The clustering tool arranges sticky notes in groups, sorting them by tag, color, author, similarity, or based on selection. This is extremely helpful for users who finished a workshop, research or brainstorming session and need to quickly categorize a bunch of sticky notes.
To start clustering, select a group of stickies on your board by dragging the selection field across them. Click Cluster objects on the context menu and choose one of the options. You can cluster by color, tag, author, similarity or create a cluster with the selected stickies.
Clustering sticky notes in Miro
Cluster by color or tag
If you choose to cluster sticky notes by color or tag, this automatically generates clusters of stickies filtered accordingly. Every cluster has a title.
If you cluster by color, you need to manually add a title to each group of stickies.
Clustering by color
If you cluster by tag, titles are generated automatically. If a sticky note has several tags, it will be replicated in several clusters. If some stickies have no tag, they will be grouped in one cluster under “no tag” title.
Clustering by tag
Cluster by author
If you choose to cluster sticky notes by author, this automatically generates clusters of stickies, with each cluster containing stickies created by a single user. If you cluster by author, the name of each cluster is the name of the respective author who created those sticky notes.
Clustering by author
Create a cluster based on selection
If you pick the option to create a cluster, all the selected stickies will be automatically grouped in one cluster. To pick certain stickies before creating a cluster, hold down Shift and select the sticky notes one by one. Once the cluster is created, you can move it to any place on your board.
Creating a cluster
Cluster by similarity (BETA)
Clustering by similarity is an easy way to identify similar sticky notes and visualize themes on your boards. It 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
As soon as you select a group of stickies and select Cluster by similarity on the context menu, the clustering panel will open for you on the right side of the board.
Select a sticky note to which you would like to find similar sticky note suggestions. 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 by similarity in Miro
You can scroll down on the panel and additionally configure the search settings and adjust the algorithm by selecting one of the options at the bottom of the panel: Conservative, Default, Relax.
Click Gather all to gather the selected sticky notes together. The stickies will be moved to one cluster. Feel free to move the cluster across your board.
Gathering stickies in one cluster
Then you’ll be immediately able to select another sticky note to identify a second cluster. You can do that as many times as necessary.
The option to select another sticky note to find similarities
You can select another group of sticky notes for clustering at any time - click the pen icon and select another set of stickies. Stop clustering by clicking the cross icon in the top-right corner of the panel.
The options to select another set of sticky notes or finish clustering by similarity