📊Evaluate feasibility: Assess time and resources needed to meet the expanded visualization request. 💬Communicate transparently: Discuss potential impacts on timelines or other tasks with your manager. 🎯Align priorities: Confirm which visualizations are most critical to focus on high-impact areas. 🚀Suggest alternatives: Offer scalable or phased options if resources are limited. 📅Propose adjustments: If needed, request timeline extensions or additional support to maintain quality. 📝Document changes: Keep a record of scope adjustments for future reference and accountability.

> Discussing the most critical visualizations required and their alignment with project goals. > Explaining how adding more visualizations might affect timelines or data accuracy. > Suggesting iterative delivery, starting with essential visuals and adding others later if time permits. > Transparently highlighting resource or time constraints, ensuring realistic expectations. > Repurpose existing visuals or templates to speed up the process.

When your manager requests more data visualizations than initially agreed, it’s key to stay proactive and clear: 🔹 Clarify the priority: Discuss which visualizations are the most critical. Align on which ones deliver the most value to avoid spreading yourself too thin. 🔹 Evaluate time and resources: Consider tools like Tableau or Power BI for faster prototyping, but assess if the request can be met within your current bandwidth. 🔹 Set realistic expectations: If the request exceeds capacity, offer a timeline adjustment or suggest alternative approaches (e.g., fewer, higher-impact visualizations).

In data analysis, uncovering insights often leads to additional questions and follow-up requests for visuals. To manage this, I proactively clarify project goals at the outset to establish clear objectives. I maintain curiosity, aiming for a deep understanding of the data to uncover underlying patterns and causes, while planning my exploration to align with timelines. I select flexible tools and document my work to facilitate efficient adjustments in the future. If new requests arise near deadlines, I communicate the impact on my schedule and prioritize tasks in alignment with team goals. Finally, by understanding the purpose behind additional visuals, I suggest optimized solutions that maintain the quality of insights while saving time.

En la vida hay que ser asertivos, y equilibrar el NO y la flexibilidad. Hay un refrán que dice "rápido y bien no hay quien", y si alguien quiere más debe ser consciente de que más visuales implican más tiempo de desarrollo. Dicho esto, y si vas leyendo mis aportaciones puede sonar aburrido, si las tomas de requerimientos han sido adecuadas, se ha planificado adecuadamente el diseño del modelo de datos, con las herramientas actuales si tenemos las respuestas, "pintarlas es sencillo". Lo he puesto entre comillas, es porque depende de los nuevos requerimientos que tengan esas visuales adicionales, que seguro se puede hacer rápido un primer borrador, pero los ajustes quizá no sean tan evidentes, en cuyo caso entra en juego la asertividad 😊