Case study

Datometry qInsight

I led design for Datometry qInsight, a groundbreaking platform that transforms data warehousing using virtualization. Collaborating closely with stakeholders, I designed the MVP and UI for qInsight.

Datometry qInsight
Results

About

This case study highlights my role as a design lead in a development team for Datometry qInsight, a revolutionary platform that redefines data warehousing by leveraging virtualization principles. The platform enables applications originally developed for on-premises data warehouses to seamlessly run on any major cloud data warehouse without requiring code or configuration changes. Through close collaboration with stakeholders, product owners, developers, and testers, I played a pivotal role in creating the MVP and designing the initial user interface for qInsight.

Goals


  • The primary objective was to design a user-friendly and intuitive interface for Datometry qInsight that would enable enterprises to rapidly replatform their applications to the cloud with minimal effort.

  • The goal was to simplify the adoption of new database technologies while preserving the intrinsic value of existing applications.
  • Development

    Process

    Understanding phase


  • Conducted extensive research on Datometry qInsight and its innovative approach to data warehousing.

  • Collaborated closely with stakeholders and product owners to gain a comprehensive understanding of the platform's capabilities and target user requirements.

  • Agile Development and Collaboration


  • Embraced an Agile development approach, working closely with cross-functional teams, including product owners, developers, and testers.
  • Participated in sprint planning, daily stand-ups, and sprint reviews to ensure efficient coordination and alignment among team members.

  • MVP Development


  • Led the design efforts to create the Minimum Viable Product (MVP) of qInsight, focusing on essential features and functionality.
  • Created wireframes and interactive prototypes to visualize and validate the user flows and interactions within the platform.



  • User Interface Design


  • Led the design efforts to create the Minimum Viable Product (MVP) of qInsight, focusing on essential features and functionality.
  • Created wireframes and interactive prototypes to visualize and validate the user flows and interactions within the platform.


  • Datometry qInsight Wireframes Datometry qInsight Wireframes Datometry qInsight Wireframes

    Iterative Design and Feedback


  • Gathered feedback from users, stakeholders, and team members to continuously iterate and improve the user interface design.


  • Datometry qInsight

  • Conducted usability testing and incorporated user insights to refine the interface, ensuring a seamless user experience.

  • Datometry qInsight qInsight dashboard main screen

    Datometry qInsight Heatmap









    Final Remarks

    Results


    As a result of my design leadership, Datometry qInsight gained a user-friendly and intuitive interface that simplified the replatforming of applications to the cloud. The MVP and initial user interface design successfully showcased the platform's capabilities and provided a solid foundation for subsequent feature development. The close collaboration with stakeholders and adherence to Agile principles ensured the alignment of design efforts with the product vision.

    Datometry qInsight


    Through my role as a design lead, I contributed to the success of Datometry qInsight by spearheading the design efforts and creating an intuitive user interface. The collaborative Agile approach allowed for effective coordination with stakeholders, product owners, developers, and testers, resulting in a seamless user experience.

    The design-led development process, along with iterative improvements and user feedback, ensured the MVP and initial user interface of qInsight delivered a transformative solution for enterprises looking to embrace cloud-based data warehousing.