Select the search type
  • Site
  • Web
Search

Path Steps

Follow these steps in order. Each one links to an EasyDNNnews article/video and gives you a quick, practical takeaway.

You’ll learn how to frame AI as a teammate that supports Scrum events and backlog work without replacing judgment or collaboration.
Do this exercise: Write a 3-sentence “AI usage policy” for your team (what you will use AI for, what you won’t, and what must be reviewed by a human).
You’ll learn repeatable prompt patterns to generate stories with clearer intent, constraints, and acceptance criteria.
Do this exercise: Take one messy request and prompt AI to produce (a) a user story, (b) 5 acceptance criteria, and (c) 3 key questions for the PO.
You’ll learn how to generate “plan options” (not commitments) and improve shared understanding of scope and dependencies.
Do this exercise: Ask AI for 2 sprint goal options based on your top backlog items, then pick one as a team and adjust wording together.
You’ll learn facilitation prompts that help teams extract insights, turn feedback into actions, and avoid “retro theatre.”
Do this exercise: Feed AI 5 bullet facts from the sprint and ask for (a) patterns, (b) 3 improvement experiments, and (c) 1 metric per experiment.
You’ll learn how to convert your best prompts and practices into a lightweight working agreement the team can actually follow.
Do this exercise: Create a “Prompt Library” page with 5 prompts: refinement, story writing, planning, review, retro—each with input/output examples.
 

Learning Path - Free

24 Feb 2026

Step 1: What AI Can (and Can’t) Do for Scrum Teams

AI is a productivity amplifier—not a Product Owner, not a Scrum Master, and not a Developer.

Used correctly, it accelerates learning, drafting, summarizing, and exploring options. Used poorly, it replaces thinking with automation theater.

This step helps your team position AI as a supporting teammate, not a decision-maker.

Author: Rod Claar
0 Comments
Article rating: No rating

24 Feb 2026

Step 2: Prompts That Produce Better User Stories

AI can help—but only if the prompt is structured.

This step introduces repeatable prompt patterns that improve:

  • Intent clarity

  • Constraints visibility

  • Acceptance criteria quality

  • PO alignment

Author: Rod Claar
0 Comments
Article rating: No rating

24 Feb 2026

Step 3: Backlog Refinement with AI (Without Losing the “Why”)

The Core Risk

When teams use AI in refinement, a common failure mode appears:

  • Stories get cleaner

  • Acceptance criteria get longer

  • Technical detail increases

  • Business intent becomes less visible

Scrum optimizes for value delivery, not documentation density.

AI must support the “why” behind the work.

Author: Rod Claar
0 Comments
Article rating: No rating

24 Feb 2026

Step 4: Sprint Planning Acceleration

The Key Principle

AI should propose:

  • Possible Sprint Goals

  • Possible scope groupings

  • Possible dependency flags

The team still decides:

  • What to commit to

  • What fits capacity

  • What aligns to product strategy

AI drafts.
The team commits.

Author: Rod Claar
0 Comments
Article rating: No rating
RSS

Learning Path - Member

 
 
✓ Featured Content

AI for Scrum and Agile Teams
Videos

A curated playlist of specific YouTube content.

Search Results

24 Feb 2026

Step 4: Daily Scrum Prompts That Unblock Faster

Author: Rod Claar  /  Categories: AI for Scrum Masters Learning Path Members  /  Rate this article:
No rating

The Core Principle

Shift the Daily from:

“What did you do?”

To:

“What threatens the Sprint Goal, and what will we do about it today?”

AI reinforces this shift through structured prompts.


Lightweight Daily Structure (15 Minutes)

1. Re-anchor to the Sprint Goal (1 minute)

Read the Sprint Goal aloud.

2. Three Focus Questions (10–12 minutes)

Each team member answers:

  1. What progress moved us toward the Sprint Goal?

  2. What risk or blocker could slow us down?

  3. What is the most important next step today?

No reporting upward. Only alignment and risk exposure.

3. Identify Swarming Opportunities (2–3 minutes)

  • Who needs help?

  • Where should we pair?

  • What must be solved today?


AI as a 2-Minute Risk Synthesizer

Immediately after the Daily, paste quick notes into AI.

Do not edit heavily. Speed matters.


DO THIS EXERCISE

Step 1: Paste Raw Notes Into This Prompt


PROMPT TEMPLATE — Daily Risk Synthesizer

You are an experienced Scrum Master focused on delivery risk.

INPUT
Sprint Goal: {insert goal}
Daily Notes: {paste rough notes from team updates}

TASK

  1. Identify the top 3 risks to achieving the Sprint Goal.

  2. Identify the 3 most important next actions for the team.

  3. Highlight any hidden dependencies or coordination gaps.

  4. Keep the output concise and actionable.

Avoid generic advice.


Step 2: Review Output (30 seconds)

You should see something like:

Top 3 Risks

  • API contract mismatch between frontend and backend

  • Testing environment unstable

  • Story 4 blocked pending UX clarification

Top 3 Actions

  • Schedule 20-minute API alignment discussion today

  • Stabilize test environment before new feature work

  • Get UX clarification by 1 PM


Step 3: 60-Second Team Validation

Post the summary immediately and ask:

  • Is this accurate?

  • Is anything missing?

  • Are these the right top three?

Timebox to 60 seconds.

If the team disagrees, adjust.

Ownership remains with the team.


Why This Works

It prevents:

  • Silent blockers

  • Misaligned effort

  • Late discovery of integration issues

  • Sprint Goal drift

It reinforces:

  • Transparency

  • Focus

  • Fast decision loops


Guardrail: Don’t Over-Engineer It

If Daily + AI summary exceeds 17–18 minutes consistently, simplify.

This is a risk scan, not a report.

Print

Number of views (40)      Comments (0)

Tags:

Search

Calendar

«March 2026»
SunMonTueWedThuFriSat
22232425262728
1234567
891011121314
15161718192021
22232425262728
2930311234

Upcoming events

Upcoming AI Training

20 May 2026

Author: Rod Claar
0 Comments
Article rating: No rating

2 Apr 2026

Author: Rod Claar
0 Comments
Article rating: No rating
RSS

Two Ways

Keep Learning — Two Ways

Choose the free track to get new lessons as they’re released, or go deeper with a structured course that puts everything into a repeatable playbook.

Free
Join updates / get new lessons

Get notified when new steps, templates, and examples are added—so you can keep improving your AI skills one sprint at a time.

Join updates
No spam. Practical lessons only. Unsubscribe any time.