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Confidentiality Note: To comply with non-disclosure agreements and government classification standards, certain project details have been generalized or abstracted to ensure security and protection of sensitive information.
The Situation
The Situation
Our application was suffering from load times exceeding 10 seconds. Long enough that users were losing patience, making manual workarounds, and filing error reports. The engineering team blamed the UI complexity. The design team blamed the backend architecture. Both diagnoses were incomplete, and we were stuck in a loop.
What I Did
What I Did
I stepped in to lead a structured technical deep dive. Rather than accepting either team's hypothesis, I initiated a 'pairing week', structured sessions where I brought users and developers together. This joint journey mapping approach surfaced the actual bottleneck: the application was requesting the entire database for every single search query, far more data than the interface could display at once.
I owned the requirements definition for the fix: a lazy-loading and pagination framework. I coordinated the implementation sprint with engineering, and validated results through user data.
The Outcome
The Outcome
-69%
Reduction in load time
10s → 3.1s
Load time improvement
+15%
User throughput increase
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