How can entry-level data visualization professionals get effective feedback?

Este artículo ofrece una guía valiosa para optimizar la visualización de datos, destacando la importancia de definir objetivos claros. Para complementar, es crucial enfatizar la adaptabilidad en el proceso de dise?o. A medida que recibimos comentarios, debemos estar dispuestos a ajustar nuestros objetivos iniciales en función del feedback recibido. Esto no solo mejora la calidad final del proyecto, sino que también fomenta una mentalidad de crecimiento y aprendizaje continuo. Además, considerar la diversidad de la audiencia puede enriquecer el enfoque de accesibilidad y relevancia, asegurando que la visualización sea inclusiva y comprensible para un público más amplio.

As an entry-level data visualization professional, you can get effective feedback by learning the basics of data visualization ??, using common data visualization techniques ??, seeking feedback from colleagues and mentors ??, participating in online communities ??, and taking courses and attending workshops ??. Feedback is essential for growth and improvement, so don’t be afraid to ask for it and use it to improve your skills and work ?? .

Certainly! A more effective feedback approach involves sharing your work on public platforms. Both Tableau and Power BI offer public forums where you can publish your dashboards. Share your visualizations in public communities or on LinkedIn to receive valuable feedback. Experts within these forums often provide candid insights, enabling individuals to enhance their skills and refine their creations. ????

Solicitando comentarios a un mentor o experto. Un mentor o experto puede proporcionar comentarios constructivos y específicos que ayuden al profesional a mejorar sus habilidades. Publicando tu portafolio en línea le permite obtener comentarios de una audiencia más amplia. Puede publicar su trabajo en sitios web, foros o redes sociales. Participando en comunidades de visualización de datos. Las comunidades de visualización de datos son un excelente lugar para obtener comentarios de otros profesionales. Puede encontrar comunidades en línea o en su comunidad local.

The aim of your visualization needs to be clear and on point. Being on point on the report/dashboard as there will be space and time constraints. Space Constraints on the dashboard and time constraints with the client/user. If you can deliver these, it will be worth asking your feedback when you get your findings on point.

A great place to get feedback is directly on LinkedIn! Share your dashboard and ask for feedback It's as simple as that It may be daunting to share something you have worked on but try to push past that because you will only grow from doing it

A great place is here on LinkedIn as there are a number of experienced Data analysts who can comment and provide guidance if you post your work. Also by asking peers and colleagues in dedicated slack communities. This works for me in product management.

Es importante destacar la relevancia de un enfoque equilibrado y crítico al recibir feedback. Mientras se buscan diversas opiniones, es esencial mantener una visión objetiva y no desviarse del núcleo de los objetivos del proyecto. Además, incorporar un sistema de evaluación que pese la importancia de cada fuente de comentarios puede ser útil. Por ejemplo, dar más peso a las opiniones de expertos en el tema o a la retroalimentación directa de la audiencia objetivo. Esto asegura que, mientras se consideran múltiples perspectivas, las decisiones finales se alineen con los objetivos estratégicos y la utilidad práctica de la visualización.

Imagine?your development as a data visualization enthusiast is?a road trip. Your feedback sources are the wonderful travelers you meet along the way. Like a bustling marketplace of ideas, Engage with peers, mentors, or online platforms like Data Visualization, Tableau, or GitHub communities where professionals share insights. Diverse feedback sources enrich visualizations like diverse friends enrich a journey. If you're working with healthcare data, collaborate with healthcare professionals to ensure your visualizations are understandable to them. It's like having a GPS tailored to your specific location - more accurate and enjoyable!

In order to get feedback on your dashboard, you have to share results with audience. In these circumstance, a particular audience for a specific dashboard created may differ, since data privacy sealed the right to share internal data with external sources. Dashboard generated from work place should be shared with colleagues at the work place for feedback to improve data insight from the dashboard you have created. Self generated dashboards from persona studies can be shared with public for their feedbacks.

