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Foundations
- AI for Scrum Masters
- Using generative AI to accelerate routine work and enrich facilitation and coaching, while the Scrum Master stays accountable.
- Generative AI
- AI that creates content such as text and ideas by learning patterns from large datasets.
- Augmenting Facilitation
- AI helps prepare and vary facilitation, freeing the Scrum Master to focus on people and dynamics.
- Human Accountability
- The Scrum Master remains responsible for coaching quality, ethics, and outcomes; AI augments, not replaces.
Prompting
- Prompt Engineering
- Designing clear, effective instructions so AI produces useful, relevant output.
- Clear and Specific Prompts
- Stating exactly what you want in detail to reduce ambiguity and improve results.
- Providing Context
- Giving team and situation context so AI tailors its help appropriately.
- Assigning a Role
- Telling AI to act as a facilitator or coach to shape tone and focus.
- Iteration
- Refining prompts based on output until the result meets the need.
Facilitation
- Retrospective Ideas
- Using AI to generate varied retrospective formats and prompts to keep them fresh.
- Event Agendas
- Using AI to draft agendas for planning, reviews, and other events.
- Icebreakers and Activities
- Generating engaging activities suited to the team and purpose.
- Summarizing Discussions
- Using AI to summarize notes and outcomes so nothing is lost.
Coaching
- Coaching Support
- Using AI to explore coaching approaches and powerful questions for a situation.
- Anti-Pattern Analysis
- Using AI to help think through team dysfunctions and possible responses.
- Preparing Conversations
- Using AI to rehearse and structure difficult conversations.
Data
- Analyzing Team Data
- Using AI to synthesize metrics and feedback into insights for improvement.
- Identifying Trends
- Using AI to spot patterns in flow, quality, or engagement data.
Responsible AI
- Verifying Output
- Checking AI results for accuracy and appropriateness before using them.
- Protecting Data
- Avoiding entering sensitive team or personal data into AI tools that could expose it.
- Bias Awareness
- Recognizing that AI output can reflect bias and reviewing accordingly.
Applying It
- Personal AI Toolkit
- Building a set of effective prompts and habits to elevate facilitation and coaching over time.