Understanding Columns

Proma’s innovative approach to columns sets it apart from traditional data management tools. By offering both Data Columns and App Columns, Proma combines simple data storage with powerful built-in behaviors.

Data Columns

Traditional data storage columns for text, numbers, dates, and more. Perfect for storing and managing basic information.

App Columns

Advanced columns that combine data storage with built-in behaviors, making process implementation more intuitive and efficient.

Common Column Properties

All columns in Proma share some basic properties:

Basic Properties

• Column Name: A unique identifier for the column
• Required: Toggle whether the field is mandatory
• Set using Logic: Configure automatic value setting based on defined rules
  • At row creation
  • On click
  • On focus
  • Always
  • Never

Tip

When creating a new column, start by considering whether you need simple data storage (Data Column) or additional behavior (App Column).

Choose Your Column Type

Data Columns Explore basic data storage columns like Text, Number, Email, Date, and more.

App Columns Discover powerful behavioral columns like Approval, Cart, Time Tracker, and more.

Column Selection Guide

When to use Data Columns

Choose Data Columns when you need:

• Simple data storage and display
• Basic data validation
• Standard data types (text, numbers, dates)
• Lookup relationships between boards

When to use App Columns

Choose App Columns when you need:

• Built-in behaviors and actions
• Process-specific functionality
• User interaction capabilities
• Advanced features like approval flows or time tracking

Best Practices

Column Usage Tips

1. Plan Your Structure

   • Choose appropriate column types for your data
   • Consider future needs and scalability
   • Use validation where appropriate

2. Maintain Consistency

   • Use consistent naming conventions
   • Apply similar patterns across boards
   • Document your column choices

3. Optimize Performance

   • Only add columns you need
   • Use appropriate column types
   • Consider data volume impact

Next Steps

Explore Data Columns Deep dive into all available data column types

Discover App Columns Learn about columns with built-in behaviors