Turn a Miro workshop board into a checked summary
The workshop is over. What's left is a hundred and ten sticky notes and a photo of the board that nobody will ever open again. The people who missed it need to know what came up, what was agreed and what's still open.
What you'll make
a short workshop summary, in four sections, where every theme and decision can be traced to a sticky note on the board.
What you'll need
a Miro board you’re allowed to summarise, Miro AI available on your work account (guests and visitors can’t use it, and admin settings can affect access), and some AI credits. About 20 minutes for one frame.
Example result.
Decisions recorded: use one intake form for access requests.
Open proposals: buy an onboarding tool (no decision, owner or date).
Tensions: buddy introductions work well when they happen, and often don't.
Not established: which parts of the two-year-old handbook are wrong.1. Select the notes you want summarised
Start with one frame or one workshop question. A smaller selection is easier to check, and it keeps last month’s abandoned ideas out of this month’s decisions. Don’t rearrange the original board. If you need to regroup notes, work on a copy.
Sticky notes record suggestions, problems and votes. They don’t record who agreed or what was said aloud. Avoid boards about individuals’ health, pay, complaints or employment, and remember that removing a name doesn’t make a distinctive situation anonymous.
Why this works: the summary can only be as good as the selection, and a narrow selection is one you can check line by line.
What you should see: one frame’s notes selected, with nothing from neighbouring frames.
2. Make a quick summary, then a structured one
With the notes selected, open the context menu and choose Miro AI › Document › Summary. Read it alongside the notes, checking only that it covered the right material.
For a structured version, paste the note text into a new Miro AI doc prompt (or any assistant in your work account):
Write a workshop summary using only the note text below.
Use:
1. Themes: concise groups of related points.
2. Decisions recorded: only notes that explicitly record an agreed decision.
3. Open questions and proposals: unresolved questions and ideas not recorded as agreed.
4. Disagreements or tensions: keep differing views rather than averaging them away.
Quote a short supporting note for each decision and important theme. Do not infer owners, deadlines, votes or how many people held a view. If the notes don't establish something, say so.
Note text:
[pasted notes]Why this works: “Decisions recorded” is deliberately narrow, so a suggestion can’t slip in as a decision. Without that, a summary reads like a summary and functions like a fog.
What you should see: four sections, with a quoted note beside each decision and theme.
3. Check coverage, agreement and minority views
For each theme, find its supporting notes. Remove any theme without one, or label it as the facilitator’s interpretation. Then read the decisions: “Could we move handover to Thursday?” is a proposal. “Agreed: trial Thursday handover for two weeks” is a decision with a limited scope, and the summary mustn’t make it permanent.
Check apparent consensus separately. Ten notes don’t mean ten people: one person may have written several. And the summary can’t tell you that the handbook point produced ten minutes of argument. Sticky notes don’t record volume.
Finally, compare against the full selection. Did a lone note disappear? Did anything from outside the selection appear?
Why this works: the dangerous errors aren’t wrong facts but wrong status: a proposal promoted, a disagreement averaged, a minority view dropped.
What you should see: every line traced to a note, and the facilitator’s own recollections, if any, labelled separately.
Check the result
- Every decision quotes a note that says “agreed” or equivalent.
- Proposals and questions stay in their own section.
- Opposing notes on the same topic both appear.
- Nothing claims how many people held a view.
The usual failure: invented consensus. Two notes about one topic become “everyone supports…”, and a proposal acquires a reason the board never gave. Spot it by looking for “everyone”, “the team agreed” or “because”, and finding the note behind each.
Revise the summary so that "[quoted note]" remains a proposal, not a decision. Restore the differing view in "[second note]". Keep both linked to their note wording. Do not add explanations that aren't in the notes.[quoted note] is the proposal that was promoted. [second note] is the view that went missing. Ask the facilitator to confirm decisions before you share, and state which frame the summary covers.
Worked example: two views of the buddy system
Fictional example. These eight notes are the whole selection from an onboarding workshop:
Laptop sometimes arrives on day three or four.
No named owner for the welcome call.
The handbook was last reviewed two years ago.
Could we buy an onboarding tool?
The buddy system works well when it happens.
Buddy introductions often do not happen.
Access requests go to three inboxes.
Agreed: use one intake form for access requests.The first structured summary included: “Everyone supports buying an onboarding tool because the handbook is out of date.”
- The failure. One note asks a question about a tool. Another gives the handbook’s age. The summary invented support, a causal link and a conclusion about the handbook.
- The repair. The repair prompt, with “Could we buy an onboarding tool?” as the proposal and “Buddy introductions often do not happen” as the missing view, gave the summary in the example result. The tool stays an open proposal, and the buddy system keeps both of its notes.
- What it doesn’t say. There’s no “first ninety days weren’t covered”. That topic never appears in the notes, so its absence isn’t a finding. If a frame title named a topic with no notes under it, that would be worth reporting.
Task kit for this job: Download (ZIP) · Reusable instructions
Go deeper
Optional training: cluster notes before writing
For a large selection, choose Miro AI › Cluster, then By keywords for topics or By sentiment when positive and negative reactions are the question. Then inspect the groups. Is there a cluster with one note in it? Is a complaint in the same cluster as its proposed fix? Split it. Rename generic names like “Process” before using them as headings, and don’t read cluster size as a vote count.
Optional training: a frame with dot votes
If the facilitator ran a dot vote, the board now records something about support. The summary may say “the intake form received 7 dots, the onboarding tool 2”. It still can’t say how many people voted unless the board records that, or that the vote was a decision unless a note says so. Add “Report dot counts as written. Don’t convert them into people or decisions.” to the prompt.
Optional training: spend credits on a small test first
Every Miro AI action draws on a monthly credit allowance, and a doc costs more than a single note. Try your prompt on fifteen notes before running it on a hundred and ten, and fix a single sentence by hand instead of regenerating the whole summary. Ask your admin about the allowance and how your organisation handles where AI processing happens.