Here's how you can enhance your leaders' decision-making with effective research skills.

One (compound) word: One-pager! Condense your report into a slightly-more-glorified pptx slide. Imagine the person reading your report is less-knowledgeable and has only 30 seconds to read it! Make sure to help guide the eyes with bold font, bullet points, and big tables. Use the upper and lower margins, but keep it on one page. This might mean cutting things out or zooming out a bit to focus on key findings. Keep recommendations to a minimum. The results should speak for themselves.

Effective decision-making is crucial for leaders, and improving it starts with solid research skills. Leaders should learn to find and evaluate reliable information. Attending workshops and courses can help improve these skills. Different research methods, like interviews and surveys, give a fuller picture. Working with experts and team members can lead to better decisions. Keeping up with industry trends ensures leaders are well-informed. Providing access to good research tools makes the process easier. Encouraging a culture of curiosity leads to more thorough research. Reflecting on past decisions can improve future research. By focusing on these strategies, leaders can make better decisions that benefit the organization.

Making actionable decisions, particularly in policy or business, relies heavily on robust research skills. Numbers alone are insufficient without a sound methodology. It's crucial to recognize that correlation does not imply causation, and data may be biased. So critical thinking is key. Prior to the analysis, it's essential to consult a variety of sources, including academic papers and grey literature, to understand existing methodologies and findings. Additionally, grasping the policy landscape is vital for contextualizing results and ensuring informed decision-making.

No doubt data plays an important role in the organisation's decision making. In the current age it got crucial importance and now it goes one step forward which is data analysis or data analytics. Now, data without applying some empirical analysis tools means nothing. In order to succeed and make constructive decisions we need applicable and fruitful results and we can only get after applying some statistical and mathematical tools. In the present age it is called data analytics. A data analyst is a person who gives direction and depicts the future outcomes.

In my experience when I make any decision, I gather all the information available. When I get up in the morning. I start to think that first thing first. I set priorities for what task is important for me. I advise my friends and relatives to go bush at night is a very important action. It would save many lives from a heart attack in the night. We should educate all young people about it. Every life on this Earth is important to me. If I get anything at the same price at different places then why do I take it from far away? I will buy it from near to my home. Why do I include fuel charges and waste my time? We should consider the negative impact of any action we take. Stock exchanges are a good example for us. 750 characters are not enough.

For a successful leader the greatest and important quality is willing to learn, relearn and fine tune any mistakes happening at the ground level .... To be successful one should be familiar with the process in and out (reflection) .. further to make things happens development of a protocol or following a protocol for each experiment with constant discussion on improvement is needed(adaptation).