top of page
  • White Facebook Icon
  • White Twitter Icon

Making CPV Work: Quick Reads for the Biopharma Community

image.png
image.png

Demystifying CPV: Practical Guidance for Biopharma

Continuous Process Verification: Cutting Through the Gray Areas CPV is not optional—it’s a mandatory program for every commercial pharma and biopharma manufacturer. But if you’ve ever tried to run one, you know the reality: the guidelines leave wide gray zones. How should the structure of a CPV program really look? When should you use each type of control chart?What’s the right reporting period? Which parameters and metrics truly belong in a CPV report? How do you respond to SPC signals like OOT or OOC events? And most importantly—how do you separate real process signals from background noise?I’ve taken these recurring pain points and broken them down into focused, 3–5 minute reads. Each chapter provides risk-based rationales built on two decades of direct experience with diverse biopharma products—cell and gene therapies, monoclonal antibodies, conjugate proteins, and recombinant proteins.The goal is simple: clarity without jargon. The concepts are explained with analogies and simplified terms so both engineers and non-engineers can quickly understand and apply them.

Click Below Icons to Access Each Chapters

image.png

Four Base Pillars for Successful CPV Programs

image.png

Focus Where It Matters: Keep CPV Monitoring Clear, Not Cluttered

image.png

How Often Is Enough? Risk-Based CPV Reporting Frequency

image.png

Stop Using Control Charts for Everything!

image.png

Censored Data (below limit of quantification [LoQ] & below detection limit [BDL]) 

image.png

Trending and Monitoring Microbial Data 

image.png

Stop Using All 8 Nelson Rules – You’re Creating Noise, Not Insight

image.png

Not Panic: A Risk-Based Response to SPC Signals

image.png

A Practical Rule of Thumb for Locking Control Limits

image.png

Dream (CpK) or Reality (PpK)? Making Sense of Short-Term vs. Long-Term Capability

image.png

Defects vs. Defective Units: The Hidden Story in Attribute Charts

Picture10.png

From Trend to Spec: Making Sense of OOT, OOE, and OOS in Biopharma

bottom of page