Overview
Dropdown columns are designed to standardize the data entered into your Labsheets. Instead of allowing free-form text, they restrict input to a predefined set of options. This helps:
Maintain consistency across records
Reduce input errors and typos
Make filtering, sorting, and reporting more reliable
Improve visual clarity for teams reviewing the data
Labsheets currently supports three types of dropdown columns:
List columns
Multiselect columns
Status columns
List Column Type
List columns allow users to select from a customizable set of text-based options.
Key Features
Users can define their own list of options
Each option is displayed as plain text
Multiple options can be added, edited, or removed at any time
Simple and flexible for general categorization
When to Use List Columns
List columns are best suited for situations where you need structured input but don’t require visual emphasis. Common use cases include:
Categories (e.g., Marketing, Sales, Engineering)
Tags or labels
Priority levels (if color-coding is not needed)
Locations or departments
Example
A “Department” column might include options like:
HR
Finance
Operations
IT
Multiselect Column Type
Multiselect columns allow users to select multiple options from a predefined list. Unlike List columns, which allow only one selection, Multiselect columns are useful when a record can belong to more than one category, tag, or group.
Key Features
Users can select multiple options from a customizable list
Each option is displayed as text
Multiple selections can be added or removed independently
Ideal for records that can have more than one value
Provides a structured alternative to entering multiple values as free-form text
When to Use Multiselect Columns
Multiselect columns are best suited for situations where a record can have multiple applicable values. Common use cases include:
Tags (e.g., Urgent, Customer-Facing, Internal)
Skills or technologies (e.g., Python, SQL, React)
Applicable departments or teams
Product features or attributes
Project categories
Example
A “Skills” column might allow users to select multiple options such as:
Python
SQL
JavaScript
Data Analysis
A single record could then have Python, SQL, and Data Analysis selected at the same time.
Status Column Type
Status columns build on the concept of list columns by adding color-coded labels, making it easier to quickly interpret the state of an item.
Key Features
Each option includes both a label and a color
Visual indicators help users scan and understand data quickly
Ideal for tracking progress or states
Fully customizable statuses
When to Use Status Columns
Status columns are best used when the information represents a state, stage, or progress indicator. For example:
Task progress (e.g., Not Started, In Progress, Completed)
Approval stages (e.g., Pending, Approved, Rejected)
Issue tracking (e.g., Open, Blocked, Resolved)
Example
A “Task Status” column might include:
🟡 Not Started
🔵 In Progress
🟢 Completed
🔴 Blocked
The colors make it easy to identify the status at a glance without reading each label.
Key Differences Between List and Status Columns
Feature | List Column | Multiselect Column | Status Column |
Input Type | Text | Multiple text values | Text + Color |
Multiple selections | No | Yes | No |
Visual Emphasis | Low | Low | High |
Best For | Categorizing | Tags, attributes, or multiple categories | Progress or Task Tracking |
Customization | Options only | Options Only | Options + Colors |
Best Practices
To get the most out of dropdown columns:
Keep options concise: Short, clear labels improve usability
Avoid too many choices: Limit options to what’s necessary
Use Multiselect when multiple values apply: Choose it when a record can belong to more than one category, tag, or group
Use Status for visibility: Choose status columns when quick scanning matters
Standardize across sheets: Reuse similar dropdown structures for consistency
Review periodically: Update options as workflows evolve
Summary
Dropdown columns in Labsheets help enforce structured data entry and improve clarity across your workspace.
Use List columns for simple, text-based categorization
Use Multiselect columns when multiple values can apply to the same record
Use Status columns when you want visual, color-coded indicators for tracking progress or states
Choosing the right type ensures your data remains both organized and easy to interpret.