User Acceptance Product Evaluator Intern
As a UAPe intern, I evaluated the product quality of both new and existing LinkedIn features to ensure their readiness for release. My responsibilities included conducting black box user acceptance testing, functionality testing, usability testing, and exploratory testing. Working within an Agile framework, I collaborated closely with product managers, engineers, and designers to identify bugs, usability issues, and areas for improvement. I also regularly leveraged data analysis tools such as Jira to uncover trends and support product refinement efforts.
Key Projects & Contributions
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AI Prompt Testing: Evaluated 100+ AI-generated prompts on LinkedIn’s advertising platform to assess accuracy, readability, bias, and hallucinations. Delivered actionable insights to cross-functional teams for model improvement.
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Test Case Development: Created comprehensive test cases for transactional user flows in Sales Navigator, covering preconditions, test steps, and expected results. Managed cases in TestRail and contributed to robust test coverage by tracking failed tests and logging bugs.
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Sprint Velocity Reporting: Analyzed team performance by aggregating and visualizing quarterly sprint velocity data using Jira queries and Excel dashboards. Identified contributing factors to incomplete story points and presented findings to the team, enabling improved planning for future sprints.
During my UAPe internship at LinkedIn, I gained hands-on experience in software quality assurance, data analysis, and Agile product development. I applied concepts from my Management Information Systems (MIS) coursework, such as systems analysis, project management, and data analysis to real-world product testing and evaluation. I collaborated with cross-functional teams to ensure product readiness by conducting user acceptance testing, writing test cases, and analyzing performance metrics using tools like Jira and Excel. This experience deepened my understanding of the software development lifecycle and strengthened my ability to translate business needs into technical solutions. It also reinforced the importance of user-centered design and data-driven decision-making in building effective information systems.