Writing archive
Writing organized by creation date.
A publicly reusable metric dictionary: from requests and users to tasks, explaining how availability, error, latency, performance, and feedback data should be defined, combined, and interpreted.
Part of the column “Data Metrics Guide” · Chapter 2
When you don't know how to open or what to talk about, begin by defining the problem clearly. A question-and-answer checklist that managers and reports alike can follow.
Part of the column “One-on-One Conversations” · Chapter 2
Metrics are not numbers on a report; they are the shared language a team uses to describe the same thing. Only after defining the object, event, denominator, and time can data participate in decisions.
Part of the column “Data Metrics Guide” · Chapter 1