How can I use Workday analytics to track employee burnout risks within our engineering department during Q4 crunch time?
Download run
Fan-out diagram
The searches the AI actually ran for this prompt.
SEED QUERY
How can I use Workday analytics to track employee burnout risks within our engineering department during Q4 crunch 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
ChatGPT2 real searches · gpt-6
Workday People Analytics workforce analytics dashboards skills overtime absence engagement official Workday Google ↗
employee burnout workplace indicators workload overtime recovery psychological safety organizational guidance WHO Google ↗
- People Analytics configuration guide · doc.workday.com
- Time and Absence dashboard guide · doc.workday.com
- From Data to Decisions: the Ultimate Workforce Analytics Guide · forms.workday.com
- Concept: Focus Insights · doc.workday.com
- FAQ: People Analytics · doc.workday.com
- Mental health at work · who.int
Queries
2 queries · click a column to sort
| Query / type | Search | Intent | Query class | Routing format | Cluster | Freq ↓ | Weight |
|---|---|---|---|---|---|---|---|
Workday People Analytics workforce analytics dashboards skills overtime absence engagement official Workday OBSERVED | Google ↗ AI Mode ↗ | — | Other / navigational | — | — | 1x of 1 | |
employee burnout workplace indicators workload overtime recovery psychological safety organizational guidance WHO OBSERVED | Google ↗ AI Mode ↗ | — | Consequence | — | — | 1x of 1 |