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To prove the Tilda update improved team productivity without increasing risk, you need to track and balance two sets of Key Performance Indicators (KPIs): productivity metrics (related to delivery speed and efficiency) and risk metrics (related to quality and reliability). Evaluating them in combination provides a holistic view of the update's true impact.

As a general best practice, you should avoid enabling new Dependabot features during any planned or recurring change-freeze windows for your organization. These periods are designed to minimize risk and maintain system stability during times when IT support is limited or business operations are critical.

In case the Rise Calendar rollout causes performance regressions, your rollback and communications plan should be proactive, with clear triggers, defined roles, and tiered messaging. This approach minimizes impact by addressing issues with specific user groups or the entire system, depending on the severity.

To minimize help-desk spikes from a major September release, segment the rollout using a phased, risk-based approach with robust monitoring and a comprehensive communication plan. Instead of a single big bang release, use feature flags, canary deployments, and user segmentation to introduce changes gradually and control the blast radius of any issues.

To prevent sensitive data from being pasted into embedded AI assistants in office apps, organizations must enforce a combination of Data Loss Prevention (DLP) policies, access controls, and data classification. Tools like Microsoft Purview can implement and manage these controls at a granular level. 
Policy creation with Microsoft Purview

• Data classification
• Data Loss Prevention (DLP) rules
• Access controls and endpoint management
• Additional controls