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Clearing a 6-Week L2 Backlog in Just 4 Days with StrideAI

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OVERVIEW

Balancing Product Innovation with Support Demands

The client is a rapidly growing technology company with a 200-person engineering team responsible for managing a complex ecosystem of applications, integrations, and customer-facing platforms. As the business scaled, the volume of support tickets increased significantly, especially in L2 and L3 tiers, creating mounting pressure on engineering resources. Despite having a skilled engineering team, the organization found itself spending a substantial portion of sprint cycles on support activities rather than on product innovation. Leadership recognized that the growing support burden was impacting delivery timelines, team productivity, and overall business agility.

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CHALLENGES

When Support Backlogs Start Impacting Product Delivery


As ticket volumes continued to rise, the company struggled to keep pace with L2 and L3 support demands. What began as occasional support interruptions gradually evolved into a persistent operational bottleneck that affected engineering productivity and product delivery timelines.


The most common ticket types driving the backlog were:


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Authentication failures and JWT token expiry issues causing widespread user session disruptions

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Payment API timeouts and rate-limit misconfigurations affecting transaction completion rates

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Webhook delivery mismatches breaking order sync and downstream data pipelines

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Database sync lag in reporting modules causing data inconsistency across dashboards