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Embrace change and deploy with confidence Hammer can assist organizations looking to build a contact center assurance program that helps them:
_Hammer routinely assist our customers measure and build best-in- class solutions for monitoring those individual components, mapping them to business based attributes and dependencies and offering automated methods for recovery.
business to understand if it is providing value or increasing frustration. This platform should also be able to swap out the gender and culture of the automated speaker so the IVR can be tested against regional differences and consumer demographics. This isn’t necessarily a QA person’s responsibility; this may be a UX/ UI team’s goal for objective measurements in non-visual interfaces. Scalability and failover testing The scalability of the solution and its viability in certain component-level failure situations isn’t just an IT operations issue; it’s a customer service issue, which cannot be measured without a controlled and repeatable level of testing from the customer perspective. The measurement of “event windows,” detection triggers, and automated recovery is a complex endeavor; Hammer routinely assists our customers with measuring and building best-in-class solutions for monitoring those individual components, mapping them to business based attributes and dependencies and offering automated methods for recovery.
● Automate customer use cases so developers can accelerate releases
● Deploy cutting-edge technology with confidence
● Ensure systems are operating as designed and intended ● Detect, respond to, and remediate service interruptions and measure their impact on revenue Automated regression and usability tests Automating customer use cases in a platform offering individual step-by-step performance metrics of the IVR system can measure the content, conformance and delivery of the IVR. The platform should also be able to use human- like intelligence to take action in those grey areas of a speech application to determine if it should or should not ask for clarification of what was spoken—this is crucial to understanding if the technology is consistent in the experience it delivers, enabling the
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