All official AI rules/Data analysis

Data analysis

Analyze Data by Checking How It Was Collected and Ruling Out Other Explanations

Use when numbers will drive a decision, such as an experiment result. Checks how data was collected, looks at spread and raw examples, defines metrics and filters clearly, cross-checks results, tests other explanations, and reports what stays uncertain.

Check If a Product Change Works by Comparing Randomly Split Groups (A/B Test)

Use it to learn if a product change really helps. It asks what you will decide and measure, then plans the groups, number of people, test length, and harm checks, and reports the effect and how sure it is.

Keep Data Good Enough for Its Real Use, from Collection to Disposal

Use when data feeds decisions, reports, or services. Defines quality by how the data is used, names owners, sets checks at each stage from collection to sharing and disposal, measures each kind of problem separately, and fixes the root causes of repeat errors.

Run a Data Analysis Project, from the Decision It Should Improve to Real Use

Use for a data analysis or prediction project. Starts from the decision you want to improve and how to measure success, then checks and prepares the data, compares models fairly, puts results into use with ongoing checks, and saves lessons for next time.

Improve One Number Step by Step, Keeping Only Changes That Measurably Help

Use to push one measurable number toward a target. It sets the goal, the limits, and a starting measurement, tries one change at a time, undoes changes that don't help, and reports the best result.

Decide Who Owns Your Company's Data and Plan How to Manage It Better

Use when a company wants to manage its data across teams. Sets the scope, names owners for each area, lists the data work to cover, rates today's state from real evidence, ranks fixes, and sets rules for data from creation to disposal, plus regular reviews.

Sort Customer Feedback Into Themes and Rank What to Fix First

Use after collecting survey answers, reviews, or support messages. It asks how many comments there are and where they came from, then groups them into themes with counts and real quotes, and gives a ranked table of fixes with an owner for each.

Set Up a Voice of Customer (VoC) Program That Turns Feedback into Action

Use when you collect feedback but nothing changes. It asks how you gather feedback now, then plans the surveys and when to send them, who gets which results, and how each finding gets an owner and is reported back to customers.