Skip to main content

Blog — Page 4

In Silico Testing in Clinical Trials: A High-Level Overview

In the fast-evolving world of product development, in silico testing is emerging as a powerful and innovative tool. By leveraging advanced computer simulations and modeling, this method is transforming how brands in industries like cosmetics, skincare, supplements, superfoods, and pet health validate their products. Here’s a high-level overview of what in silico testing is, its benefits, applications, and why it’s gaining momentum in clinical trials. What is In Silico Testing

By Ben Brockman

The Role of a Usability Study in Clinical Trial Readiness

A usability study evaluates how real people interact with a product, packaging, or digital experience to identify friction, confusion, and improvement opportunities. For health and wellness brands, a usability study helps ensure products are easy to use, instructions are clear, and the consumer experience supports safety, compliance, and trust. If your product requires instructions, measurements, device assembly, or multi-step onboarding, usability testing is not optional. It

By Ben Brockman

Sampling Bias in Clinical Research

Sampling bias is one of the most common threats to credible research results. If your study participants do not accurately represent your target population, your findings may look strong on paper but fail in the real world. Sampling bias occurs when the participants selected for a study are not representative of the population the results are meant to reflect. It matters because biased samples can distort outcomes, limit generalizability, and weaken the credibility of product

By Ben Brockman

How Long Do Clinical Trials Take?

If you are considering a clinical study for a health, wellness, or CPG product, one of the first questions you will ask is how long it will take. Timelines affect product launches, marketing plans, and regulatory confidence. Understanding what actually drives clinical trial length helps brands set realistic expectations and avoid costly surprises. Clinical trials typically take anywhere from 3 months to 2 years, depending on the study design, product type, and operational com

By Ben Brockman

Why Brands Use a Placebo-Controlled Trial

A placebo-controlled trial is one of the most commonly referenced study designs in clinical research, especially in health, wellness, and consumer product categories. Brands often see the term used in scientific publications or competitor claims but are not always clear on what it actually involves or when it is necessary. This article explains what a placebo-controlled trial is, how it works, and when this type of study makes sense for brands looking to generate credible, tr

By Ben Brockman

Understanding Attrition Bias in Clinical Studies

Attrition bias is one of the most common and least understood sources of error in clinical and consumer research. It shows up when participants drop out of a study and those dropouts are not random. For brands relying on study data to guide decisions, this can quietly undermine confidence, credibility, and trust. This article explains what attrition bias is, why it matters, how it happens, and what brands can do to reduce its impact when running human studies. Attrition bias

By Ben Brockman

Why Patch Testing Matters for Consumer Brands

Launching a topical product comes with an unspoken promise. That promise is that the product will be safe and comfortable when used by real people, not just in theory. For consumer brands, especially in skincare, personal care, and wellness, patch testing is often the first meaningful step toward understanding how a product interacts with human skin. It helps brands move from assumptions to evidence early, when decisions are easier and less costly to change. What Is Patch Tes

By Ben Brockman

What Is an Open Label Study and Why It Matters for Product Claims

When brands talk about being clinically tested, the type of study behind that claim matters. One commonly used and often misunderstood research design is the open label study. Especially popular in supplements, skincare, cosmetics, superfoods, and pet health, an open label study offers valuable real-world insights, when designed and communicated correctly. In this post, we’ll break down what an open label study is, how it works, its benefits and limitations, and why it plays

By Ben Brockman

The Economic Impact of False Advertising

False advertising is often discussed as a legal or ethical issue. But for brands, the bigger story is economic. Misleading or unsubstantiated claims can quietly drain revenue, inflate costs, and limit long-term growth, even when no lawsuit ever happens. This article explains the real financial impact of false advertising, how those costs show up across a business, and when investing in evidence can help brands avoid expensive mistakes. False advertising  negatively impacts th

By Ben Brockman

How to Build a Strong Partnership with Your Contract Research Organization

Choosing a Contract Research Organization is one of the most important decisions you make when running a clinical study. The right CRO does more than execute a protocol. They help you reduce risk, stay aligned, and generate evidence you can stand behind. This article explains how to build a strong, productive partnership with your CRO, from the first conversation through post-study collaboration, so your trial runs smoothly and delivers meaningful results. A strong partnershi

By Ben Brockman

Collagen Clinical Studies for Modern Brands

Collagen is one of the most popular ingredients in supplements, foods, and beauty products. But popularity alone does not build trust. Brands increasingly rely on collagen clinical studies to understand what collagen actually does in humans and how to communicate those findings responsibly. This article explains what collagen clinical studies are, what they typically measure, and how brands use them to support product development and marketing decisions. Collagen clinical stu

By Ben Brockman

Real-World Data vs. Real-World Evidence: Understanding the Difference

Real-world data and real-world evidence come up constantly in conversations about product validation, clinical studies, and regulatory strategy. They sound similar, and they are closely related, but they are not interchangeable. Understanding the difference matters if you are deciding how to support a product claim, design a study, or communicate credibility to regulators, partners, or consumers. This article explains what each term means, how they connect, and when brands ac

By Ben Brockman
Featured image for In Silico Testing in Clinical Trials: A High-Level Overview