Evidence-backed functional delivery
Functional requirements engineers can trace and build from
Reqify produces an FRD that resolves the BRD into numbered functional requirements, user-system interactions, NFRs, and explicit acceptance criteria — with traceability back to the originating business requirement.
- Traceable to your BRD
- Numbered FR-IDs
- NFRs by ISO 25010 category
- Round-trips to Jira
BRDs say what; FRDs have to say exactly how
A Functional Requirements Document is where business intent has to survive contact with an engineering backlog. Every fuzzy line in a BRD ("the system should be performant", "users should be able to easily manage their orders") has to be resolved into a numbered, testable functional requirement before a delivery team can estimate it. This is also where most BAs lose two days writing tables that read like other tables.
A weak FRD is worse than no FRD. If FRs do not carry IDs, engineers cannot reference them in tickets. If NFRs are unstructured, QA cannot derive test cases. If user-system flows are not enumerated, design and delivery diverge on the third sprint. The output has to be machine-readable, not just pleasant to read.
Generic AI document tools generate a plausible FRD that breaks the first time a senior engineer asks "where does FR-014 come from?" and there is no link to the originating business requirement. That is the bar Reqify is built against.
How Reqify produces an FRD that holds up in delivery
Reqify reads your BRD (or your raw discovery files if no BRD exists yet) and decomposes each business requirement into one or more numbered functional requirements, each with: a unique FR-ID, a clear actor + action + outcome statement, the originating BRD reference, an explicit acceptance criterion, and a priority. The relationship is stored as data, not just prose — so you can filter FRs by BRD source and check that no business requirement is orphaned.
Non-functional requirements are emitted by ISO 25010 category (performance efficiency, security, reliability, maintainability, usability, compatibility, portability) with concrete targets and measurement methods. User-system interactions are enumerated as labelled flows that map cleanly to user stories on the next step.
When the model cannot infer a target — a latency budget, a security control, a regulatory reference — it flags the gap explicitly. You see what is grounded versus what needs a stakeholder decision.
What the FRD output gives you
Numbered FR-IDs
Every functional requirement carries a stable FR-### identifier that engineers can reference in Jira and code comments.
Traceability to the BRD
Each FR cites its originating business requirement. Orphaned FRs and uncovered BRs are surfaced as gaps.
NFRs by ISO 25010 category
Performance, security, reliability, maintainability and the rest — each with a measurable target and an evidence method.
User-system flows
Enumerated actor / trigger / system response flows, ready to expand into user stories or sequence diagrams.
Acceptance criteria built in
Every FR has an explicit acceptance criterion, so QA can derive test cases directly from the FRD.
Round-trips to engineering tools
Push FRs to Jira as tickets with full context. Export to Confluence with formatting intact. Team plan.
From BRD to a delivery-ready FRD
- Step 1
Start from a Reqify BRD — or upload yours
If your BRD was generated in Reqify, the FRD inherits the requirement context. Otherwise upload it as a Word / Markdown / PDF.
- Step 2
Confirm scope guardrails
Reqify asks the few clarifying questions that change the FRD shape — release scope, deferred features, integration boundaries.
- Step 3
Generate
Two to three minutes. You watch the FRs and NFRs being written live, then a structured pass extracts the FR-IDs, priorities, and BRD links.
- Step 4
Review and edit
Filter by BRD source. Mark deferred. Adjust an FR’s acceptance criterion and the prose updates with it.
- Step 5
Hand off to delivery
Export to .docx for sign-off, push to Jira as backlog items, or share a live Reqify link with the delivery team.
Who uses Reqify for FRDs
- Senior BAs translating BRDs into engineering-ready specs
- Solution architects pairing FRDs with high-level designs
- Vendor delivery teams scoping fixed-bid work
- Internal product engineering teams formalising discovery
- Programme PMOs requiring FRD/BRD traceability for audit
- BA contractors handing off to client engineering teams
FRD generator FAQ
Do I need a BRD before generating an FRD?+
No. If a BRD exists, Reqify uses it as the primary source and links every FR back to its BR. If not, Reqify can derive functional requirements directly from discovery files (transcripts, RFPs, existing system documentation) and will flag the missing business-context layer.
How are NFRs structured?+
By ISO 25010 quality categories. For each applicable category, the FRD includes the requirement, a measurable target (e.g. p95 latency under 250ms), and a method of evidence (load test, third-party audit, monitoring). Targets the model cannot infer from your inputs are flagged as needing a stakeholder decision.
Will the FRD reference the BRD requirements correctly?+
Yes. Each FR carries the originating BR-ID and a citation excerpt. A coverage view shows which BRs have no FR yet — useful for sign-off reviews.
Can I push FRs to Jira directly?+
Team plan includes Jira and Confluence integrations. FRs become tickets with the full FR context, acceptance criterion, and BRD link as the description. Confluence export preserves formatting and tables.
How long does an FRD take to generate?+
Two to three minutes for an enterprise-grade FRD. Prose streams live, then a structured pass extracts FR-IDs, priorities, and NFR targets.
How is the FRD different from a PRD?+
A PRD is product-focused (what should be built and why); an FRD is engineering-facing (precise functional and non-functional requirements). Reqify generates either — and they share the same retrieval-grounded approach.
An FRD engineering will actually use
Numbered functional requirements, NFRs by category, full BRD traceability, ready in three minutes.