Smartsheet Smart Columns and Dynamic Dropdowns: Complete 2026 Feature Guide

What Are Smartsheet Smart Columns?

Smart Columns are a category of AI-powered column types in Smartsheet that process data from one or more source columns and produce a structured output — a classification, a label, a translation, or a summary — without requiring the user to write formulas, configure scripts, or call an external AI API. The AI processing happens inside Smartsheet’s infrastructure and updates whenever the source data changes.

The significance of this feature is easiest to understand by contrast. Before Smart Columns, classifying a column of free-text customer feedback into categories like “Billing Issue,” “Feature Request,” or “Bug Report” required either a complex IF/CONTAINS formula chain, a Python script running on a scheduled trigger, or manual human review. Smart Columns compress that workflow into a three-click column configuration. The output updates automatically as new rows are added.

Smart Columns launched as part of Smartsheet’s broader AI roadmap, and the 2026 iteration includes tighter integration with Smart Flows (Smartsheet’s workflow automation engine), Dynamic Dropdowns, and the new Smart Hub governance layer for Enterprise customers. The result is a platform where data classification, conditional routing, and downstream automation can all be configured by a business analyst without touching a formula or a code editor.

The business value is concentrated in three use cases: operations teams processing high volumes of incoming requests (support tickets, intake forms, procurement requests), project management offices that need consistent status classification across hundreds of projects, and data teams that need to normalize inconsistent free-text inputs from external sources before feeding them into dashboards or reports.

The Five Smart Column Types Explained

Smartsheet offers five distinct Smart Column types in the 2026 release. Each has a specific use case and a different configuration interface.

Assess: The Assess Smart Column evaluates free-text or numeric data against a set of criteria and outputs a structured assessment. Example: evaluating a project description against risk criteria and outputting “Low Risk,” “Medium Risk,” or “High Risk.” The user defines the assessment criteria in natural language during column setup.

Categorize: The Categorize Smart Column reads a text cell and assigns it to one of a set of predefined categories. This is the most commonly used Smart Column type. Example: reading a support ticket description and outputting “Technical Issue,” “Account Issue,” or “Billing Issue.” Categories are defined by the user during setup and can be updated at any time.

Label: Similar to Categorize but supports multi-label output — a single cell can receive multiple labels simultaneously. Example: a product feature request description might receive labels “Mobile,” “UI,” and “High Priority” from a single AI pass. Label Smart Columns output to a multi-select column type.

Translate: The Translate Smart Column automatically translates the content of a source column into a target language. This is particularly useful for global operations teams receiving submissions in multiple languages. Example: translating customer feedback submitted in Spanish, French, or German into English for a unified review workflow. Smartsheet supports over 50 languages in the Translate Smart Column.

Summarize: The Summarize Smart Column reads a long-form text cell — a project description, a customer email, a meeting note — and outputs a concise summary. Users configure the desired output length (one sentence, three sentences, one paragraph) during setup. This is most valuable when Smartsheet is used as an intake form destination where submitters enter long free-text responses.

How to Set Up a Smart Column

The following steps work for any Smart Column type. The example below creates a Categorize Smart Column for a support ticket intake sheet.

1. Open your sheet in Smartsheet — Navigate to the sheet where you want to add the Smart Column. Ensure you have at least one column with existing text data to test the AI output against.
2. Click the “+” button to add a new column at the position where you want the AI output to appear.
3. Select “Smart Column” from the column type dropdown — This option is visible only on Business plan and above. Free and Pro users will not see this option.
4. Choose the Smart Column type — Select from Assess, Categorize, Label, Translate, or Summarize.
5. Configure the source column — In the setup panel, click the Source column field and select the column whose data the AI should read. For a Categorize column, this is typically a free-text description column.
6. Define your categories (for Categorize or Label types) — In the Categories field, type each category name. Press Enter after each one. Be specific: “Technical Bug” is better than “Bug” because the AI has more context to match against.
7. Write a context prompt (optional but recommended) — The context field lets you tell the AI what kind of data it’s looking at. Example: “These are customer support tickets submitted via web form. Categorize based on the primary issue type.” This significantly improves classification accuracy.
8. Click “Apply” and review the output — Smartsheet runs the AI against all existing rows and populates the new column. Review the first 10–20 outputs and adjust your category definitions if the accuracy is below expectation.
9. Enable auto-processing for new rows — Toggle Auto-process new rows on in the column settings. Without this, the Smart Column only processes existing rows and requires manual triggers for new data.

