Spend less time wrangling spreadsheets and more time solving operational problems.
Get the Operations Analyst briefAI now handles the repetitive parts of operations analysis like cleaning messy data exports, writing formulas, and drafting status reports. It can summarize process documentation, spot patterns in throughput and cycle time data, and turn raw numbers into plain-language explanations for stakeholders. This frees you to focus on root cause analysis, recommendations, and decisions about where to fix bottlenecks.
Paste these into Claude or ChatGPT and replace the bracketed parts with your own details.
I have a CSV export with inconsistent date formats, blank rows, and duplicate records. Here is a sample: [paste 10 rows]. Give me step by step instructions to clean it in Excel, plus the exact formulas to use.Our [metric name] changed from [old value] to [new value] over [time period]. Here is the supporting data: [paste data]. Write a 3 sentence explanation for a non-technical manager covering what changed and the most likely drivers.I need a SQL query against a table called [table name] with columns [list columns]. I want [describe result, e.g. average handle time by team for last 30 days]. Write the query and explain each clause.Here is process timing data for each step: [paste data with steps and durations]. Identify the slowest steps, estimate where time is lost, and suggest 3 questions I should investigate.Turn these numbers into a weekly operations report: [paste KPIs and last week's values]. Include a short summary, a table of changes, and a bullet list of items that need attention.One AI tool, one prompt, and one trick for Operations Analysts, every weekday morning. Free.