How can I optimize the custom reporting features during a new Workday HR system setup to track turnover and engagement metrics accurately?
Download run
Fan-out diagram
The searches the AI actually ran for this prompt.
SEED QUERY
How can I optimize the custom reporting features during a new Workday HR system setup to track turnover and engagement metrics accurately?
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
Workday HCM custom reports calculated fields report writer security domains documentation turnover reporting Google ↗
Workday workforce analytics turnover reporting employee engagement survey reporting official Workday Google ↗
- Setup Considerations: Custom Reporting · doc.workday.com
- Concept: Custom Fields in Custom Reports and Calculated Fields · doc.workday.com
Queries
2 queries · click a column to sort
| Query / type | Search | Intent | Query class | Routing format | Cluster | Freq ↓ | Weight |
|---|---|---|---|---|---|---|---|
Workday HCM custom reports calculated fields report writer security domains documentation turnover reporting OBSERVED | Google ↗ AI Mode ↗ | — | Reason | — | — | 1x of 1 | |
Workday workforce analytics turnover reporting employee engagement survey reporting official Workday OBSERVED | Google ↗ AI Mode ↗ | — | Reason | — | — | 1x of 1 |