Ship Log / AI Workflows
Scoping a Goal Into User Stories and Tickets
Using transcript and meeting data to capture unwritten requests
Problem
A goal arrives as a sentence. Turning it into buildable tickets takes hours, so tickets get written thin, late, or not at all.
Inconsistent ticket quality shows up much later as rework, and rework is the most expensive way to discover a requirement.
Estimates can't be compared when every ticket is shaped differently.
Scope conversations happen verbally, which means they happen again next week.
Solution
An agent that takes a stated goal and returns user stories with requirements, written out as tickets.
A fixed ticket shape — acceptance criteria, dependencies, sizing — so estimates are comparable across the backlog.
Human editing on top of a full draft instead of authoring from a blank page.
The output lands in the backlog, not in a document that needs transcribing.
Result
Planning sessions fell from around an hour to minutes.
Scope discussions happen against written stories instead of a verbal summary.
Sizing consistent enough to plan monthly delivery capacity against.