Background: 

A global consumer goods leader manages over 130 digital products across its enterprise landscape. Despite operating with 90% Agile adoption, the organization faced uneven quality maturity, lack of business confidence in product quality, and a need for structured automation. With legacy systems in play and new platforms emerging, there was a pressing need for a robust, scalable QE (Quality Engineering) function. 

Narwal partnered with this global consumer goods leader to define and implement a multi-phase QE transformation from foundational planning and discovery to automation enablement and ROI-driven business cases. 

Challenges: 

• 130+ products with varied QE maturity, lacking a central quality management function. 

• Absence of formal test automation, regression test beds, and in-sprint automation capabilities. 

• Inconsistent product quality leading to low business confidence. 

• Need to design a QE strategy aligned with value streams and scaled Agile delivery. 

• Lack of structured tools, metrics, and centralized governance to monitor quality across the portfolio. 

Solution: 

Narwal launched a strategic multi-phase engagement to transform the QE landscape: 

Plan & Discovery 

• Developed detailed QE roadmap and weekly execution trackers. 

• Conducted discovery sessions to identify tool access, current state, and use case selection (including Apify, Kondo, Databricks). 

Automation & Enablement 

• Set up Tosca DI for test development. 

• Conducted show-and-tell sessions with feedback loops to mature automation practices. 

• Laid the groundwork for future automation across CPI initiatives. 

QE Strategy Development 

• Reviewed ADO pipelines, assessed current quality metrics, and created dashboards. 

• Developed a formal QE strategy blueprint tailored to Agile value streams. 

Business Case Formulation 

• Built ROI models and estimations for CPI-focused QE teams. 

• Delivered POVs and ROI presentations for investment validation. 

Impact & Business Outcomes: 

• Strategic QE Alignment: Embedded a portfolio-wide quality strategy across Agile teams and product lines. 

• Foundation for Automation: Built automation frameworks where none existed, with roadmap for test coverage expansion. 

• Improved Confidence in Quality: Business units gained visibility into quality metrics and dashboards. 

• Projected ROI Growth: 

• Year 1: ROI range from -66% to 192% 

• Year 2: ROI range from 216% to 473% 

• Year 3: ROI range from 497% to 755% 

• Key Drivers of ROI: 

• Speed: Faster test cycles. 

• Reusability: Automation reusable across builds. 

• Scalability: More coverage with fewer resources. 

• Early Bug Detection: Reducing late-stage defect costs. 

Conclusion: 

Narwal helped the client evolve its quality engineering landscape moving from fragmented practices to a strategic, ROI-backed QE foundation. With improved visibility, structured automation, and centralized governance, the organization transformed quality from a gap into an enterprise enabler. Designed for scalability and measurable ROI, this QE framework now equips the business to accelerate delivery and sustain confidence across its product ecosystem. 

Partner with Narwal today to implement scalable, ROI-driven Quality Engineering solutions that ensure speed, confidence, and enterprise excellence.