Atlassian's AI Feedback System Enhances Team Communication and Morale
Discover how Fernando Garcia Valenzuela transformed his communication strategy at Atlassian by creating an AI 'pit wall' that audits and enhances his messaging, ensuring that no team member feels overlooked.
Key Facts
- Atlassian's AI feedback system highlights missed recognition, impacting team morale and cohesion.
- 89% of executives see AI speeding work, but only 6% report clear ROI, indicating deployment gaps.
- AI agents reveal subtle communication patterns, suggesting leaders often overlook small but critical signals.
- Fernando's approach emphasizes defining "good" communication, enhancing leadership effectiveness and clarity.
- Real-time auditing of messages fosters immediate behavioral change, improving overall communication quality.
Summary
Summary
Fernando Garcia Valenzuela, Head of Cloud Storage Engineering at Atlassian, faced challenges in maintaining effective communication across his 70+ person team spread over three time zones. To address this, he developed a personal AI feedback system, modeled after a Formula 1 pit wall, which audits his Slack messages for missed recognition and suggests improvements. This initiative has reshaped his understanding of communication dynamics and enhanced team connection.
Background
Atlassian is a software company known for its collaboration tools, with a large team of over 70 people in the Cloud Storage Engineering division. Before deploying the AI system, Fernando struggled to maintain warmth and empathy in his communications as his team expanded and responsibilities grew. He recognized that asynchronous writing often stripped away the tone and social cues necessary for effective connection.
Challenge
Fernando aimed to solve the problem of ensuring that his communication remained warm and engaging despite the increasing demands of his role and the size of his team. He wanted to avoid the pitfalls of busy leadership, where team members might feel overlooked or unrecognized.
Solution
Fernando built a personal AI system consisting of two agents: Smedley and Brundle. Smedley runs daily, analyzing direct messages to flag missed opportunities for recognition and suggesting warmer rewrites. Brundle operates fortnightly, examining a broader range of communications to identify patterns in tone and warmth. The agents utilize Slack for data, Rovo for AI processing, and Confluence for reporting. Fernando crafted a detailed prompt that defines what effective communication looks like, guiding the AI in its analysis.
Results
The deployment of the AI agents has led to a deeper understanding of communication patterns. Fernando discovered consistent small signals that could impact team morale, such as missed acknowledgments and variations in tone. The AI's feedback has prompted him to pause and reflect before sending messages, enhancing his communication style in real-time. Specific examples from the AI reports highlighted areas for improvement, such as acknowledging planning efforts in responses and tailoring appreciation to individual contributions.
Key Insights
- Leaders often miss subtle communication patterns that affect team dynamics.
- Defining what constitutes effective communication is crucial for leveraging AI tools.
- The act of knowing that messages will be audited can lead to more thoughtful communication practices.
Customer Testimonial
“You don’t need a perfect system. You just need to start looking.” — Fernando Garcia Valenzuela, Head of Cloud Storage Engineering at Atlassian.
Entities Mentioned
Companies
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Technologies
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Key Concepts
Definitions
- AI feedback loop
- A system where AI analyzes communication to provide insights and suggestions for improvement.
- signal taxonomy
- A structured definition of what to look for in communication, how to classify it, and what improvements might look like.
- pit wall
- An AI-driven model inspired by Formula 1, used to provide timely and actionable insights into communication.
- asynchronous writing
- A form of communication that lacks immediate feedback and non-verbal cues, often leading to misinterpretation.
- recognition
- Acknowledgment of an individual's contributions or efforts, which is crucial for team morale and connection.
Use Cases
- →Auditing Slack communication for missed recognition
- →Providing real-time feedback on message tone
- →Suggesting rewrites for improved warmth in communication
- →Analyzing communication patterns across different audiences
- →Evaluating messages before sending for better clarity
- →Identifying small signals that affect team connection
Frequently Asked Questions
What is the purpose of Fernando's AI agents?
Fernando's AI agents are designed to analyze his communication and provide insights on how to improve warmth and recognition in his messages. They help him identify missed opportunities for acknowledgment and suggest rewrites.
How does asynchronous writing impact communication?
Asynchronous writing can strip away tone and social cues, making it harder for recipients to feel seen or understood. This often leads to miscommunication, especially in a remote team setting.
What lessons did Fernando learn from his AI experiment?
Fernando learned that small signals in communication can significantly impact team dynamics. He also realized the importance of defining what 'good' communication looks like to effectively guide his AI agents.
How can leaders benefit from using AI in communication?
Leaders can use AI to gain insights into their communication patterns, helping them recognize missed opportunities for connection and improve their overall leadership style. This can enhance team morale and effectiveness.
What are the key components of an effective AI prompt?
An effective AI prompt should include specific patterns to improve, context for interpreting messages, and a clear output format. This ensures the AI can provide relevant and actionable feedback.