Your team owns the build.
Start with AI workflow training and the Factory Line source package. Workshop support is available when you need feedback.
Explore the $2,500 package ↗Turn a request for a report into a clear business question, data scope and acceptance criteria.
Analysts can spend days building a dashboard before discovering that the requester needed a different decision or population.
Help teams agree on the purpose before choosing fields and charts.
An analytics owner accepts a new reporting request.
Draft the question, proposed scope and unresolved metric definitions, identifying overlap with existing reports.
The requester confirms the decision need and analysts validate data feasibility.
Do not promise that unavailable data exists or create sensitive reporting access from a general request.
Measure scope changes, ambiguous metrics, duplicated reports and discovery effort.
Before expanding the workflow, compare the result with the current process. Include review effort and exceptions in that comparison so the improvement reflects the team's actual experience.
Read the implementation guide ↗The workflow stays centered on your business. The engagement determines who learns, implements and operates it.
Start with AI workflow training and the Factory Line source package. Workshop support is available when you need feedback.
Explore the $2,500 package ↗Get everything in DIY, three months of workshops, weekly team sessions and direct implementation coaching.
Explore guided implementation ↗Include all the learning and guidance, with ownership of agreed operations and major implementation decisions.
Explore managed delivery ↗Bring a process, a bottleneck, or an idea. We'll help you decide what to automate, what to keep under human review, and where to begin.