Real ChatGPT answer · index seedS9qgCzg2SIAcompleteB2B software · AI and automation toolscomparison

How do companies realistically calculate ROI on generative AI productivity gains when half the team uses it for writing and the other half for coding?

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 companies realistically calculate ROI on generative AI productivity gains when half the team uses it for writing and the other half for coding?
2 real searches · 1 real-search pass
generative AI productivity randomized controlled trial writing tasks 2023 2024 coding developers productivity study METR 2025Google ↗
OBSERVEDReason
NBER generative AI customer support productivity study 14 percent productivity qualityGoogle ↗
OBSERVEDReason

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)
Short factOther / navigationalComparisonConsequenceReason100%DefinitionInstructionYes / no

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
generative AI productivity randomized controlled trial writing tasks 2023 2024 coding developers productivity study METR 2025 Google ↗
NBER generative AI customer support productivity study 14 percent productivity quality Google ↗

Queries

2 queries · click a column to sort
Query / typeSearchIntentQuery classRouting formatClusterFreq ↓Weight
generative AI productivity randomized controlled trial writing tasks 2023 2024 coding developers productivity study METR 2025
OBSERVED
Google ↗
AI Mode ↗
—Reason——1x
of 1
NBER generative AI customer support productivity study 14 percent productivity quality
OBSERVED
Google ↗
AI Mode ↗
—Reason——1x
of 1