How should I structure our Confluence knowledge base to support a newly adopted SAFe framework for enterprise scaling?
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Fan-out diagram
The searches the AI actually ran for this prompt.
SEED QUERY
How should I structure our Confluence knowledge base to support a newly adopted SAFe framework for enterprise scaling?
2 real searches · 1 real-search pass
Badge and edge weight = share of passes that produced the query. Hover a query for its intent and routing format.
Query classes
Google's semantic query class for every sub-query: what kind of answer each search is after, simulated vs real.
Classifying 2 queries…
Searches and sources
ChatGPT2 real searches · gpt-6
Atlassian Confluence knowledge base space architecture best practices SAFe framework documentation Google ↗
Scaled Agile Framework official knowledge base portfolio ART team levels PI planning artifacts Google ↗
- PI Planning · framework.scaledagile.com
- Knowledge Management Best Practices · atlassian.com
- Knowledge base with Confluence · wac-cdn.atlassian.com
- Use Confluence as a Knowledge Base | Confluence Data Center 11.0 · confluence.atlassian.com
Queries
2 queries · click a column to sort
| Query / type | Search | Intent | Query class | Routing format | Cluster | Freq ↓ | Weight |
|---|---|---|---|---|---|---|---|
Atlassian Confluence knowledge base space architecture best practices SAFe framework documentation OBSERVED | Google ↗ AI Mode ↗ | — | — | — | — | 1x of 1 | |
Scaled Agile Framework official knowledge base portfolio ART team levels PI planning artifacts OBSERVED | Google ↗ AI Mode ↗ | — | — | — | — | 1x of 1 |