Dynamic Dropdowns: Auto-Populating from Column Data

Dynamic Dropdowns solve a specific and common pain point: maintaining dropdown option lists that need to reflect the current state of another column. Without Dynamic Dropdowns, you update dropdown options manually each time a new value appears in a reference column — a maintenance burden that grows with data volume and leads to out-of-sync option lists.

A Dynamic Dropdown column pulls its available options from a designated source column and refreshes in real time. When new values appear in the source column, they become available in the dropdown immediately — no manual update required.

1. Add a new column — Click “+” to add a column at your desired position.
2. Select “Dropdown (Single Select)” or “Dropdown (Multi-Select)” as the column type.
3. In the dropdown settings panel, toggle “Dynamic source” on — This replaces the manual option list with a source column selector.
4. Select the source column — Choose the column whose unique values should populate the dropdown options. On Business plan, this must be a column within the same sheet. On Enterprise plan, you can reference columns from other sheets in your account.
5. Set deduplication — Smartsheet automatically deduplicates the source values so each unique entry appears only once in the dropdown list. Verify this is enabled in the settings.
6. Save the column — The dropdown is now live. Add a new unique value to the source column and verify it appears in the dropdown within a few seconds.

The most powerful application of Dynamic Dropdowns is pairing them with Smart Columns. If a Categorize Smart Column outputs category values, a Dynamic Dropdown in a subsequent column can pull those categories as filter or routing options — creating a self-updating classification and routing system that requires no manual list management.

Building the Full Automation Chain: Smart Columns → Dropdowns → Smart Flows

The three-component automation chain is Smartsheet’s answer to no-code data pipelines. Here is how the components connect and why the chain matters.

Stage 1 — Smart Column processes raw input: A new row is added to your sheet (via form submission, API call, or manual entry). The Categorize Smart Column reads the free-text description field and assigns a category: “Billing Issue.”

Stage 2 — Dynamic Dropdown reflects the category: A Dynamic Dropdown in the “Routing” column automatically includes “Billing Issue” as an available selection because the Smart Column’s output column is its source. No manual list update required.

Stage 3 — Smart Flow triggers on the category: A Smart Flow (Smartsheet’s automation rules engine) monitors the category column. When a row is categorized as “Billing Issue,” the Flow fires: it assigns the row to the Billing team, sends a Slack notification, and sets a due date 24 hours from creation.

The end result: a new support ticket is submitted, automatically categorized, routed to the correct team, and a notification is sent — all without any human touching the sheet. The entire pipeline is configured in Smartsheet’s UI without formulas or code.

1. Build the Smart Column first — Get your AI classification running accurately before connecting downstream automation. Running automation on inaccurate classifications wastes cycles and creates noise.
2. Create the Dynamic Dropdown sourced from the Smart Column output — This creates the bridge between AI output and user-selectable routing options.
3. Build the Smart Flow trigger — Navigate to Automation → Manage Workflows → Create Workflow. Set the trigger to “When a row is added or changed” and add a condition: “Category column contains [value].”
4. Test with a live row — Add a test row with free-text input that should trigger a specific classification. Verify the Smart Column classifies correctly, the Dynamic Dropdown reflects the value, and the Smart Flow fires.

