If consultants

Q: What does the If node do in n8n?

The If node evaluates a condition on each incoming data item and routes it to one of two output branches: true (condition met) or false (condition not met). It's how you add "if this, then that" logic to an n8n workflow. For example, if order value is greater than $500, route to the approval branch; otherwise, route to the auto-processing branch.

Q: What types of conditions can the If node evaluate?

The If node supports string comparisons (equals, contains, starts with, ends with, regex match, is empty), number comparisons (equals, greater than, less than, greater than or equal, less than or equal), and boolean checks (is true, is false). You can combine multiple conditions using AND (all must be true) or OR (any must be true) logic.

Q: How is the If node different from the Switch node?

The If node offers two outputs: true and false. It's for binary decisions. The Switch node offers multiple outputs (up to four or more) for routing based on different values of the same field. Use If for yes/no decisions. Use Switch when you need to route to three or more different paths based on distinct values, like routing by department name or status category.

Q: Can the If node handle multiple conditions at once?

Yes. You can add multiple conditions to a single If node and connect them with AND or OR logic. AND means all conditions must be true for the item to go to the true branch. OR means any one condition being true is enough. For more complex logic (nested conditions), you can chain multiple If nodes in sequence.

Q: What happens when the If node processes a batch of items?

The If node evaluates each item in the batch independently. Some items might match the condition and go to the true branch, while others don't match and go to the false branch. Both branches can process their items simultaneously. This means a batch of 100 records could split into, say, 30 going down one path and 70 going down the other.

We can help you automate your business with If and hundreds of other systems to improve efficiency and productivity. Get in touch if you’d like to discuss implementing If.

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About If

The If node is n8n’s conditional branching tool. It evaluates a condition against incoming data and splits the workflow into two paths: one for items that match the condition (true) and one for items that don’t (false). This is how you add decision-making logic to an automation workflow.

Without the If node, every item in a workflow would follow the same path. Most real-world automations need different handling based on the data. A lead scoring workflow might route high-value leads to a sales rep and low-value leads to an email nurture sequence. An invoice processing workflow might send invoices above a certain amount for manual approval while auto-approving smaller ones. A support ticket workflow might escalate urgent issues to a manager while sending routine requests to the standard queue.

The If node supports string, number, and boolean comparisons: equals, not equals, greater than, less than, contains, starts with, ends with, is empty, and regex matching. You can combine multiple conditions with AND/OR logic. It processes each item individually, so in a batch of records, some might go down the true branch and others down the false branch.

At Osher, the If node is part of nearly every workflow we build. Our talent marketplace application processing project used If nodes to route candidates based on qualification criteria. We use it across all our business automation and RPA projects wherever data-driven decisions need to happen without human intervention.

If your workflows need conditional logic, talk to our n8n team about structuring your automations for reliable decision-making.

If FAQs

Frequently Asked Questions

Common questions about how If consultants can help with integration and implementation

What does the If node do in n8n?

What types of conditions can the If node evaluate?

How is the If node different from the Switch node?

Can the If node handle multiple conditions at once?

What happens when the If node processes a batch of items?

What are common mistakes when using the If node?

Common issues include comparing values of different types (a string ‘100’ won’t match a number 100 without conversion), forgetting that empty or null values need explicit handling, and building deeply nested If chains when a Switch node would be cleaner. Another mistake is not handling the false branch at all, which means items that don’t match the condition are silently dropped from the workflow.

How it works

We work hand-in-hand with you to implement If

As If consultants we work with you hand in hand build more efficient and effective operations. Here’s how we will work with you to automate your business and integrate If with integrate and automate 800+ tools.

Step 1

Process Audit

We review your current business process to identify every decision point where data determines the next action. For If node planning, this means documenting each conditional rule: what data is being evaluated, what the threshold or match criteria is, and what should happen for both the matching and non-matching cases.

Step 2

Identify Automation Opportunities

We determine which decision points can be fully automated with conditional logic versus which ones still need human review. Tasks with clear, rule-based criteria (amount thresholds, status values, category matches) are ideal for If node automation. Ambiguous decisions that require context or judgement may need AI-assisted processing instead.

Step 3

Design Workflows

We design the branching structure of the workflow, specifying each If node’s conditions, the data fields being evaluated, and the processing that happens on each branch. For workflows with multiple decision points, we map the full decision tree to ensure every possible outcome is handled and no data items are dropped unintentionally.

Step 4

Implementation

We configure each If node in n8n with the correct field references, comparison operators, and threshold values. Both the true and false output branches are connected to their respective downstream nodes. We test each condition with sample data that should trigger both branches to confirm the routing logic works correctly.

Step 5

Quality Assurance Review

We test the workflow with data sets designed to exercise every branch path, including edge cases like null values, empty strings, boundary values (exactly at the threshold), and unexpected data types. We verify that items route correctly and that both branches produce the expected output in downstream systems.

Step 6

Support and Maintenance

After deployment, we monitor the workflow to check that the branching ratios match expectations. If a condition is routing 99% of items to one branch, it may indicate the threshold needs adjustment or the incoming data has changed. We update conditions as business rules evolve, such as changing approval thresholds or adding new routing criteria.

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