Voici comment vous pouvez déléguer efficacement des tâches pour améliorer la productivité dans une carrière axée sur le service.

Para delegar tarefas de forma eficaz em uma carreira orientada a serviços, identifique as habilidades e pontos fortes de cada membro da equipe, defina expectativas claras, forneça recursos e suporte necessários, e acompanhe o progresso regularmente, permitindo autonomia e incentivando a responsabilidade para aumentar a produtividade.

I’m not certain I’m in complete alignment with this premise, although the low hanging fruit has it’s place. Much depends on the team member being discussed. I absolutely WOULD assign a complex issue to someone with limited experience if the conditions were favorable for collaboration and growth. That’s part of the investment we make in our teams, to challenge them to find strengths THEY weren’t even aware of.

It’s so important that we take the time to recognize and celebrate success rather than check off our team’s achievement like a typical “to do” list. Oftentimes I don’t witness the obstacles someone overcomes to complete a project or task, so it’s important to acknowledge and debrief afterward. I interview my teams post project and the question never changes- “Knowing what you know now, what support could I have provided to make the project even more successful?” Their feedback is the foundation on which we facilitate change and improvement.

As a leader, my number one priority without a doubt is ensuring my teams have all the tools necessary for success. This includes not only the tangibles, but the empowerment and a compensation model which promotes ownership mentality.

Los recursos deben ser provistos tanto para satisfacer las necesidades del cliente interno como del cliente externo. Cosa que al menos en Argentina, el cliente interno no posee los recursos ideales, solo menos que básico.

Harnessing AI-powered systems to monitor progress can revolutionize service operations. These systems offer real-time insights into performance metrics, enabling proactive adjustments and optimizing resource allocation. For instance, in after-sales service, AI can predict equipment maintenance needs based on usage patterns, ensuring timely interventions to prevent breakdowns. By leveraging AI analytics, teams can streamline workflows and enhance efficiency, translating into faster response times and higher customer satisfaction. Embracing AI isn't just about technology; it's about empowering teams to deliver exceptional service predictably and reliably.

Building an inclusive culture that encourages feedback is pivotal in service-oriented careers. When every team member feels valued and empowered to share insights, the organization gains a wealth of diverse perspectives that drive continuous improvement. For example, implementing regular feedback sessions where frontline staff can contribute their observations on customer interactions fosters a culture of learning and adaptation. This inclusivity boosts morale and enhances service quality by addressing issues swiftly and effectively. Ultimately, a feedback-rich environment cultivates a shared commitment to exceeding customer expectations, turning challenges into opportunities for growth and innovation.