
What I like best about Jira Cloud for Sheets is how it bridges Jira’s project data with the flexibility of Google Sheets, making it easy to analyze, manipulate, and report on Jira issues without switching platforms. I appreciate that it automates data updates, so the Sheets always reflect the latest information from Jira, saving time on manual exports. The ability to customize queries, filter data, and build dashboards directly in Sheets is extremely useful for tracking metrics, generating reports, and sharing insights with stakeholders. Overall, it combines Jira’s powerful project tracking with the accessibility and flexibility of spreadsheets, making data-driven decision-making much easier. Review collected by and hosted on G2.com.
One thing I dislike about Jira Cloud for Sheets is that while it’s powerful, it can sometimes feel limited for very large datasets, as Google Sheets has row and formula constraints that can slow down performance. Additionally, complex Jira queries can be tricky to set up correctly, and if not configured carefully, the data updates may not always reflect the most granular filters or custom fields. Finally, since it’s dependent on both Jira and Google Sheets, any connectivity issues or API changes can temporarily disrupt automated updates. Overall, these are minor trade-offs, but they can be noticeable for heavy or highly complex reporting needs. Review collected by and hosted on G2.com.
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Organic review. This review was written entirely without invitation or incentive from G2, a seller, or an affiliate.

