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Decide where a workflow begins, what result it should produce, and what event starts it. You will practice turning vague work like “handle customer issues” into a repeatable path with a clear trigger and finish line.
Use what you learned in the previous lesson to solve real-world problems.
Break everyday work into actions that have a clear start, end, and “done” signal. You will learn to avoid steps that are too vague, too tiny, or mixed with decisions that belong somewhere else.
Check what you understood with a short quiz.
Identify what each step needs before it can run and what it creates when finished. You will reason through how missing inputs, unclear outputs, or poor-quality information slow down automation.
Assign each step to the person, team, or system responsible for completing it. You will distinguish doing the work from being accountable for the result, so ownership does not disappear between teams.
Trace what must move from one owner to the next: the work item, context, status, files, and decisions already made. You will spot handoffs that create waiting, rework, or lost information.
Define the condition that lets work move forward, stop, or return for correction. You will practice replacing fuzzy phrases like “when ready” with observable rules such as “all required fields are complete.”
Separate the normal repeatable path from exceptions, edge cases, and one-off requests. You will decide when a variation should become part of the workflow and when it should be handled outside the automation.
Judge whether work happens often enough and consistently enough to deserve automation. You will compare high-volume stable tasks with rare, changing, or experimental work that may not repay the setup effort.
Look for steps with clear rules, digital inputs, predictable outputs, and low judgment requirements. You will learn why these traits make a task easier for workflow tools, scripts, forms, or bots to handle reliably.
Recognize work that should stay human-led because it needs judgment, empathy, negotiation, creativity, or risk ownership. You will practice deciding when automation should assist the person rather than replace the step.
Choose what status each step should expose, such as received, waiting, approved, rejected, or complete. You will see how simple status signals help people know where work stands without asking for manual updates.
Review this chapter with practice based on your mistakes.