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case study

Center for Sustainable Energy optimizes testing with AI-powered no-code automation

Center for Sustainable Energy

Industry

Energy

Products

Zephyr

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Results

  • 90% Frontend regression coverage

    Refocused the team’s efforts on back-end verification and functional changes.

  • Expanded bandwidth

    For automating four new client requests while supporting eight existing clients.

  • Enhanced productivity

    The three-person QA team delivered a brand-new product while managing multiple client requirements.

The Problem

Center for Sustainable Energy, a nonprofit accelerating clean transportation and distributed energy adoption, faced testing challenges. Their Quality Assurance (QA) team’s testing process required a heavy manual workload where the team validated product changes from both front-end and back-end perspectives.

The three-person QA team conducted regression testing for more than eight clients across four different products, and the company consistently onboarded new clients with new requirements. The team had to maintain quality for current clients while fully testing new client requirements but manually testing existing functionality and new functionalities from each sprint was time-consuming. The team needed more bandwidth to thoroughly explore back-end functional changes.

Approach

  • Automated frontend regression testing with AI-powered no-code automation from Zephyr.
  • Reprioritized the team’s efforts on back-end verification and functional changes.
  • Enabled test case sharing and collaboration across QA team members, developers, and product managers.

Benefits

Center for Sustainable Energy transformed their testing approach using Zephyr and its AI-powered no-code automation. The team achieved 90% coverage of front-end regression testing, allowing them to focus on back-end verification and thoroughly explore back-end functional changes.

Enhanced automation significantly improved efficiency in testing and identifying bugs. The team could ensure higher quality work for existing clients while fully testing new client requirements. Using automated test cases, they handled more than four new client requests within just a few months and successfully launched a brand-new product that year, despite being a small team of only three people.

Zephyr enabled the QA team to share test cases with other individuals from the same department. They could easily collaborate with developers and product managers to ensure full coverage and understanding of the products being built.

With AI-powered no-code automation in Zephyr, we achieved 90% frontend regression testing coverage, allowing us to focus on backend verification. This boosts efficiency in testing and bug detection, giving us more bandwidth to thoroughly explore backend changes and improve overall quality.
Lee Yang, QA Engineer,
Center for Sustainable Energy

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