Real ChatGPT answer · index seedr9W69Zuhy5wcompleteB2B software · AI and automation toolsinformational

How do I train my staff to write better prompts so we can actually see those reported generative AI productivity gains?

ChatGPTgpt-62 queries10/31/2026
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Fan-out diagram

The searches the AI actually ran for this prompt.

SEED QUERY
How do I train my staff to write better prompts so we can actually see those reported generative AI productivity gains?
2 real searches · 1 real-search pass
generative AI workplace productivity field experiment worker productivity study 2024 2025 training prompting skillsGoogle ↗
OBSERVED
NIST generative AI profile human oversight data privacy workplace AI training prompt engineering guidanceGoogle ↗
OBSERVED

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.

Classifying 2 queries…

Searches and sources

ChatGPT2 real searches · gpt-6
generative AI workplace productivity field experiment worker productivity study 2024 2025 training prompting skills Google ↗
NIST generative AI profile human oversight data privacy workplace AI training prompt engineering guidance Google ↗

Queries

2 queries · click a column to sort
Query / typeSearchIntentQuery classRouting formatClusterFreq ↓Weight
generative AI workplace productivity field experiment worker productivity study 2024 2025 training prompting skills
OBSERVED
Google ↗
AI Mode ↗
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of 1
NIST generative AI profile human oversight data privacy workplace AI training prompt engineering guidance
OBSERVED
Google ↗
AI Mode ↗
————1x
of 1