Smart Hub: Enterprise Governance for AI Columns

Smart Hub is a 2026 addition available exclusively on the Enterprise plan. It provides administrators with centralized visibility and control over all AI column usage across the organization’s Smartsheet environment.

The governance problem Smart Hub solves is real at enterprise scale: when hundreds of sheet owners can each create Smart Columns independently, administrators lose visibility into how much AI processing is being consumed, what data is being fed into AI models, and whether classifications meet compliance standards. Smart Hub surfaces this information in a central admin dashboard.

Smart Hub capabilities include:

• Usage monitoring: View AI column processing volume by sheet, team, and time period. Identify high-consumption sheets for cost management.
• Output auditing: Review AI classification outputs across sheets without opening each one individually. Useful for compliance review of sensitive data classification.
• Column templates: Admins can create pre-approved Smart Column configurations — category sets, context prompts, source column mappings — that sheet owners can apply without custom configuration. This ensures consistency across teams using similar classification workflows.
• Usage limits: Set per-workspace or per-sheet processing limits to prevent runaway AI consumption from high-volume intake sheets.
• Access controls: Restrict Smart Column creation to specific user roles (e.g., system admins only) or enable it for all Business plan users within the Enterprise account.

For Enterprise organizations using Smartsheet across multiple business units with different data sensitivity levels, Smart Hub is not optional — it is the governance layer that makes broad AI column adoption safe and auditable.

Project Manager Agent and Smart Column Integration

Smartsheet’s Project Manager Agent, introduced in 2026, reads Smart Column data as part of its risk assessment and proactive flagging workflow. This integration is the most consequential use of Smart Columns for PMO teams.

The Project Manager Agent monitors project sheets and surfaces risk flags in the project owner’s notification feed. When it detects patterns suggesting project risk — overdue tasks, resource conflicts, stalled status fields — it generates a risk summary with recommended actions. Smart Columns feed this assessment in a specific way: the Agent reads Assess-type Smart Columns (the risk assessment column type) to determine project health without requiring the project manager to manually update a status field.

In practice, this means you can configure an Assess Smart Column on your project sheet that evaluates each task’s description, due date proximity, and assignee workload, then outputs “On Track,” “At Risk,” or “Critical.” The Project Manager Agent reads these assessments across all your project sheets and surfaces a portfolio-level risk view without requiring manual status reporting from individual project managers.

To enable this integration, navigate to Project Settings → AI Agents → toggle on Project Manager Agent. In the Agent configuration, select the Smart Column(s) you want it to monitor as risk indicators. The Agent will begin including Smart Column data in its risk assessment cycle within 24 hours.

Feature Availability by Plan

Best Practices and Common Mistakes

Write specific category names, not generic ones. “Customer Complaint” is better than “Complaint.” “API Integration Error” is better than “Technical Issue.” The more specific your category labels, the more accurately the AI can match free-text input to the correct bucket. Vague categories lead to high rates of misclassification that erode trust in the automation.

Always provide a context prompt. The context prompt field in Smart Column setup is optional but consistently improves accuracy by 15–25% based on Smartsheet’s published benchmarks. Tell the AI what type of data it is looking at and what classification framework to apply.

Test with your worst-case data, not your best-case data. Before enabling auto-processing for new rows, test the Smart Column against your messiest historical data — the ambiguous descriptions, the typo-filled submissions, the entries that a human would find hard to classify. If the AI handles these reasonably well, it will handle clean data correctly by default.

Do not over-classify. Five to eight categories is the practical ceiling for most Categorize Smart Column use cases. Beyond eight categories, the AI’s ability to distinguish between similar categories degrades, and the operational value of fine-grained classification often does not justify the accuracy loss.

Audit Smart Column outputs monthly. AI classification accuracy can drift if the nature of incoming data shifts over time. Schedule a monthly review of a sample of Smart Column outputs against source text to catch systematic misclassification before it propagates into downstream Smart Flows and reports.

FAQ