How do engineering managers measure developer velocity accurately today without relying on outdated metrics that developers just game anyway?
Download run
Fan-out diagram
The searches the AI actually ran for this prompt.
SEED QUERY
How do engineering managers measure developer velocity accurately today without relying on outdated metrics that developers just game anyway?
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.
Classifying 2 queries…
Searches and sources
ChatGPT2 real searches · gpt-6
Queries
2 queries · click a column to sort
| Query / type | Search | Intent | Query class | Routing format | Cluster | Freq ↓ | Weight |
|---|---|---|---|---|---|---|---|
2026 DORA software delivery performance metrics throughput instability SPACE framework developer productivity measurement OBSERVED | Google ↗ AI Mode ↗ | — | — | — | — | 1x of 1 | |
SPACE framework developer productivity measurement original research dimensions satisfaction performance activity communication efficiency OBSERVED | Google ↗ AI Mode ↗ | — | — | — | — | 1x of 1 |