There's now an easy way to identify similar sticky notes and visualize themes on your boards. Clustering helps to quickly make sense of a team’s input and surface the best ideas. Beyond meetings, Clustering can help organize all kinds of information.
Clustering is based on an algorithm that estimates the similarity between stickies. Only the text is evaluated. If the stickies contain similar words, synonyms or themes, they will generally have a high similarity score. So for example, if you had “elephant”, “orange”, “giraffe”, and “laptop” on stickies, elephant and giraffe would be clustered because they have high similarity.
Available for: Education plan; some users on Team, Consultant, Business, Enterprise plans
To start the clustering journey, click the expander arrows icon on the collaboration toolbar in the top-right corner. Then click the Clustering app icon.
Selecting the Clustering app
Select all the sticky notes you would like to cluster. This will define which sticky notes to consider within the recommended suggestions. Then, select a sticky note to which you would like to find sticky notes suggestions that are similar to this original sticky note. Once the search area is selected, Miro will analyze the sticky notes and will find similar ones based on the text they contain. Sticky notes that are similar will be highlighted, sticky notes that are not should be dimmed/faded.
Clustering sticky notes in Miro
Users on Education plan can additionally configure the search settings and adjust the algorithm by selecting one of the options at the bottom of the panel: Conservative, Default, Relax.
Search settings
You will be given the option to gather similar stickies. Hold down Shift and unselect unnecessary stickies before gathering.
Selecting the clustered stickies
Feel free to move the group of stickies to separate the cluster.
Select another sticky note to identify a second group. You can do that as many times as necessary.
Changing a sticky note to search for another cluster
To change the search area, click on the pen icon next to Cluster area.
Stop clustering by clicking the cross icon in the top-right corner of the panel.
Finish clustering