Leading retailer optimizes its digital journey with KnowHOW

Leading retailer optimizes its digital journey with KnowHOW

A leading US retailer sought to enhance operational efficiency and maintain its competitive edge in a fast-paced market. With a focus on delivering superior customer experiences, it recognized the need to modernize its Agile practices and leverage data-driven KPIs for decision-making across its delivery teams.

Challenge

This retailer faced several challenges in maintaining consistent engineering quality and agile maturity, while managing high-paced retail operations. Their teams struggled with:

  • Limited visibility into sprint performance metrics such as defect density, lead time, and velocity.

  • Aligning engineering and business teams to a common set of goals and KPIs.

  • Lack of actionable insights for test monitoring and continuous improvement during project delivery.

The organization required a solution to unify teams under measurable KPIs, streamline agile practices, and drive improvements directly influencing retail operations.

Solution

They partnered with KnowHOW, leveraging its robust platform to track high-bar Engineering and Agile KPIs. The tool enabled teams to:

  • Establish entry and exit criteria for testing phases, acting as quality gatekeepers during releases.

  • Utilize dashboards for metrics like scope churn, velocity, and commitment reliability, ensuring accurate estimations and prioritization.

  • Implement a culture of continuous monitoring to align business and technical objectives effectively.

  • Facilitate regular KPI reviews, which became instrumental in generating the right behavior within cross-functional teams.

  • Align stakeholders, across organizations and levels, on project status & performance.

  • Reduce reporting time, allowing more focus on trend analysis and improvements.

Results

  • Real-time, consistent status visibility through KnowHOW has eliminated noise around late callouts for delays, ensuring timely identification of issues and minimizing feature delays.

  • KPI benchmarks are realigned after performance improvements. For example, after achieving significant quality gains, the Defect Density benchmark was reduced from 50% to 25%.

  • A significant improvement in sprint reliability, helping teams deliver on schedule. 

  • Concentrated improvement efforts are spent on highlighted focus areas through Speed and Quality trends.

  • Empowers client stakeholders and delivery PODs to make data-driven strategic decisions.

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