Voici comment vous pouvez intégrer les commentaires de vos collègues ou superviseurs dans vos présentations d’analyse de données.

Firstly you have to recognize the feedback providers and acknowledge their input in the presentation. then you go ahead to address any concerns or questions raised in the presentation,focusing on areas of improvement. After that, you go ahead to implement the feedback and suggestions into your analysis and presentation.

Comunicação e empatia serão sempre necessários. Você precisa saber se comunicar, ser claro quando houver duvidas e tentar ver a necessidade do projeto e das pessoas que irão utilizar. Isto é no inicio, se você não sabe o que vai resolver e nem como solicitar ajudar para realizar, pode acabar coletando informações que não são importantes para o problema

After you have showcased your data analysis presentation, always request others' perspectives because everyone has their own way of doing things. Taking their feedback can enhance your presentation. Remember to consider that feedback for your next presentation. Acknowledge whether you have implemented the feedback, and if not, explain the underlying reason.

In my experience, the first step to integrating feedback is to actively seek it out. I make it a point to ask colleagues and supervisors for their thoughts on my presentations, focusing on both content and delivery. This can be done through formal reviews or informal discussions. By being open to different perspectives, I gather a wealth of insights that can help improve my work. This approach ensures that my presentations are well-rounded and address various viewpoints.

Consult your superiors and coworkers for comments after delivering your data analysis. Seek feedback on your presentation's overall storyline, intelligibility, and relevancy. To improve your abilities and make sure your data offers a compelling tale, welcome constructive criticism. Establishing a transparent feedback environment facilitates the successful improvement of your presenting abilities.

Once I have the feedback, I take time to reflect deeply on it. I consider the suggestions carefully, thinking about how they can improve the clarity, accuracy, and impact of my presentation. This reflection helps me understand the underlying reasons for the feedback and how it aligns with the goals of my analysis. By thoughtfully considering each piece of input, I can make more informed decisions about what changes to implement.

Ouvir e ter a famosa empatia. Essencial ter essa postura em entender o problema na essência, pois eventualmente, nem os envolvidos tem tanta certeza de como resolver. Agindo desta forma e sem ter lados no processo, você conseguira unir o melhor dos dois mundo, entendendo com quem esta no dia-a-dia, os problemas que mais incomodam e não tendo nenhum viés comportamental, que vai possibilitar trazer algo novo a este problema antigo.

After getting criticism, give each article careful thought. Keep an open mind and assess how relevant it is to your objectives. Think about how the suggestions might help you achieve your data analysis goals and convey your findings more effectively. This careful consideration transforms criticism into doable actions for development.

After gathering feedback from my colleagues and supervisors on a recent data analysis presentation, I took the time to reflect deeply on their insights. I considered each suggestion carefully, assessing its relevance to my presentation's goals. By staying open-minded and avoiding defensiveness, I was able to identify which feedback aligned with my objectives and could help me convey my findings more effectively. This reflection process was crucial in transforming valuable feedback into actionable improvements, ultimately enhancing the clarity and impact of my presentation.

Prioritize the edits that will improve your presentation the most after considering criticism. This might entail rethinking your strategy for improved narrative or modifying graph scales for clarity. Pay attention to adjustments that will improve the clarity and interest of your data. Making meaningful feedback a top priority will guarantee that your presentations are engaging and successful.

After reflecting on feedback from a recent data analysis presentation, I prioritized the changes that would have the most significant impact. I focused on suggestions that would enhance clarity and engagement, such as adjusting visualizations and refining the narrative. By implementing the most critical feedback first, I ensured my presentations were more effective and resonated better with the audience. This approach not only improved the overall quality but also made my data analysis more compelling and easier to understand.

Make the necessary updates to your presentation slides once you've prioritized the input. For clarity, rework explanations, rearrange slides, and redesign images. To make changes quickly, use tools for charts and layouts. In order to properly explain your data analysis findings, make sure your revised slides are logically organized, visually appealing, and clear.

Once I prioritized the feedback, I updated my presentation slides to reflect the changes. This included redesigning data visualizations for clarity, rewriting explanatory text, and restructuring the slide order for a more logical flow. Using tools like chart editors and layout options, I made these adjustments efficiently. The updated slides were not only visually appealing but also clearly conveyed the message of my data analysis, making it easier for the audience to follow and understand. This process significantly enhanced the overall impact of my presentations.

Practice giving your revised presentation, paying particular attention to the suggestions made. Make arguments clear and highlight important discoveries as indicated. This exercise increases self-assurance in the ability to deliver the updated material clearly. Recall that effective delivery is just as important as content itself for keeping your audience interested.

After updating my presentation slides based on feedback, I practiced delivering the revised content. I focused on areas where feedback highlighted the need for clarity or emphasis. By rehearsing, I became more comfortable with the new format and ensured that I could present confidently and engagingly. This practice was crucial in refining my delivery, making my data analysis more impactful and effectively communicated to the audience.

A lot of times we get in our bubble and think what we are doing or how we are presenting something is the perfect and absolutely right way. But then we end up having a presentation that only resonates with one member of the audience. If we take others’ feedbacks and critics into consideration and mould them into our presentation, that would reflect voices of different people and resonate with larger audience!

After updating and practicing my presentation, I sought additional feedback from a small group of trusted colleagues. This iterative process helped me gauge whether the changes were effective and identify any remaining areas for improvement. By continually integrating feedback, I refined my presentation skills and ensured my data analysis was clear and impactful. This approach not only enhanced my presentations but also demonstrated my commitment to delivering thorough, audience-focused analysis.