CRM Testing
Healthcare Agreements Case Study

Discover how our team identified critical CRM agreement logic issues before release, helping ensure accurate customer-facing documentation and reducing contractual risk.

GET A FREE CONSULTATION

Project Overview

A healthcare services provider required comprehensive validation of a newly introduced agreement-generation process within their CRM platform. The system was responsible for producing customer-facing healthcare agreements containing service details, contractual terms, and coverage information for a wide range of healthcare plans and support services.

Because these documents formed a critical part of the customer journey, accuracy, consistency, and clarity were essential. Any incorrect service representation or contractual inconsistency had the potential to impact customer trust, create operational confusion, and introduce compliance and reputational risks for the organisation.

Business Challenge

The CRM platform had recently undergone significant structural changes intended to simplify the agreement-generation workflow and improve internal usability. Multiple service categories and agreement fields were consolidated into a streamlined structure designed to reduce manual administration and improve operational efficiency.

While the updated structure improved usability from a business perspective, it also introduced more complex conditional logic within the application. This increased the risk of incorrect mappings, inconsistencies in generated agreements, and edge-case failures that could remain undetected through standard validation processes.

Testing Approach

We performed a structured end-to-end validation process focused on agreement accuracy, conditional business logic, data mapping, and output consistency across multiple service combinations and customer scenarios.

Testing included scenario-based validation, boundary testing, exploratory testing, cross-data verification, and detailed review of generated documentation outputs. Particular attention was given to identifying hidden logic dependencies and ensuring that service selections correctly reflected contractual coverage within the final agreements.

  • Validation of dynamic agreement-generation workflows
  • Verification of CRM conditional business logic
  • Testing of service mapping and data consistency
  • Scenario-based validation across multiple customer profiles
  • Cross-checking of customer-facing agreement outputs
  • Exploratory testing to identify hidden edge-case failures

Key Issue Identified

During testing, a subtle but critical logic issue was identified within the agreement-generation workflow. Under specific combinations of service selections and conditional rules, incorrect service indicators were displayed within generated agreements.

This created a risk of agreements incorrectly representing customer entitlements and contractual coverage. Because the issue only appeared under highly specific conditions, it was not immediately visible through standard testing paths and could easily have progressed into production without detailed scenario-based QA validation.

Potential Business Impact

Had the issue reached production, customers could have received agreements containing inaccurate or misleading service information. This had the potential to create customer confusion, increase support overhead, and negatively affect confidence in the organisation’s contractual documentation processes.

In addition to reputational impact, inaccurate agreement outputs could also have introduced operational inefficiencies and contractual disputes requiring manual correction and additional administrative handling.

Outcome

Through detailed analysis and comprehensive testing, the issue was identified, documented, and resolved before release. The CRM logic was refined, and additional validation checks were implemented to ensure consistent and accurate agreement generation across all supported scenarios.

Following remediation and retesting, the healthcare provider gained improved confidence in the reliability of the platform, reduced the risk of customer-facing inconsistencies, and strengthened the overall quality and integrity of its agreement-generation process.

Ready to Get Started?

Let us help your digital products perform at their best

Contact Us Today