How can computer scientists use problem solving skills to communicate with non-technical stakeholders?

Absolutely! Understanding the problem at hand and the potential impact of solving it is key in any partnership. Figure out where they're coming from and what fixing it could do for them. How? Easy. Have open chats, listen up, and take notes. Those notes? Gold for later!

I couldn't agree more. The more knowledge you have of them, the easier it is to tailor a solution for them. But even before the solution, communication plays a major role.

First you need understand the person who you need explain the problem or solution, after that you can use some normal words or exemplify with things we do on a daily basis to what the problem was in the person's imagination.

It is not clear what the computer scientist is trying to communicate. Is (s)he trying to explain an algorithm in detail? Is it an overview of AI or ML? Is it an overview of graph theory? The speaker should go with backup slides and skip the introductory stuff if the speaker realises that the audience is learned. The real challenge is when the audience is very diverse. Asking the audience a question such as "If you are all already familiar with basic terms in graph theory, I can skip the introductory part, please raise your hand if you want me to skip" is perhaps a good way.

The old adage that “understanding the problem is half of the solution” also holds true when it comes to communicating with non-technical stakeholders. It’s especially important to be able to describe the problem with analogy as well as from first principles. Once your audience/stakeholders have a firm understanding of the problem at hand, describing or collaboratively concluding a solution is thus already half-done.

The ability to articulate complex technical problems in simpler terms is crucial for a computer scientist. It involves not just the explanation of the issue but also connecting its impact to the stakeholders' interests. For instance, when defining a problem, it's beneficial to use analogies or relate the issue to a non-technical scenario that the audience is familiar with. Highlighting the benefits should focus on what matters to them, such as cost savings, efficiency gains, or risk mitigation. Using visuals can help make abstract concepts more concrete, and asking for feedback ensures the message is understood and opens the door for collaborative problem-solving. It's a way to ensure that technology serves people, not the other way around.

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Let's create an engaging experience that simplifies complex concepts for those less familiar with technology. We'll guide you step by step, weaving in storytelling to ensure clarity and customization for your learning journey. Through vivid imagery and relatable examples, we'll simplify intricate ideas. Repetition will help solidify your understanding, and we'll cater to various learning styles for everyone's benefit. This isn't just a typical presentation; it's an interactive voyage that adapts based on your input, crafting an immersive and adaptable learning experience. Come, join us on this journey where complexity effortlessly transforms into captivating simplicity, making learning engaging and accessible to all.

Entendo ser extremamente necessário ancorar a comunica??o entre os técnicos e n?o técnicos em uma ferramenta visual, e no meu caso gosto da EAP (estrutura analítica de projetos ou work breakdown structure em inglês). Com essa ferramenta consigo, mantendo o foco no objetivo final, quebrar e organizar o trabalho de maneira hierárquica, muitas vezes de forma colaborativa entre as partes, chegando em uma vis?o holística do projeto. Em reuni?es de trabalho entre esses dois perfis conseguimos, incentivar a criatividade e o brainstorm, gerenciar potenciais riscos do projeto e garantir que todos os envolvidos tenham o mesmo entendimento do que precisa ser feito e do que é esperado ao final do desenvolvimento.