Find waste faster and prove your improvements with AI as your analyst.
Get the Process Improvement briefAI now handles much of the slow groundwork in process improvement, like summarizing interview notes, drafting process maps, and crunching cycle time data into charts. It can spot patterns across defect logs, ticket histories, and survey responses that used to take days to review by hand. That gives you more time for root cause work and getting buy-in from the people doing the actual work.
Paste these into Claude or ChatGPT and replace the bracketed parts with your own details.
I am improving the [process name] process. Based on this description: [paste description], draft a SIPOC table listing Suppliers, Inputs, Process steps, Outputs, and Customers. Flag any step where the input source is unclear.Here is the problem: [describe defect or delay]. Walk me through a 5 Whys analysis and then organize possible causes into a fishbone diagram using the categories People, Process, Equipment, Materials, Environment, and Measurement.Review these process steps: [paste steps with times]. Identify which steps are likely the 8 wastes (defects, overproduction, waiting, non-utilized talent, transportation, inventory, motion, extra processing) and explain your reasoning for each.Turn these rough notes into clear standard work instructions for [task name]: [paste notes]. Use numbered steps, note who does each step, list required inputs, and call out any quality checks.Here is cycle time data for [process]: [paste data]. Calculate average, median, and range, identify the slowest steps, and tell me which 2 steps to target first for the biggest impact.One AI tool, one prompt, and one trick for Process Improvements, every weekday morning. Free.