Lifecycle Approach
Process Validation
Process validation is the collection and evaluation of data — from process design through commercial production — that establishes scientific evidence a process is capable of consistently delivering quality product.
Stage 1 — Process design
Process design builds knowledge: critical quality attributes, critical process parameters, material attributes, design space and control strategy. Development data, DOE studies, scale-up understanding and risk assessments feed a control strategy that later stages simply confirm.
Stage 2 — Process performance qualification
PPQ confirms the commercial process, executed on qualified equipment by trained personnel using approved procedures, reproducibly produces conforming product. The number of runs should be justified by process understanding and variability rather than by habit.
- PPQ protocol with sampling plans and statistically justified acceptance criteria
- Facility, utility and equipment qualification complete and current
- Analytical methods validated and instruments qualified
- Personnel trained; procedures approved and in effect
- Deviation and change management active throughout execution
Stage 3 — Continued process verification
CPV monitors the commercial process to detect drift and confirm the control strategy remains effective. Trending of critical parameters and attributes, statistical process control, annual product review integration, and defined signals for action turn validation from an event into an ongoing state.
Where programs commonly struggle
- Control strategy not clearly documented or traceable to risk
- Sampling plans without statistical rationale
- CPV data collected but never trended or acted upon
- Changes made without assessing impact on the validated state
- Legacy processes validated once and never reassessed
Primary references
Information published on ValidationEngineering.com is educational and informational. It is not legal or regulatory advice and is not a guarantee of regulatory compliance or of any inspection outcome. Organizations remain responsible for their own quality decisions.
FAQ
Lifecycle Approach — common questions
- What are the three stages of process validation?
- Stage 1 — process design, building understanding of variability and defining a control strategy. Stage 2 — process qualification, confirming the design is reproducible at commercial scale. Stage 3 — continued process verification, monitoring the process in routine production to detect drift.
- Are three PPQ batches required?
- No. Three is a convention, not a regulatory requirement. The number of process performance qualification batches should be justified statistically based on process variability, prior knowledge and risk.
- What does continued process verification actually require?
- A defined monitoring plan with parameters and attributes, statistical trending, defined action on signals, and periodic review by quality. CPV is a program, not an annual report.
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