About the Cluster Analysis Template
Collaborative work can be challenging, especially when dealing with a large volume of data or uncertainty. In such situations, affinity clustering can be a valuable tool to help you overcome these obstacles. This approach involves grouping items into coherent categories based on their similarities, which can help you make sense of complex information and establish structure amidst chaos.
Whether you're analyzing customer feedback or brainstorming creative concepts, affinity clustering can help you identify patterns and relationships that might not be immediately apparent. By grouping related items together, you can better understand the data and make more informed decisions.
Benefits of using the Cluster Analysis Template
Promote problem-solving and analysis.
Unveil recurring themes.
Encourage effective dialogue.
Foster mutual comprehension.
How to use the template
Collect all your data and place it on the board.
Choose an object, provide a description, and position it on the right side.
Encourage others to cluster similar items around the initial description.
Continue this process until all of the items have been discussed.
Organize elements to create coherent clusters. Consider using Miro AI.
Identify the groups that form and decide on appropriate labels for them.
Provide a concise description of the meaning of each cluster.
Setup
Collect a dataset (research results, concepts, etc.) and place each item on an individual sticky note.
Create a group of partners and designate a leader.
Useful tips
Examine each element individually.
Search for possibilities to form sub-categories.
Provide a descriptive sentence for each group, in addition to the names.
