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Recent Posts
How Product Teams Can Prioritize Better with Foxly for Jira
Key Takeaways Gut-feel prioritization does not scale. A consistent scoring framework helps teams make backlog decisions based on business value, effort, urgency, and risk instead of whoever asks the loudest. Foxly brings prioritization directly into Jira. Teams can...
Migrating from Freshservice and Scaling with Atlassian AI
Key Takeaways JSM scales beyond basic ticketing: Jira Service Management connects IT, customer support, operations, and development on one platform, reducing the silos that can slow growing teams. Native DevOps alignment speeds resolution: JSM connects incidents and...
Atlassian Is Changing How You Pay for Usage: What You Need to Know
Key Takeaways Atlassian is expanding usage-based pricing on December 3, 2026. Existing subscriptions remain, but certain AI, automation, Assets, service management, and Bitbucket capabilities will now include metered usage. Extra usage is enabled by default....
Applying AI Across the Digital Thread for Real Business Impact
Key Takeaways AI needs lifecycle context to deliver real value: Standalone AI tools often struggle because they cannot see how requirements, designs, code, tests, and quality data connect across the product lifecycle. The digital thread provides the missing context:...
From CAD to CNC: Unlocking the Power of Creo Manufacturing Extensions
Key Takeaways Creo keeps design and manufacturing connected: Integrated manufacturing extensions use native Creo CAD data, reducing data translation, geometry cleanup, and broken associativity. Creo supports a wide range of manufacturing processes: High-speed milling,...
The Real Challenge of Systems Engineering Isn’t Complexity. It’s Visibility
Key Takeaways Visibility, not complexity, is often the real problem: Disconnected requirements, hardware, software, testing, and quality data make it difficult for teams to understand product status and downstream impacts. Data silos create delays and compliance risk:...