Create a control framework and use it diligently. Slowly yours things will start falling in place.. challenges will become appreciations… Understand and create a robust control framework and then drive it to achieve maximum..

to regain trust, you need to be transparent, have proactive communication to show you are aware of the issue, and show the ongoing improvements. you need to recognize their concerns and be transparent. Show them your progress and keep conducting audits to make sure you are on the right track. Make sure your quality process is improving and meeting requirements. Constantly communicate your progress while also involving the client so that they are aware of what is going on. Make sure to highlight the outcomes, while reaffirming your commitment that you are on top of it. Work on any pain points that the client addresses while you are working on resolving the issue.

Having been on the client side, I understand the importance of regaining trust through consistent improvement and measurable results. Data drives confidence, so demonstrating progress quickly is essential. As a leader, assess the situation, use simple RCA tools like the “5 Whys” to identify root causes, and address quick fixes immediately. Develop a structured plan for more complex issues, provide daily updates, track performance, and share progress transparently. Act swiftly to address any setbacks. Finally, communicate any support needed from the client. Trust is rebuilt through consistent, tangible improvement.

The ideal strategy starts with calculating the COPQ and systematically refining the 4 critical phases of quality control: 1. Validating sampling strategy to ensure reliability and representativeness. 2. Aligning quality parameters with identified failure modes 3. Optimizing audit and feedback practices 4. Driving actionable insights and implementing robust CAPA across all functions—not just within Operations but extending to KM, Training, Recruitment etc Highlight measurable reductions in COPQ to underscore the value delivered. The next phase involves leveraging sentiment analytics /QA autonomation —powered by AI interventions to transition from sample- to population-level analysis, paving way for holistic quality transformation.