The 5 Critical CSV Mistakes That Put Life Science Companies at Risk

As a freelance validation and project management specialist, I've been involved into countless projects, either to rescue them or prepare them for an impending audit. The same critical mistakes appear time and again.

Here are the 5 most common CSV mistakes I see—and how you can fix them before they become an auditor's finding.

1. Treating User Requirements (URS) as a "Check-the-Box" Item The Problem: Teams rush to the "fun" part (system configuration) or copy-paste a vendor's URS. The URS is weak, vague, or doesn't actually reflect the intended use of the system. Why it's a Risk: The URS is the foundation of your entire validation package. If your requirements are not clear, testable, and GXP-relevant, your testing (OQ/PQ) is built on sand. An auditor will see this disconnect immediately. The Fix: Involve QA, Validation, and end-users from Day 1. Every requirement must be traceable and answer the question: "How will we prove this works and is compliant?"

2. Misunderstanding GAMP 5 Categories The Problem: A team treats a complex, configurable COTS system (Category 4) like a simple non-configurable one (Category 3). They under-validate, skipping critical configuration testing and risk assessments. Why it's a Risk: You fail to test the high-risk components. You're not validating the system as configured for your process. The Fix: Use GAMP 5 as intended—as a risk-based approach. Perform a proper system assessment to determine the category, then scale your validation activities accordingly. Not all systems are created equal, and your validation effort shouldn't be, either.

3. Ignoring Data Integrity (ALCOA+) The Problem: The team focuses on the system "working" but not on the data's lifecycle. Can data be deleted? Is the audit trail on by default? Are electronic signatures compliant with 21 CFR Part 11? Why it's a Risk: Data Integrity is the #1 focus of FDA and other regulatory bodies. If you can't prove your data is Attributable, Legible, Contemporaneous, Original, and Accurate (+), your system is non-compliant, period. The Fix: Build Data Integrity and 21 CFR Part 11 requirements into your URS. Perform specific Data Integrity testing. This includes challenging the audit trail, user access levels, and backup/restore functions.

4. Making Project Management an Afterthought The Problem: A validation project is run by an IT Project Manager who doesn't understand GXP, or by a Validation Lead who doesn't understand project management. Why it's a Risk: The GXP PM will miss deadlines and budget overruns. The IT PM will cut "compliance" corners to meet a go-live date, creating massive remediation work later. The Fix: See Mistake #5...

5. Not Connecting Validation, Projects, and People The Problem: The company treats validation as a silo. The CSV team does its work, the PM team manages a schedule, and the training team gets a 2-hour slot before go-live. Why it's a Risk: This is the #1 cause of project failure. A system can be perfectly validated but unusable if the PM failed to manage scope or the staff isn't trained. Or, the project is on time, but the validation is so poor it fails an audit. The Fix: You need a holistic approach. Your project plan must integrate validation milestones, training schedules, and resource planning. This is where a partner who understands all these pillars—Project Management, CSV, IT Training, and even finding the right talent—becomes a catalyst, not just a contractor.

Don't wait for an audit to find these gaps. If any of these sound familiar, let's talk about building a validation strategy that is compliant, efficient, and audit-ready from day one."