Good Requirements: The Foundation of Compliant Pharma Projects

Most pharmaceutical projects that fail an inspection, blow a budget, or get validated twice were in trouble before anyone wrote a line of code or ran a single batch. The problem started with the requirements.

Whether you are implementing a LIMS, validating a manufacturing process, or standing up a GxP computerized system, requirements are the blueprint for everything that follows. Design, testing, validation, and the evidence you hand an inspector all trace back to them. Get them right and the project has a spine. Get them wrong and every downstream activity inherits the defect.

This post covers the types of requirements that matter in GLP, GMP, and computer system validation (CSV) work, how to gather and define them, what good requirements buy you, what poor ones cost, and a short list of practical rules we apply on every engagement.

Why requirements carry more weight in regulated work

In most industries, a vague requirement costs time and money. In ours, it can also cost compliance. GLP, GMP, 21 CFR Part 11, EU Annex 11, and the data integrity expectations of FDA, EMA, and MHRA are legal obligations, not suggestions. Missing one can mean a 483, a warning letter, a recall, or a system you cannot use for regulated work.

Requirements are where those obligations become concrete. A regulation says records must be attributable and secure. A requirement says which users can modify which records, how changes are captured in the audit trail, and how that trail is reviewed. If the obligation never makes it into a requirement, it will not be designed, tested, or proven. And an inspector will ask you to prove it.

The five kinds of requirements

A complete requirements set covers five categories. Most gaps we find in client specifications come from treating one of them as someone else’s problem.

Type	What it defines	Example (LIMS implementation)
Business	The outcome the organization is paying for	Cut sample turnaround time by 30% and retire paper logbooks
Functional	What the system or process must do	Register samples, record results against specifications, flag out-of-spec values
Non-functional	How well it must do it: performance, availability, usability, security	Results screen loads in under 3 seconds; system available during all shift hours
Regulatory	The obligations it must satisfy, stated as testable behavior	Every create, modify, and delete of a GxP record is captured in a secure, time-stamped audit trail per 21 CFR Part 11
Technical	The platform, infrastructure, and interfaces it depends on	Interfaces to the CDS and ERP; hosted in a qualified environment with daily backup and tested restore

Regulatory requirements deserve a note. They are not a separate document you attach at the end. They should be written into the functional and non-functional requirements as specific, testable statements, so they get designed, tested, and traced like everything else.

How to gather and define requirements

Good requirements come from a deliberate process, not a template filled in the week before testing.

Engage the right people early. Quality assurance, regulatory, lab or production users, IT, and the process owner all see different risks. If QA first reads the requirements during protocol review, you are already behind.
Elicit, don’t assume. Use interviews, workshops, and walkthroughs of the current process and its records. Ask the compliance questions directly: Which records are GxP? Who can change them? What are the critical quality attributes? Where could data be lost, altered, or backdated?
Write them down so they can be tested. Each requirement should be a single, unambiguous statement with a unique ID. If you cannot describe how you would test it, it is not finished. These documents become part of the evidence an inspector reviews, so they must stand on their own.
Review before you build. Confirm with stakeholders that the requirements are correct and complete, and confirm with the technical team that they are feasible. Assess risk at the same time so you know where testing effort belongs.
Trace them through the lifecycle. Link every requirement to its design element and its test. A traceability matrix is how you show an inspector that nothing was missed, and how you see the impact of a change before you make it.

What good requirements buy you

Realistic plans. Clear scope lets you estimate effort, assign resources, and spot risk before it becomes schedule slip. That matters when timelines are tied to a submission or a launch date.
Compliance by design. When regulatory obligations are written in from day one, they get built and tested once. You avoid discovering a Part 11 gap during the inspection.
Data integrity you can demonstrate. Requirements are where ALCOA+ principles turn into specific controls: audit trails, access restrictions, secure storage, review steps. Without them, data integrity is an intention, not a control.
Lower cost and less rework. Defects caught in a requirements review cost a fraction of what they cost after go-live. Clear requirements also give you a firm line against scope creep.
Focused validation. With risk-ranked requirements, you can concentrate testing on what affects product quality, patient safety, and data integrity. This is the core idea behind risk-based approaches like GAMP 5 and FDA’s Computer Software Assurance guidance.
A product that fits its intended use. In the end, the system or process does what the business needed and what regulators expect.

What poor requirements cost

We see the same failure patterns again and again:

A validated system that isn’t compliant. If the requirements never addressed audit trail review or access control, the testing never proved them. The system passes validation and fails inspection.
Rework, delays, and overruns. Ambiguous requirements get interpreted differently by the vendor, the implementer, and the users. Each mismatch surfaces late, usually during testing, when it is most expensive to fix.
Quality and safety exposure. A manufacturing process whose critical parameters were never clearly specified cannot be reliably controlled. That risk lands on the product and, ultimately, the patient.
Unhappy stakeholders. When QA, operations, and the business each assumed their needs were covered, someone discovers at go-live that they weren’t. That conversation is always harder than the one you should have had at the start.

Practical rules for writing good requirements

One requirement, one statement. Avoid “and” and “or” bundling. Each statement should pass or fail on its own.
Make it testable. Replace words like “fast,” “user-friendly,” and “secure” with measurable criteria.
Write compliance in, not on. Translate each applicable regulation into specific system or process behavior.
Rank by risk. Identify which requirements affect product quality, patient safety, and data integrity, and put your scrutiny there.
Bring QA in at the start. Quality should help write the requirements, not just approve them.
Keep them alive. Requirements change as projects evolve. Put them under change control and update the traceability every time.
Review before you build. A one-hour requirements review is the cheapest defect removal you will ever do.

The bottom line

Time spent on requirements is the best investment you can make in a regulated project. It is cheaper than rework, faster than remediation, and far more pleasant than explaining a gap to an inspector.

JAF Consulting has helped life sciences organizations get this right since 2001. We work alongside your teams to define, review, and trace requirements for LIMS and other GxP systems, laboratory and manufacturing processes, and computer system validation projects, so compliance and data integrity are built in from the start.

Planning a new system, a validation effort, or a remediation project? Contact us to talk through where your requirements stand.