How can we utilize Atlassian Intelligence for measuring our deployment rate for change request

[Danisse]

How can we utilize Atlassian Intelligence for measuring our deployment rate for change request under Jira Service Management Project

[Dr Valeri Colon (Connect Centric)]

Hi Danisse,

Here are a few ideas to measure your deployment rate for change requests in a Jira Service Management project using Atlassian Intelligence:

Automation Rules: Configure automation rules to log when a change request moves to the “Deployed” status, capturing the deployment date and time automatically.

Notifications and Triggers: Set up notifications to alert the team when changes are approved and deployed, ensuring everyone is informed and records are up-to-date.

Automated Reports: Use Confluence to pull data from Jira into structured reports automatically. Embed dynamic Jira reports and charts for easy viewing.

Monthly/Weekly Updates: Create update pages in Confluence that summarize deployment rates and key trends regularly.

Predictive Analysis: Use Atlassian Intelligence to forecast future deployment trends based on past data, aiding in better planning and resource allocation.

Anomaly Detection: Set up AI to spot anomalies in your deployment rates, such as unexpected spikes or drops, which can signal issues needing attention.

I hope this helps.