When Treated as a Phase, Verification Is Undervalued
Most development teams treat verification as something that happens near the end of a program. It is planned, scheduled, and executed as a step to confirm that the design meets requirements.
In that model, verification plays a limited role. It confirms outcomes and satisfies documentation needs, but it does little to shape the product itself.
Verification is not failing in these environments. It is simply undervalued.
Its full impact is realized only when it is treated not as a phase, but as an integrated part of the development process.
Verification creates the most value when it is treated as a system embedded in development, and when Quality Engineering participates as a full engineering discipline shaping both how the product is tested and how it is designed.
Reframing Verification as a System
Verification is often described in terms of execution. Test protocols are written, tests are run, and results are recorded.
But this view is incomplete.
Verification is a system that defines how requirements are proven, how evidence is generated, and how learning is fed back into design. It begins when requirements are defined and continues through architecture, prototyping, and formal testing.
When treated this way, verification is no longer a checkpoint. It becomes part of how the product is developed.
The effectiveness of that system depends on who is shaping it and how early it is engaged.
Quality Engineering as an Engineering Discipline
Quality Engineering is frequently positioned as a review function. It checks documentation, evaluates results, and ensures that processes have been followed.
That positioning limits its impact.
In practice, Quality Engineering operates as a distinct engineering discipline alongside other domains such as Mechanical Engineering, Manufacturing Engineering, Systems Engineering, and others depending on the organization. Its domain is different, but no less technical.
Quality Engineering focuses on:
- Whether requirements can be proven as written
- How evidence will be generated and interpreted
- How test methods are designed and matured
- What observed failures reveal about the design
This is not compliance work. It is engineering work.
When Quality Engineering is engaged early and operates within its domain, it does not slow development. It improves it by ensuring that what is being built can be clearly and reliably proven.
The Mechanisms That Make Verification Valuable
When verification is treated as a system and Quality Engineering is fully integrated, a small number of mechanisms drive most of the improvement.
Testability Is Designed Into Requirements
Verification begins with the requirement, not the test.
When Quality Engineering participates in requirement definition, ambiguity is addressed immediately. Requirements are written in a way that makes them measurable, with clear acceptance criteria and defined conditions.
A statement like “the device shall withstand repeated use” becomes a defined set of cycles, loads, and performance expectations.
This shift has several effects. Acceptance criteria are clear before design progresses. Test outcomes are not open to interpretation. When a result fails, the decision path is straightforward.
Clarity at the requirement level removes a large portion of the friction that typically appears during verification.
Test Methods Are Engineered in Parallel with Design
Test methods are often treated as documentation deliverables prepared shortly before execution. In practice, they are engineered systems that require design, iteration, and validation.
When Quality Engineering owns this work early, fixtures, measurement approaches, and data collection methods are developed alongside the product itself.
A fatigue test, for example, is not just a protocol. It is a combination of loading conditions, fixturing, measurement systems, and data interpretation. Each of these elements requires refinement.
Developing these methods in parallel with design enables earlier identification of limitations, improves data quality, and reduces the likelihood of invalid or inconclusive results during formal testing.
It also allows development and verification to proceed together, rather than sequentially.
Testing Starts Before “Verification”
In many programs, formal verification is the first time a test is executed end to end. That approach concentrates risk at the worst possible moment.
When verification is treated as a system, testing begins earlier. Informal runs, prototype evaluations, and method shakeouts generate data before formal execution.
These early activities are not about passing tests. They are about learning how the system behaves, identifying sources of variability, and refining both the method and the design.
As a result, formal verification shifts from discovery to confirmation. Execution becomes more predictable, and surprises are reduced.
How Verification Improves the Design
The most important effect of this system is not better testing. It is better design.
When Quality Engineering is fully integrated, it brings evidence back into the development process early enough to influence decisions.
Early testing may reveal sensitivity to environmental conditions, variability in performance, or instability in measurement. These are not just test results. They are indicators of how robust the design is.
Quality Engineering surfaces these signals and helps interpret them. Weak points become visible. Assumptions are challenged. Requirements are refined where they do not adequately define or protect critical performance expectations.
Engineering teams can then respond while changes are still feasible. Designs are adjusted, margins are clarified, and performance becomes more stable before formal verification begins.
The result is a product that is not only compliant, but more robust by design.
What Changes in Program Behavior
Requirements stabilize earlier. Design issues surface sooner. Test execution becomes more predictable. Failures lead to clear decisions rather than reinterpretation. Evidence is stronger and easier to defend.
These shifts do not come from additional processes. They result from engaging verification as a system and positioning Quality Engineering as a contributor to development rather than a reviewer of its outputs
Verification as a Driver, Not a Checkpoint
When verification is treated as a phase, it confirms what has already been decided.
When it is treated as a system, it improves those decisions.
The difference is not in how tests are executed, but in how early and how effectively evidence is brought into the development process.
Verification delivers its full value when it is embedded throughout development and supported by Quality Engineering as a true engineering discipline.
Free Verification System Assessment
If verification in your development programs feels unpredictable, the issue is rarely test execution. It is more often how verification is structured and how Quality Engineering is engaged within the development process.
A65 works with leadership teams to evaluate verification as a system, from requirement testability through method development to how evidence informs design decisions.
If you would like an objective assessment of how verification is functioning in your organization, we welcome the conversation.
Email: sdonnigan@a65consulting.com
Or schedule your review online
References
International Organization for Standardization. (2016). ISO 13485: Medical devices — Quality management systems — Requirements for regulatory purposes.
International Organization for Standardization. (2019). ISO 14971: Medical devices — Application of risk management to medical devices.
U.S. Food and Drug Administration. (1997). Design Control Guidance for Medical Device Manufacturers.
Code of Federal Regulations. (n.d.). 21 CFR 820.30 Design Controls.
Juran, J. M. (n.d.). Juran’s Quality Handbook.
Ulrich, K. T., & Eppinger, S. D. (n.d.). Product Design and Development.