Everest · Platform · Performance
Improving Product Quality with QA Strategy & Automation
Transforming product quality validation by migrating critical user workflows from manual checks into automated verification checkpoints.
-52%
5 Months
30% Faster
99.9%
1The Challenge
Everest, a high-traffic operations platform, was encountering quality bottlenecks. Production releases were frequently delayed due to manual testing limitations, and post-release issues were impacting customer satisfaction. Release errors were increasing operational overhead.
Manual Bottlenecks
Release sprints were delayed due to manual regression testing that took days to complete.
Defect Leakage
Undetected bugs were frequently slipping into live builds, impacting customer trust.
Long Feedback Loops
Developers received bug reports days after code updates, slowing down defect fixes.
2My Role & Approach
As the Quality & Product Specialist, I formulated and executed a comprehensive testing overhaul. My approach shifted Everest from manual dependencies to automated quality validation. I focused on mapping critical user workflows, setting automated scripts for regression checkpoints, and integrating automatic testing directly into developer workflows.
Workflow Mapping
Identified and isolated high-priority user journeys that must never break on live updates.
Script Migration
Converted manual checklist scripts into automated code checks that run in seconds.
Developer Guardrails
Integrated tests into code commits, alerting developers of errors before code review.
3The Solution
We established a dual-layered quality verification framework consisting of automated workflow tests and parallel sanity checks. Crucially, we set up automated safeguards that block updates when errors on high-priority paths occur, shifting testing into a continuous loop.
Workflow Verification
Automated tests simulate user activities, checking logins, operations, and settings flows.
Sanity Smoke Checks
Rapid tests run on every code build to verify that vital page components load successfully.
Automated Safeguards
Build validation pipelines automatically block code updates from deploying if any test fails.
4Results & Impact
-52%
Reduction in live product errors and bug leakage after release updates.
30% Faster
Automated checks cut quality validation cycles from days down to under two hours.
99.9%
Ensured high system availability and stability across live web and mobile platforms.
Project Details
QA & Product Specialist
5 Months
QA, DevOps, Backend