The feasibility analysis begins with establishing criteria for assessment that includes which three categories?

The correct choice focuses on stability, suitability, and complexity as the primary categories for assessing the feasibility of a project. Stability assesses how reliable and dependable the processes or systems are over time, which is critical for understanding if an automation solution will yield consistent outputs. Suitability evaluates whether the existing processes are appropriate for automation, considering factors like the fit with company goals and whether the processes can benefit from automation in terms of efficiency or effectiveness. Complexity involves assessing how intricate the tasks are, which can impact the difficulty of creating an automated solution and the resources required.

These three criteria play a crucial role in determining whether a project is viable and sustainable, which is essential in a feasibility analysis. Understanding these aspects allows stakeholders to make informed decisions about whether to proceed with automation initiatives in a way that aligns with organizational capabilities and objectives.

In contrast, the other options touch on relevant factors but do not comprehensively cover the fundamental assessment criteria needed to initiate a feasibility analysis effectively. Factors such as variations, process frequency, and transaction peaks pertain more directly to process performance metrics rather than the broader feasibility considerations at play.