What are the biggest gotchas to watch out for when migrating pipeline history from Pipedrive to Salesforce for the first time.
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Fan-out diagram
The searches the AI actually ran for this prompt.
SEED QUERY
What are the biggest gotchas to watch out for when migrating pipeline history from Pipedrive to Salesforce for the first time.
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
Queries
2 queries · click a column to sort
| Query / type | Search | Intent | Query class | Routing format | Cluster | Freq ↓ | Weight |
|---|---|---|---|---|---|---|---|
Pipedrive Salesforce migration deal history stage changes activities Salesforce opportunity field history tracking documentation OBSERVED | Google ↗ AI Mode ↗ | — | Reason | — | — | 1x of 1 | |
Salesforce Data Import Wizard external ID upsert opportunity history field history tracking limits documentation OBSERVED | Google ↗ AI Mode ↗ | — | Instruction | — | — | 1x of 1 |