlog. Scores consistency, coverage, staleness, and INVEST compliance at portfolio level.

Features

Everything your documents deserve.

RAG-powered document chat

Ask anything about your documents. The AI retrieves the most relevant chunks from your files and builds answers from evidence — not from general knowledge.

PRD maturity scoring

6-dimension evaluation: problem clarity, user definition, success metrics, scope, feasibility, and risk. Get a maturity level and a concrete list of gaps to close.

AI backlog suggestions

User stories, epics, and tasks generated from your documents. Every suggestion links back to the exact document section it came from.

Flexible document management

Upload PDF or paste text. Organize documents into workspaces and contexts. First 20 documents per workspace free — scale as your project grows.

PDF export

Export any analysis result as a shareable, well-formatted PDF. Share with your team, PM, or stakeholders without them needing an account.

AI preference memory

Tell the AI 'always use English' or 'keep answers short' — it remembers your preference across all future sessions in that context.

Who it's for

Who should use Product Backlog Architect?

Product Owner

Your core workflow

  • Run PRD maturity before writing a single story
  • Get backlog suggestions directly from your PRD
  • Check sprint readiness before planning
  • Chat with your documents during refinement

Business Analyst

Requirements quality

  • Score requirements documents across 6 quality dimensions
  • Identify assumptions buried in meeting notes
  • Surface scope gaps before development starts
  • Export analysis as evidence in your BA artifact

Product Manager

Delivery visibility

  • Monitor backlog health across the portfolio
  • Get early warning on sprint risk
  • Ensure PRDs are investment-grade before handoff
  • Share analysis PDFs with engineering leads

Pricing

Transparent. Pay for value, not for access.

Credits are the currency. You start with 50 on signup — enough for several analyses. No subscriptions, no auto-renewal.

🪙50

Sign-up bonus

Free, no card

Free

Document upload

First 20 / workspace free · then 10 per 20

🪙10

PRD Maturity

Per analysis run

🪙15

Backlog Suggestions

Per analysis run

🪙20

Backlog Health

Cross-context, portfolio level

🪙1

Document chat

Per message

Document batches are workspace-level. When you add your 21st document, 10 credits are charged — giving you room for 20 more (up to 40). Every 20 documents beyond the free tier costs 10 credits.

Need more credits? Buy a pack from your account dashboard. No auto-renewal, no hidden fees.

What a pack looks like in real PBA work

🪙100

200 extra documents (20/workspace free first)

6 Backlog Suggestion runs

5 Backlog Health reports

10 PRD Maturity checks

100 document chat messages

🪙300Most popular

600 extra documents (20/workspace free first)

20 Backlog Suggestion runs

15 Backlog Health reports

30 PRD Maturity checks

300 document chat messages

🪙1000

2000 extra documents (20/workspace free first)

66 Backlog Suggestion runs

50 Backlog Health reports

100 PRD Maturity checks

1000 document chat messages

Alternatives, not additive — mix and match however you like.

FAQ

Frequently asked questions

What documents can I upload?

PDF (up to 20 MB), Word DOCX (up to 10 MB), plain text TXT (up to 2 MB), and pasted text are all supported. Common types: PRD, product requirements document, meeting notes, sprint planning transcripts, discovery research, backlog exports. There is no OCR — PDFs must have selectable text.

How does the RAG chat work?

When you ask a question, the system embeds your query and finds the most semantically similar chunks from your uploaded documents using vector search. The AI then composes an answer using only those retrieved chunks — not internet knowledge. This means answers are grounded in what's actually in your files.

What is a workspace and a context?

A workspace is a project container — think of it as a product or a team. A context is a focused subset inside a workspace (e.g., 'Sprint 12 Planning', 'Q3 PRD Review'). Analyses and chats run within a context so the AI only sees the documents relevant to that specific question.

Are analyses guaranteed to be accurate?

All analysis results are grounded in your uploaded documents — the AI references specific chunks as evidence. However, AI is not infallible. Use results as a structured first pass and starting point for discussion, not as a definitive audit.

What happens to my documents?

Documents are stored securely in your account and are only accessible to you. They are used solely to generate embeddings for search and to run analyses you explicitly trigger. You can delete documents at any time.

More tools for your role

Your documents know the answer.
Let them speak.

Stop reading through PRDs looking for gaps. Stop guessing which stories are sprint-ready. Let the analysis run — and build backlogs that actually deliver.

50 free credits · First 20 documents free · No credit card

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