Validation Approach
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Glossary Term
Validation
Documented evidence that a system, process, or method consistently produces a result meeting predetermined specifications and quality attributes.
Validation is the regulatory proof that what you do is what you said you would do — repeatably. It is also one of the fastest-evolving areas of compliance as FDA's CSA shift reshapes how evidence is produced.
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What validation means
Validation is the establishment of documented evidence providing a high degree of assurance that a specific process, computerized system, or analytical method will consistently produce a result meeting its predetermined specifications and quality attributes.
In regulated quality, validation covers three overlapping domains: process validation (manufacturing), method validation (analytical), and computer system validation (CSV) or its modern risk-based variant Computer Software Assurance (CSA).
Why validation defines regulatory confidence
Inspectors rely on validation records to answer a core question: does this process or system actually produce what you claim? Weak or missing validation is among the most serious compliance failures — FDA Warning Letters frequently cite inadequate validation of computerized systems and manufacturing processes.
The 2022 FDA draft guidance on Computer Software Assurance (CSA) signaled a shift away from script-heavy CSV toward risk-based, fit-for-purpose evidence. Organizations now navigate a transition where legacy CSV programs coexist with modern CSA practice.
CSV vs CSA
CSV (Computer System Validation) emphasizes exhaustive pre-planned scripting. CSA (Computer Software Assurance) emphasizes critical thinking, risk-based evidence depth, and unscripted testing for lower-risk functions. Both satisfy regulation — they differ in evidence strategy.
Where validation is mandated
Validation is referenced across virtually every GxP regulation and quality standard:
- FDA 21 CFR Part 11 — Validation of closed / open systems handling electronic records
- FDA 21 CFR Part 211 §211.68 and §211.100 — Process and computer system validation
- EU GMP Annex 11 — Computerised systems validation (the EU counterpart to Part 11)
- EU GMP Annex 15 — Qualification and validation framework
- FDA Guidance: Computer Software Assurance (CSA) — Risk-based, modern alternative to pure CSV
- GAMP 5 (Second Edition) — Category-based risk-based approach to CSV/CSA
- ISO 13485 §7.5.6 & §7.5.7 — Process and software validation for medical devices
The validation lifecycle
A typical validation lifecycle for a computerized system:
- Validation Master Plan (VMP) — scope, approach, roles, deliverables, risk posture
- URS (User Requirements Specification) — what the system must do
- Risk Assessment — GAMP 5 category, impact classification, test strategy
- Functional / Design Specifications — how the system meets requirements
- IQ (Installation Qualification) — correctly installed per specifications
- OQ (Operational Qualification) — functions as designed across expected ranges
- PQ (Performance Qualification) — performs reliably in intended operating environment
- Traceability Matrix — URS → spec → test mapping
- Ongoing maintenance — change control, periodic review, re-validation triggers
What strong validation programs share
Effective validation operations have:
- Clear GxP impact classification driving validation depth
- GAMP 5 category aligned to test rigor (Category 3-5)
- Risk-based CSA for low-risk SaaS, fuller CSV for high-risk custom systems
- Controlled deviation handling during execution
- Traceability matrix maintained through change control
- Periodic review tied to regulatory updates
- Supplier audit evidence for vendor-provided systems
How Complere supports validation
Complere ships with a validation package aligned to CSV/CSA that organizations can adopt as their starting evidence set, then extend for site-specific needs.
- Pre-built VMP, URS, risk assessment, IQ/OQ/PQ templates
- GAMP 5 Category 4 (configurable SaaS) baseline classification
- Traceability matrix auto-generated from requirements → tests
- Validation evidence kept within Complere's own document control + audit trail
- Change control triggers re-validation workflow for impacted requirements
- Periodic review cadence aligned to regulatory frameworks
- Annex 11 and Part 11 mapping documentation included
Frequently asked questions
Common questions about Validation sourced from regulatory references and inspection patterns.
What is validation in the context of regulated systems?
Validation demonstrates with documented evidence that systems, processes, and equipment consistently perform as intended and remain compliant over time.
How is validation different from verification activities?
Validation establishes a documented foundation for intended use and testing, while verification checks specific outputs comply with those validated controls.
Which regulations cover validation?
FDA 21 CFR Part 11, EU GMP Annex 11 & 15, MHRA, and WHO expect risk-based lifecycle validation for computerized systems.
What do inspectors look for in validation packages?
Inspectors examine risk-based planning, traceability from requirements to testing, change control, and evidence that periodic review keeps the system in a validated state.
How does Complere sustain validation-ready controls?
Complere links validation documentation to change control, CAPA, and audit trails so your platform stays validated even as the configuration evolves.
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See validation-ready workflows in Complere
Walk through Complere's CSV/CSA-aligned validation package — IQ/OQ/PQ evidence, traceability matrix, and GAMP 5 categorization built into the platform.