You're using analytical thinking in process automation. What's the best way to ensure you're doing it right?

1 Define the problem

The first step in using analytical thinking in process automation is to define the problem you want to solve or the goal you want to achieve. You need to understand the current state of the process, its inputs and outputs, its stakeholders and customers, and its pain points and challenges. You also need to clarify the scope and boundaries of the problem, and avoid vague or ambiguous statements. A good way to define the problem is to use a problem statement template, such as:

We want to automate [what] for [who] to [why] by [when].

3 Generate and evaluate solutions

The third step is to generate and evaluate possible solutions for the problem. You need to use your creativity and logic to brainstorm different ways to automate the process, and consider the pros and cons of each option. You should also use criteria and metrics to compare and rank the solutions, such as feasibility, cost, benefit, risk, or impact. You can use tools such as decision matrices, SWOT analysis, or cost-benefit analysis to help you evaluate solutions. You should aim to select the best solution that meets your objectives and constraints.

4 Implement and monitor the solution

The final step is to implement and monitor the selected solution. You need to plan and execute the steps required to automate the process, such as designing, testing, deploying, and documenting the solution. You also need to monitor the results and performance of the solution, such as efficiency, accuracy, quality, or customer satisfaction. You should use feedback and data to measure the outcomes and impacts of the solution, and identify any gaps or issues that need to be addressed. You should also review and refine the solution as needed, and celebrate your achievements.