Card 1 of 22 Known: 0 / 22
click to reveal definition
click to flip back
You know 0 of 22 cards in current set.

Ready to get certified?

Get Certified

Need this expertise applied inside your organization?

Explore Our Services

Full Glossary

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.
Get started with ICON, today.
Book a consultation