Seek first to understand, then to be understood. We want to drive our team toward discussion, not argumentation. This is why listening to their perspectives first is important, so we can gauge their level of understanding of the data insights. Data insight is not just about collecting and viewing data; it's about interpreting it to uncover patterns, trends, or correlations that can inform decision-making. By knowing our team's level of understanding, we can align their perspectives so that everyone has the same level of comprehension.

Working for a data heavy company, i can tell you for sure that stabilizing " the source of truth " is relevant. Choose well, and stay with your choice unless proven wrong. Finance should be your best friend for anything data.

Rather than relying on subjective views, emphasize decisions based on clear, relevant data. Use agreed-upon metrics and analytics to evaluate solutions. This can neutralize debates and shift the conversation toward factual information.

When debates arise, redirect the conversation back to the primary objective. For instance, if team members are debating technical features, remind them: “At the end of the day, the goal is to solve the customer’s pain points. How does this feature impact the solution’s overall value to the customer?

Il y a un repère sur lequel on doit pouvoir s'aligner: est ce que l'information sur la donnée est un fait validé par le client ou bien une réflexion faite par les vendeurs? Ceci permet de voir plus claire, sans pour autant essayer d'aligner tout le monde autour du même point de vue. Lorsque la divergeance persiste il y a pas mieux que revenir vers le client. C'est un signe qu'on s'intéresse à lui et à ses problèmes, à chercher a bien comprendre et qu'on fasse la preuve de transparence et partager avec lui nos divergeances en alimentant la discussion. Ça ne fait que créer un alignement encore plus solide avec le client sur le projet et plus de partage sur ses insights

I believe training and development of the team will ensure that all team members have a solid understanding of the product, market, and sales techniques. This knowledge can help everyone speak the same language and understand customer needs better.

When my team is divided on data insights, I focus on fostering open dialogue. I encourage everyone to share their interpretations and concerns. We review the data together, ensuring we have a clear, shared understanding. By highlighting common goals and using data as a guide rather than a point of contention, we work to align our perspectives. Collaborating on solutions allows us to leverage diverse viewpoints while ensuring our sales strategy remains data-driven and effective.

Aligning perspectives on data insights in technical sales can be done with these steps: 1.Clarify Goals: Ensure everyone understands the shared objectives behind analyzing the data. 2.Share Data: Provide transparent access to the same data and reports to eliminate bias. 3.Standardize Terms: Define key metrics clearly to prevent misunderstandings. 4.Promote Data Literacy: Offer training to ensure everyone can interpret the data correctly. 5.Collaborate: Hold regular review sessions to discuss insights and align views. 6.Focus on Data-Driven Decisions: Encourage decisions based on data, not opinions.