Hair care claims require clinical backing. Here’s how a well-structured study moves from planning to publishable data.
1. Planning: the decisions made before data collection determine study quality.
Clinical study planning is where the most consequential decisions are made, and the most expensive mistakes are either made or avoided. Before any data is collected, the study protocol must define the primary objective, establish data collection and statistical analysis techniques, align with anticipated product launch dates, and identify appropriate assessment methods for the specific claims being supported. CPT℠ Labs’ team works with manufacturers during the planning phase to develop a protocol that will yield data capable of supporting the intended claims, not one that generates ambiguous results requiring repeat studies.
2. Pre-clinical testing confirms formulation safety before human panelists are enrolled.
Pre-clinical safety testing is a required prerequisite to human trial initiation. At CPT℠ Labs, pre-clinical testing for hair care products is conducted in-house and encompasses dermal irritation testing, in vitro toxicology testing on reconstructed human epidermis, and molecular-level sensory sensitivity testing. All pre-clinical work is completed and analyzed before the study moves to human subjects, and IRB review, where required, follows pre-clinical completion. This sequence protects both panelists and the integrity of the clinical timeline.
3. Clinical study initiation requires operational precision alongside scientific rigor.
Even after protocol approval, a material volume of logistical work precedes first data collection: recruiting and educating panelists, scheduling, and managing all the operational details that determine whether data is collected cleanly. Execution gaps at this stage, including inconsistent panelist preparation, protocol deviations and unclear scheduling, create data quality problems that cannot be corrected during analysis. CPT℠ Labs’ clinical operations infrastructure manages this phase with the same rigor applied to the scientific protocol itself.
4. Data collection methodology must match the specific endpoints being assessed.
Hair care data collection ranges from subjective panelist survey responses to objective instrument-based measurements. CPT℠ Labs employs standardized photography using stereoscopic positioning and studio lighting systems, instrumentation to measure color and shininess, traction-based analysis for hair shedding assessment, hair pluck tests to evaluate growth cycle changes and breakage, and combing technique measurements to assess breakage ratios. Matching the data collection method to the specific endpoint, rather than defaulting to a generic measurement battery, is what produces data specific enough to support the claim.
5. Monitoring, analysis, and reporting determine what the data actually means for your product.
Ongoing protocol monitoring during study execution enables process adjustments before deviations affect the dataset. At study conclusion, CPT℠ Labs’ in-house data professionals interpret results and translate them into information with direct utility for product development, claims support, and regulatory documentation. The output is not raw data. Analysis tells the manufacturer what the study established, what it supports, and where the evidence is and is not sufficient for a given claim.
Trust CPT℠ for Your Hair Care Clinical Studies
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