Managing diverse feedback in process design is a challenge I’ve often faced in supply chain and logistics optimization. A structured approach is key to balancing stakeholder needs while ensuring efficiency and sustainability. *Identify common themes: Leveraging Lean and Kaizen methodologies, I analyze recurring feedback to pinpoint areas of alignment and prioritize impactful changes. *Engage stakeholders: Facilitating cross-functional workshops has been crucial in aligning diverse perspectives, fostering collaboration, and driving consensus. *Iterate and optimize: Implementing incremental improvements and monitoring KPIs ensures continuous process refinement and adaptability.

Start by categorizing and analyzing the feedback to identify common issues and patterns. Align the feedback with business goals and prioritize it based on impact and severity using tools like the MoSCoW method. Engage key stakeholders to discuss the feedback and make informed decisions, seeking compromises where needed. Develop prototypes or wireframes to test solutions and validate assumptions, using an iterative design process to refine the design. Communicate transparently with stakeholders about how feedback was incorporated and explain any trade-offs made. After launch, continue to gather feedback, monitor performance, and make adjustments as necessary to ensure continuous improvement.

Perfiles de usuario y segmentación: No todas las opiniones tienen el mismo peso. Agrupar el feedback según el tipo de usuario ayuda a enfocarse en lo que realmente importa para los segmentos clave. Decisiones basadas en datos: A veces, la percepción no coincide con la realidad. Usar datos y análisis para respaldar el feedback cualitativo permite tomar decisiones más acertadas. Cambios pequeños y medibles: En lugar de hacer una transformación radical de golpe, es mejor probar ajustes pequeños y ver cómo funcionan. Esto facilita la adaptación y evita errores costosos.

Create a map with opinions of end-user is de most important thing to know where need more improvement. After this point, make reunion with team to see many visions points of the team to analyze the better step to do.

If it is a complicated process, then breakdown the feedback down according to its components. E.g. Is the issue in picking packing or sorting. Focus on the area where there are conflicting results and look at the finer level details. Check if this variance is due to some externalities e.g. experience level, load, operational stability, even things like temperature etc. If there is no other reason apparent. Then take a first principles approach and see what could have been the potential issues that can happen but were not articulated. Take feedback from a different cohort and see if the variance persists.

When I get mixed feedback from users, I first investigate by looking for patterns and talking to key people to understand the main issues. Then, I plan a solution that balances user needs and business goals. Next, I act by making small changes or testing different options while keeping teams aligned. Finally, I measure the results using data and user feedback, making further improvements if needed.

For more complex processes I have ran ‘causal learning’ exercises with key process actors mapping out what the intended process outcomes are and how the work actually gets done - address conflicts/divergence and then align & agree on the adjusted process.

Feedbacks exige priorização, análise de impacto, engajamento e transparência. Usar dados e manter ajustes contínuos melhora a efetividade do processo.