A helpful feedback technique to find out if your diagram is conveying the intended message can be to openly ask what information the viewer is taking away from the visualisation. The viewer's perception can then be cross-checked with the intended message. If the visualisation is aimed at a lay audience, it is recommended that the person providing the feedback is also not an expert in the specialist topic being presented.

Es vital integrar un enfoque proactivo en la solicitud de feedback. Una estrategia efectiva podría ser proporcionar a los revisores una lista de preguntas guiadas o un formulario estructurado. Esto no solo facilita la obtención de respuestas detalladas y enfocadas, sino que también puede inspirar a los revisores a considerar aspectos de su trabajo que podrían haber pasado por alto. Además, podría ser beneficioso solicitar ejemplos concretos o referencias cuando los revisores se?alen áreas de mejora. Esto no solo aclara sus puntos de vista, sino que también proporciona inspiración tangible y una dirección clara para refinamientos futuros.

Among several things, you should try asking open-ended questions. For instance, Imagine you want to verify that your visualization is clearly showing different categories or groups. Instead of asking "are you able to distinguish the different groups?", you could ask "what are the different groups that you see in this visualization?" The advantage of using open-ended questions is that you will get more detailed information rather than only yes or not.

It's also useful to note how long it takes someone to respond when you ask them what their key takeaway would be. Are they struggling to interpret what is shown or do they "get it" quickly? And, does their verbal feedback match their body language (or are they just being polite)?

One thing which I found useful was, one must not take the feedback personally or defensively. Most of the time this happens, when the feedback was negative or not up to the mark one will feel like their work is being criticised. But when our work gets recognised and we get recognised, our confidence boosts and it will really create a positive impact on our future processes. Whether it may be positive or negative we must really appreciate the time they spent for us. One thing which I repeatedly say is that we must learn from mistakes which helps us to grow !

Como complemento, es esencial adoptar una actitud de humildad y curiosidad. En lugar de ver los comentarios negativos como críticas personales, deberíamos considerarlos como oportunidades para crecer y mejorar. Un aspecto clave es mantener una mente abierta y estar dispuesto a cuestionar y ajustar nuestra propia perspectiva. Esto no solo mejora nuestra capacidad para adaptarnos y evolucionar profesionalmente, sino que también promueve un ambiente de colaboración y respeto mutuo con aquellos que proporcionan la retroalimentación. En última instancia, la capacidad de integrar constructivamente tanto los comentarios positivos como los negativos es lo que nos permite alcanzar la excelencia en nuestro campo.

One thing you should remember is that you should be open to receive feedback and reviews from all people whether they have knowledge in that particular subject or not. One may comment on the technical part while the other user may help you with the design or UI part. Always welcome the suggestions and remember everyone's perspective has to be respected.

Two best ways to receive valuable feedback as an entry-level data visualization professional are: 1. Non-data experts: Present your visualization to individuals unfamiliar with data visualization tools or the specific data. Check if they can comprehend your visualization and interpret it as intended for the end user. 2. Data experts: Share your visualization with individuals knowledgeable in data analysis but unfamiliar with the specific dataset. They can provide feedback from an expert perspective, ensuring the accuracy and relevance of the data presentation.

Es crucial a?adir que el equilibrio entre la integración de comentarios y la preservación de la visión original es esencial. Deberíamos considerar los comentarios como una herramienta para refinar y no como una directriz absoluta. Al aplicar cambios, es útil establecer métricas específicas para evaluar su efectividad. Esto nos permite medir objetivamente si las modificaciones han alcanzado los objetivos deseados y cómo resuenan con la audiencia. Además, mantener un registro de las versiones previas y los cambios realizados puede ser invaluable para comprender el progreso y la evolución del proyecto. La iteración es un proceso continuo que combina creatividad, análisis crítico y adaptación.

Reaching out to your supervisor or team members to ask for feedback on projects or data visuals. Many supervisors would encourage collaboration and support that you get some internal feedback before presenting your drafts deliverables to stakeholder for their feedback.

Be Consistent and not intense. You should always try to be more consistent in your work and receive feedback. Even if you post it every week it is always better than posting 3 in a week and then being out for the next 2 weeks.