By combining real demographic data from testers, structured fit feedback, and product-level reporting, Naiz Fitting Audit converts subjective fit perception into actionable, data-driven decisions.
Unlike traditional fitting sessions or generic size surveys, Naiz Fitting Audit analyzes actual product fit performance using a methodology structured around three layers of data.
Naiz Fitting Audit is a real product fit performance analysis that helps fashion brands identify sizing issues, quality risks, and product improvement opportunities, both before and after the collection launch.
Each fit evaluation is anchored to verified body data from testers, including age and gender, height and weight, and key body measurements: chest, waist, and hips. This demographic foundation ensures that fit feedback is always contextualized to a real body profile. Brands can segment results by body type and identify which consumer profiles are experiencing sizing issues.
Each garment evaluated generates a dedicated product report that includes reported sizing per item (how testers perceived the fit relative to their usual size) and photographic documentation with real-use images on different silhouettes. These reports allow design, product development, and quality teams to identify specific fit issues at the item level and track improvements across seasons.
Naiz Fitting Audit evaluates each garment across three critical quality dimensions: Comfort (how the garment feels in motion and at rest), Fabrics (material performance, feel, and perceived quality), and Fit (accuracy of the overall silhouette, ease, and proportions). Quality scores provide a standardized and comparable metric for garment benchmarking and identifying high-risk items.
Naiz Fitting Audit provides brands with the fit intelligence needed to correct sizing issues at the source, reducing costly return rates and improving customer satisfaction.
With structured demographic data, photographic evidence, and standardized quality scores, product teams can make sizing and construction decisions more quickly and with greater confidence.
Brands gain a cross-sectional view of fit performance, enabling systemic improvements in grading, pattern development, and supplier quality standards.
By connecting garment performance data with real tester body profiles, Naiz Fitting Audit helps brands understand how their products actually fit the customers they serve.
For fashion brands, retailers, and manufacturers who want to systematize their fit review process before and after production, reduce return rates due to size dissatisfaction, scale fit quality control across multiple product categories, and align design intent with the real body diversity of consumers.
Each tester profile includes age, gender, height, weight, and the three most relevant circumference measurements for garment fit: chest, waist, and hips. This anthropometric data ensures that every fit evaluation is contextualized to a verified body profile.
Yes. Since poor fit is the primary factor for returns in online fashion, identifying and correcting fit issues before or after launch directly impacts return rates. Naiz Fitting Audit provides product teams with the evidence they need to correct sizing at the source.
Naiz Fitting Audit is designed to work across categories such as women’s, men’s, children’s, and activewear. The methodology is garment-agnostic: as long as fit, comfort, and fabric performance are relevant to the product, Naiz Fitting Audit can generate meaningful quality scores and improvement recommendations.
Naiz Fitting Audit adds value in both pre-production (as a validation tool before committing to large-scale manufacturing) and post-launch (as a performance monitoring mechanism). Brands that use it in both phases close the loop between design intent, production, and the actual customer experience.