How should the task be set by the analyst to ensure the algorithm is implemented correctly?

For the correct implementation of the algorithm, the analyst must clearly and unambiguously formulate the task, including:

• Objective of the analysis: what exactly needs to be obtained or predicted.
• Data description: what data is available, their format, quality, and limitations.
• Success metrics: how the effectiveness of the algorithm will be evaluated (accuracy, speed, other KPIs).
• Constraints and requirements: technical, business constraints, permissible resources.
• Context of use: where and how the algorithm will be applied, who the end user is.

For example, if the task is to predict customer churn, the analyst should specify what customer data is available, for what period, which metrics are important (e.g., accuracy or completeness), and how the results will be used in business processes.

A clear task formulation helps developers choose the right approach and avoid misunderstandings.