mappl.io documentation
  • GETTING STARTED
    • Getting started
    • How to install the app
    • Your first spatial table
    • Access templates
  • WORKING WITH VISUAL DATA
    • Categorize items using nested shape hierarchies
    • Categorize items by using row and column labels
    • Categorize items by color
    • Tag items using shapes
    • Use native Miro tags
    • Label sticky note clusters
    • Use connector lines
    • Practical tips
  • RESULTS TABLE OUTPUT
    • Results table overview
    • Make changes to the table
    • Filter
    • Sort
  • EXPORT
    • CSV export
    • Notion
    • Airtable
    • Coda
    • Excel
    • Google Sheets
Powered by GitBook
On this page
  1. WORKING WITH VISUAL DATA

Tag items using shapes

The fastest and most flexible way to visually tag sticky notes

PreviousCategorize items by colorNextUse native Miro tags

Last updated 2 years ago

Use custom shape tags to assign label categories to sticky notes in your spatial tables. This feature enables you to quickly define and apply multiple tags to your data sets by simply copying and pasting shapes on top of sticky notes, providing a simple and fast way to visually organize and categorize your data.

Shape tagging is especially useful when you need to keep track of and assign multiple tags simultaneously. You can use this feature to assign tasks to people or associate tasks with additional labels.

In the spatial table example below, shape tags are used to indicate the level of user enthusiasm during a quotable moment in a user interview.

Results table view

The shape tags for each item in the results table based on the spatial table above appears in the Shape Tags column. Such a column will only be visible by default if the associated spatial table contains a Shape tags label category.

Shape tags can be used alongside other categorization methods supported by the app. The table below, for example also shows a two level vertical category hierarchy.

When you apply multiple shape tags to a single sticky note in a spatial table, each tag is resolved to a separate row in the results table. This feature makes filtering and querying data easier.

Find out more:

Practical tips:

Working with shape tags