Give me an honest comparison between Linear and Jira for measuring developer velocity accurately, focusing on cycle time metrics and how easy it is to export data for custom reporting.
Download run
Fan-out diagram
The searches the AI actually ran for this prompt.
SEED QUERY
Give me an honest comparison between Linear and Jira for measuring developer velocity accurately, focusing on cycle time metrics and how easy it is to export data for custom reporting.
3 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 3 queries…
Searches and sources
ChatGPT3 real searches · gpt-6
Linear analytics cycle time metrics export CSV API documentation issues timestamps Google ↗
Atlassian Jira cycle time control chart export CSV REST API changelog documentation Google ↗
Linear API issue history timestamps cycle time analytics documentation Google ↗
- Insights · linear.app
- View and understand the control chart | Jira Cloud · support.atlassian.com
- Control Chart | Atlassian Support · confluence.atlassian.com
- Exporting Data · linear.app
- API and Webhooks · linear.app
- The Jira Cloud platform REST API · developer.atlassian.com
- The Jira Cloud platform REST API · developer.atlassian.com
Queries
3 queries · click a column to sort
| Query / type | Search | Intent | Query class | Routing format | Cluster | Freq ↓ | Weight |
|---|---|---|---|---|---|---|---|
Linear analytics cycle time metrics export CSV API documentation issues timestamps OBSERVED | Google ↗ AI Mode ↗ | — | — | — | — | 1x of 1 | |
Atlassian Jira cycle time control chart export CSV REST API changelog documentation OBSERVED | Google ↗ AI Mode ↗ | — | — | — | — | 1x of 1 | |
Linear API issue history timestamps cycle time analytics documentation OBSERVED | Google ↗ AI Mode ↗ | — | — | — | — | 1x of 1 |