How to formulate the right goals for successful cooperation with external AI developers? Given that AI projects are often complex and multifaceted, you want to avoid misunderstandings and mistakes. What approaches do you use to clearly communicate your expectations and objectives?
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I agree that properly formulated objectives are key. I would start by simplifying the objectives as much as possible. Divide the project into parts that are easy to explain even to those who are out of the loop. This will help avoid confusion and save time. Regular dialog with developers is also important, so that you can adjust the direction in time if something goes wrong.
To do this, it is important to break down the goals into several steps: strategic, tactical and technical. Strategic objectives are related to the overall outcome: for example, improving the user experience or automating processes. Tactical goals deal with specific steps: what data to use, how much work is expected. And technical goals are the details: what algorithms or models you want to apply. It's imperative to define measurable success criteria. For example, if the goal of the project is to improve forecast accuracy, it is worth specifying the specific numbers you want to achieve. Another important point is to openly discuss expectations. Make sure the development team understands not only what you want, but why. This helps to build trust and reduce the risk of misunderstandings. It's also worth using the services of professional platforms such as AI Outsourcing. There, you will not only be helped to find the right specialists, but also help you to formulate your requirements correctly. It is also important to leave room for flexibility, as new ideas or changes may arise during the implementation process. Bottom line: clarity, measurability and transparency are the three pillars of successful cooperation!