Can someone explain why identifying project bottleneck causes is so hard in Jira and what plugins fix this visibility issue for small teams?
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Fan-out diagram
The searches the AI actually ran for this prompt.
SEED QUERY
Can someone explain why identifying project bottleneck causes is so hard in Jira and what plugins fix this visibility issue for small teams?
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.
ChatGPT real searches (2)
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
Jira bottleneck analysis plugins cycle time control chart workflow analytics small teams Atlassian Marketplace 2026 Google ↗
Jira plugins bottleneck visibility WIP aging blocked time cycle time analytics ActionableAgile Time in Status eazyBI Google ↗
- View and understand your cycle time report | Jira Cloud · support.atlassian.com
- View and understand the control chart | Jira Cloud · support.atlassian.com
- Time in Status – General Product FAQ | Time in Status · help.saasjet.com
- Time in Status · marketplace.atlassian.com
- ActionableAgile website · actionableagile.com
- eazyBI website · eazybi.com
Queries
2 queries · click a column to sort
| Query / type | Search | Intent | Query class | Routing format | Cluster | Freq ↓ | Weight |
|---|---|---|---|---|---|---|---|
Jira bottleneck analysis plugins cycle time control chart workflow analytics small teams Atlassian Marketplace 2026 OBSERVED | Google ↗ AI Mode ↗ | — | Reason | — | — | 1x of 1 | |
Jira plugins bottleneck visibility WIP aging blocked time cycle time analytics ActionableAgile Time in Status eazyBI OBSERVED | Google ↗ AI Mode ↗ | — | Reason | — | — | 1x of 1 |