What is the most reliable way to benchmark time saved by generative AI assistants in a traditional business setting today?
Download run
Fan-out diagram
The searches the AI actually ran for this prompt.
SEED QUERY
What is the most reliable way to benchmark time saved by generative AI assistants in a traditional business setting today?
3 real searches · 1 real-search pass
2026 research measuring generative AI productivity workplace randomized controlled trial time saved task quality field experimentGoogle ↗
OBSERVEDReason
NBER generative AI workplace productivity customer support study time per issue quality 2023Google ↗
OBSERVEDOther / navigational
generative AI productivity measurement framework randomized controlled trial time motion study enterprise AI ROIGoogle ↗
OBSERVEDConsequence
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 (3)
Classes come from the query-classifier (a local Laya model). 3 of 3 calls are low-confidence (under 50%) — hover a query in the table to see its confidence.
Searches and sources
ChatGPT3 real searches · gpt-6
2026 research measuring generative AI productivity workplace randomized controlled trial time saved task quality field experiment Google ↗
NBER generative AI workplace productivity customer support study time per issue quality 2023 Google ↗
generative AI productivity measurement framework randomized controlled trial time motion study enterprise AI ROI Google ↗
- Shifting Work Patterns with Generative AI · nber.org
- Shifting Work Patterns with Generative AI · aeaweb.org
- Generative AI at Work* | The Quarterly Journal of Economics · academic.oup.com
- Generative AI at Work* | The Quarterly Journal of Economics · doi.org
- Experimental evidence on the productivity effects of generative artificial intelligence · pubmed.ncbi.nlm.nih.gov
Queries
3 queries · click a column to sort
| Query / type | Search | Intent | Query class | Routing format | Cluster | Freq ↓ | Weight |
|---|---|---|---|---|---|---|---|
2026 research measuring generative AI productivity workplace randomized controlled trial time saved task quality field experiment OBSERVED | Google ↗ AI Mode ↗ | — | Reason | — | — | 1x of 1 | |
NBER generative AI workplace productivity customer support study time per issue quality 2023 OBSERVED | Google ↗ AI Mode ↗ | — | Other / navigational | — | — | 1x of 1 | |
generative AI productivity measurement framework randomized controlled trial time motion study enterprise AI ROI OBSERVED | Google ↗ AI Mode ↗ | — | Consequence | — | — | 1x of 1 |