What are the major pain points users experience when migrating their knowledge base from Confluence to Notion AI workspace integration
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Fan-out diagram
The searches the AI actually ran for this prompt.
SEED QUERY
What are the major pain points users experience when migrating their knowledge base from Confluence to Notion AI workspace integration
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.
ChatGPT real searches (2)
Classes come from the query-classifier (a local Laya model). 2 of 2 calls are low-confidence (under 50%) — hover a query in the table to see its confidence.
Searches and sources
ChatGPT2 real searches · gpt-6
Confluence to Notion migration pain points formatting permissions attachments macros user experiences Google ↗
Notion AI enterprise search connected apps permissions indexing limitations knowledge base migration Confluence Google ↗
- Import from Confluence to Notion · notion.com
- Confluence to Notion Migration: Limits, Macros & Broken Links · clonepartner.com
- Confluence to Notion Migration Guide (2026) · helpcompare.com
- Notion Knowledge Base vs Confluence (Migration Guide) · talantir.ai
- Notion AI Connectors overview · notion.com
- Enterprise Search in Notion · notion.com
Queries
2 queries · click a column to sort
| Query / type | Search | Intent | Query class | Routing format | Cluster | Freq ↓ | Weight |
|---|---|---|---|---|---|---|---|
Confluence to Notion migration pain points formatting permissions attachments macros user experiences OBSERVED | Google ↗ AI Mode ↗ | — | Reason | — | — | 1x of 1 | |
Notion AI enterprise search connected apps permissions indexing limitations knowledge base migration Confluence OBSERVED | Google ↗ AI Mode ↗ | — | Other / navigational | — | — | 1x of 1 |