Intro » How to Implement ChromaChecker
January 30, 2026

How to Implement ChromaChecker

ChromaChecker enables you to monitor and manage your workflow to deliver consistent, high-quality color across print manufacturing and beyond. At its core, ChromaChecker centralizes color communication, allowing organizations to align internally and collaborate seamlessly with external partners, including Print Buyers and Print Service Providers. This same framework extends beyond print, supporting color consistency for manufactured products such as injection-molded parts, painted components, and textiles.

Our implementation model follows three simple, proven steps:

 

 

 

     

Phase 1 – Data Gathering

This phase focuses on the systematic collection and analysis of production data, along with planning for who within the organization can benefit most from reporting. Initial measurements provide a clear snapshot of how devices are operating today, establishing a reliable baseline for current production performance. During this phase, no production changes are introduced beyond routine measurement tasks, ensuring that existing workflows and output remain uninterrupted.

Implementation and training emphasize standardized data collection processes in preparation for deeper analysis. By avoiding changes to production at this stage, organizations gain an accurate, unbiased understanding of real-world operating conditions.

This approach delivers the most valuable insight for decision-making related to Color Conformance and reporting strategies. Data collection is performed from an organizational perspective, with maximum value achieved when measurements represent the full breadth of production across the enterprise, including multiple devices, shifts, substrates, and product types.

If limitations are identified in the data, they are not viewed as obstacles but as valuable indicators of improvement opportunities. Early insights into device behavior, instrumentation, software configurations, operator workflows, and control strip usage help expose legacy challenges that must be addressed. These findings form the foundation of a strategic roadmap designed to achieve organizational color quality goals.

 

Baseline Devices
Baseline data represents devices operating under optimal, real-world production conditions. No workflow or process changes are required. These baselines are monitored continuously to support analysis and long-term performance tracking.

Benchmarking
For organizations planning equipment purchases, we recommend requesting manufacturers to run standardized benchmark files for evaluation. Over time, a formal benchmarking program can be applied across all production presses to ensure performance aligns with published specifications and internal quality standards.

Phase 2 – Analysis

System Review: Once you have a sampling and determine the production capabilities, the analysis will define the timing for adjustments and deploy improved workflows. Adjustments may include control strips, workflow configuration, profiling and/or curve generation, centralization of Spot Libraries, centralization of Substrate Libraries, Print Condition Qualification, etc. 

Phase 3 – Deployment

Roll-out is based on the analysis.  If the tolerances set by the organization are being met, only monitoring is required. If the tolerances are not being met, the roll-out will be designed to troubleshoot and change workflows to meet defined goals.

Deployment can utilize various tools available, such as the E-Learning system and OnDemand tutorials. This can be complemented by more formal training if needed. Overall, a “Train-The-Trainer” approach is used during the initial deployment to extend knowledge to the production environment and ease language barriers.

Return to Step 1 – Data Gathering

After initial deployment, the data is monitored and reported to ensure that defined goals are met.

 

 

Join our sample initial projects to learn more.

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