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“Supermetrics is a Bitter Experience! We can pull data from nearly any tool, schedule updates, manipulate data in Sheets, and push data back into our systems.”
Testing custom report type changes before deployment prevents breaking Salesforce reports by validating data relationships and field accessibility in a safe environment. Without proper testing, report type modifications can disrupt critical business reporting workflows.
Here’s how to create a comprehensive testing environment that validates your changes while building a more resilient reporting infrastructure.
Create parallel testing infrastructure for risk-free validation using Coefficient
Coefficient provides an excellent testing environment by creating parallel reporting infrastructure that validates data relationships and field accessibility before making any Salesforce configuration modifications.
How to make it work
Step 1. Connect Coefficient to your Salesforce sandbox environment.
Set up Coefficient connections to your sandbox environment to test data access patterns without affecting production. This creates a safe testing space for validating your planned report type changes.
Step 2. Build equivalent reports using direct object access.
Create Coefficient imports that mirror your planned report type structure using “From Objects & Fields” method. This validates that your intended field combinations and relationships will work correctly.
Step 3. Test all field combinations and filtering logic.
Validate every field combination you plan to include in your report type modification. Use Coefficient’s flexible object access to test lookup relationships and ensure data integrity across all planned configurations.
Step 4. Validate lookup field relationships and data integrity.
Test complex lookup relationships by importing data from multiple related objects simultaneously. This validates that your report type changes will provide the expected data connections.
Step 5. Test automated refresh capabilities.
Configure refresh schedules to assess data retrieval performance for complex lookup relationships. This helps identify potential performance issues before they affect production reports.
Step 6. Conduct user acceptance testing with stakeholders.
Share Coefficient reports with stakeholders to validate requirements and gather feedback. This ensures your report type changes will meet business needs before deployment.
Step 7. Monitor data changes over time with continuous testing.
Use Coefficient’s automated refresh schedules to monitor data changes over time, identifying potential issues with your planned report type structure before production deployment.
Build confidence through comprehensive validation
This testing approach prevents breaking changes while often revealing that Coefficient provides superior reporting capabilities, potentially eliminating the need for complex report type modifications entirely. Start testing your Salesforce changes safely.
