Miro AI for beginners: turn workshop ideas into three priorities

Twelve scattered workshop notes have become a reviewed theme map. The team moved two notes, kept one dissenting view visible, and chose three priorities. Miro AI handled the first sort. The people in the room made the decision.

This guide is for anyone leading a workshop, retrospective, or customer process review who needs to organize ideas without hiding what falls outside the majority view. In 10–20 minutes, you will move from participant-written notes to three priorities with a clear evidence trail.

What you will do in Miro

You will:

• create or open one Miro board;
• add 8–12 short Sticky notes;
• cluster only those notes by keyword;
• move misplaced notes and rename the themes;
• preserve a real outlier if one exists;
• vote for three priorities;
• save a prioritization receipt.

A prioritization receipt is a compact area on the board that records the question, reviewed themes, voting rule, vote counts, and what the group has not decided yet. It makes the choice understandable later without turning this guide into a project plan.

Start with a blank board

Go to the Miro dashboard. Sign in and choose + Create new → Board. A new account may already include My First Board. You can also enter miro.new in your browser and sign in when prompted.

Use a desktop browser for this walkthrough. Miro supports Sticky notes on mobile and tablet, but those apps have more limited functionality. Miro lists Miro AI for Free, Starter, Business, Enterprise, and Education plans. AI actions consume credits, and guests or visitors cannot run Miro AI.

Source: Create a Miro board.

Source: Miro AI overview.

Before you begin, write one question at the top of the board. Run the first test on a clean demo board or an ordinary internal process. Check your team's AI, admin, and data settings before using customer details, student information, HR material, or confidential workshop content.

Step 1: collect 8–12 participant-written notes

The example uses this question:

What should we change to make the next customer onboarding clearer?

Ask six participants for short observations or ideas. Keep one thought per note. "Clarify the welcome email" is easy to sort. A note that mixes the welcome email, sales training, and CRM automation belongs on three separate notes.

Choose Sticky note from the toolbar or press N to add notes one at a time. If the ideas already exist as a list, choose Tools, Media and Integrations → Bulk mode, put one idea on each line, and select Done.

AI should not invent the participant input in this workflow. The notes are the evidence of what people actually raised in the room.

Source: Sticky notes.

Step 2: let Miro AI propose keyword clusters

Select exactly the 8–12 notes that belong to the question. Then choose Miro AI → Cluster → By keywords. Some versions of the interface show the other documented route, Cluster objects → Keywords.

Keyword clustering is an AI-assisted first grouping of related Sticky notes. The result is a draft theme map, not a validated analysis.

Do not use sentiment clustering for this exercise. Positive, neutral, and negative answer a different question from which themes keep recurring. Notes that do not resemble the others may appear under #uncategorized, which is often a useful place to look for outliers.

Source: Miro AI with Sticky notes.

Source: Clustering.

Step 3: correct the theme map before voting

Open every cluster and read the notes. In the example, the group moves two misplaced notes and replaces AI labels such as "Information" with clearer themes such as "Welcome material" and "Status during onboarding".

Check four things:

• Move notes that support another theme.
• Rename vague clusters in the group's own words.
• Keep a real outlier visible. If there is no clear outlier, record that instead of manufacturing one.
• Confirm that every theme still points back to the original notes.

This is where the group's judgment matters. Miro can organize text by pattern, but it does not know which handoff is confusing in your onboarding process or why one minority view may deserve attention.

Step 4: vote on clear theme notes

Create one representative Sticky note for each reviewed theme. Emoji reactions then sit on objects that Miro explicitly supports for this simple voting method.

Set the rule before anyone votes. In this six-person example, each participant gets two votes and may place no more than one agreed emoji on each theme note. Count the reactions and mark the three themes with the most votes.

This is a team convention, not an enforced voting system. Emoji voting does not provide the same anonymity or history as Miro's formal Voting tool. If two themes receive the same score, discuss the criterion that should break the tie, such as the amount of clear evidence in the original notes, and record the criterion in the receipt.

Teams on Starter, Business, Enterprise, or Education can use Voting instead. A team member with board editing rights sets the voting area, votes per person, and duration. Miro shows the top three results when the session ends.

Source: Voting.

Step 5: save the prioritization receipt

Add one compact area beside the theme map. Record:

• workshop question and date;
• participants or roles;
• reviewed theme names;
• voting method and votes per person;
• vote counts for the three selected themes;
• any tie-break rule used;
• the preserved outlier, or that no clear outlier was observed;
• Not decided yet: owner, timeline, implementation.

The group now has three priorities and visible evidence for why it selected them. It has not automatically approved three projects. That can happen later, when the team is ready to decide ownership, deadlines, and follow-up.

Reusable review check

Miro workshop: review check

[ ] One clear workshop question
[ ] 8–12 participant-written notes
[ ] One idea or observation per note
[ ] Only relevant notes selected before AI clustering
[ ] Every cluster reviewed and renamed in our own words
[ ] Misplaced notes moved
[ ] A real outlier preserved, or "none observed" recorded
[ ] Voting and tie-break rules set before voting
[ ] Three priorities chosen by the group
[ ] Receipt saved with vote counts and what remains undecided

Four mistakes that weaken the result

• Selecting the whole board, including old or unrelated objects.
• Accepting cluster names without reading the notes underneath.
• Removing outliers simply because they did not win the vote.
• Treating three popular themes as approved projects with owners and deadlines.

Run the same routine again when the question changes or new evidence appears. If recurring workshops keep stalling between ideas and decisions, Hammer Automation can help your team design a board, voting rule, and review step that people will actually use.