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Submit ticketScatterSpoke leverages advanced AI models to help software development teams gain insights from their feedback. Here's how it works.
Team members provide feedback through retrospective meetings or continuous improvement sessions. This feedback may include insights on team dynamics, processes, or challenges faced during the development cycle.
ScatterSpoke’s AI models analyze the feedback, identifying keywords, phrases, and sentiment. The AI matches this content against a comprehensive library of fundamental topics and best practices common to software development teams, such as communication, sprint planning, technical debt, and collaboration.
Once matched, the AI highlights potential issues related to these topics. For instance, feedback mentioning “missed deadlines” could be linked to poor sprint planning or unrealistic estimations, while comments about “team communication breakdown” might signal collaboration challenges.
ScatterSpoke provides an overview of the detected issues, enabling teams to address them with targeted improvements using Goals, and track changes over time to ensure continuous improvement.
By aligning feedback with industry-standard practices, ScatterSpoke helps teams proactively identify and resolve development bottlenecks, improving overall team performance and satisfaction.
ScatterSpoke helps you eliminate waste in your dev process.