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  1. Case Studies
  2. Moolya
Moolya's logo

Custom Solutions in Action: Moolya's Success with AutoProctor

Moolya enhanced their L&D testing by transitioning from Google Forms to AutoProctor's Socratease quizzes, appreciating features like LaTeX support and custom result grouping by topic. This new functionality significantly streamlined their process of evaluating and identifying top candidates across various testing sections.

Case study's hero image for Moolya

About Moolya

Moolya is a software testing company that provides comprehensive testing services designed to prevent bugs and manage tech debt for startups and fast-growing enterprises. They serve a wide range of industries, enhancing software performance, security, and usability through their specialized testing solutions.

Need for Enhanced Result Analysis in L&D Testing

Moolya needed a sophisticated way to view and analyze quiz results by topic to better understand candidates' strengths and weaknesses across different sections of their L&D programs.

Custom Feature Development by AutoProctor

AutoProctor developed a custom feature allowing Moolya to view results grouped by topic, enhancing their ability to assess and improve training effectiveness. This feature was incorporated into the elite plan, making it accessible for extensive use.

Improved Training Outcomes and Insights

With the new feature, Moolya can now easily analyze performance across different training modules, leading to targeted improvements and more efficient learning pathways for candidates.

Favorite AutoProctor Features

Moolya particularly values the customized result grouping by topic, the robustness of Socratease quizzes, and the seamless integration with both Google Forms and Socratease platforms.

Why AutoProctor

Moolya chose AutoProctor for its flexibility in feature customization, its comprehensive analytics capabilities, and its commitment to addressing specific client needs effectively.

Product Feedback

They has been highly satisfied with AutoProctor, noting significant enhancements in data-driven decision-making and overall training effectiveness thanks to the tailored features provided.

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