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Make.com Grid View: How to Inspect, Filter, and Export Scenario Data

Make.com Grid view is a way to examine the bundles produced during a scenario execution in a table-like interface. It helps you move from a broad view of a run to specific records, fields, and values that need attention.

The most useful way to use Grid view is not simply to browse rows. Use it to answer a specific operational question: which records were processed, where did the data change, which conditions were met, or why did a downstream step receive an unexpected value? That makes the grid a troubleshooting and validation tool, not a substitute for designing a reliable scenario.

To get useful results, run the relevant module, open the execution data, reduce the visible fields, and then filter or inspect the records connected to your question. If the same issue repeatedly requires manual investigation, the underlying scenario may need clearer data rules, ownership, or error handling rather than more ad hoc inspection.

What Make.com Grid view shows

Make.com processes data as bundles. A bundle is a group of values passed from one module to the next during a scenario run. Grid view presents those bundles in rows and exposes selected values as columns, giving you a more compact way to review the output of a module.

The exact controls and labels can change as Make.com updates its interface, but the purpose remains consistent. Grid view lets you inspect execution data, narrow the visible records, compare values, and open a more detailed view of an individual bundle.

  • Rows represent bundles or records returned by the selected module and execution.
  • Columns represent fields or items within those bundles.
  • Filters reduce the displayed records according to values or conditions.
  • Sorting changes the order so dates, statuses, identifiers, or values are easier to compare.
  • Bundle details expose nested objects, arrays, and fields that may not be practical to show in the main table.

Grid view shows what a scenario processed. It does not, by itself, explain whether the process was designed correctly.

How to open Grid view in Make.com

Grid view is generally available from the data produced by a module during a scenario execution. You need an execution with output before there is meaningful data to inspect.

  1. Open the scenario in the Make.com scenario editor.
  2. Run the scenario, or run the relevant module where that option is available.
  3. Locate the execution indicator or output bubble associated with the module.
  4. Open the execution details and choose the grid or table-style view for the available output.
  5. Select the module and run that contain the data you want to investigate.

If the grid is empty, first confirm that the module actually produced bundles. A search module may return no records, a filter may stop the route, or an earlier module may have failed. Empty output is often a process clue, not a display problem.

A practical sequence for investigating scenario data

Opening the grid is easy. The quality of the investigation depends on the order in which you use it. A repeatable sequence prevents you from scrolling through large outputs without a clear conclusion.

01State the questionDefine what you are trying to establish, such as whether a required field is missing or whether a status was mapped correctly.
02Choose the right moduleInspect the module immediately before or after the suspected transformation, rather than reviewing the entire scenario at once.
03Reduce the viewHide fields that do not help answer the question and sort by a useful identifier, date, or status.
04Inspect exceptionsOpen individual bundles that match the problem and review their complete nested data.
05Decide on the next actionRecord whether the issue belongs in mapping, filtering, source data, error handling, or the wider business process.

Managing columns for clearer inspection

A module can return many fields, especially when it retrieves a full record from a CRM, database, or application. Showing everything at once makes comparison harder. Use the column controls to show the fields relevant to the current investigation and hide the rest.

A useful working order is to place the record identifier, business status, timestamp, and suspected field near the left side of the grid. This creates a small comparison surface. You can then decide whether the issue affects one record, a group of records, or every bundle in the execution.

Column visibility is usually a temporary analysis choice, not a change to the scenario’s data model. Hiding a field in the grid does not remove it from the bundle or stop later modules from receiving it. Distinguish between changing what you can see and changing what the automation actually processes.

Why this matters

A narrow grid makes patterns visible. A wide grid often hides the difference between a single bad record and a mapping rule that affects every record.

Filtering bundles in Grid view

Filtering is most useful when you already know what constitutes a relevant exception. Depending on the field and interface available, you may filter for exact values, text matches, numeric comparisons, or date conditions.

  1. Open the filter controls for the grid.
  2. Select the field that relates to your investigation.
  3. Choose a condition, such as equals, contains, greater than, less than, or is empty, where available.
  4. Enter or select the value to test.
  5. Apply the filter and review the remaining bundles.

For example, to investigate records that were not routed correctly, filter by the route status or destination field. To test data completeness, filter for an empty customer identifier or missing email address. To review recent activity, sort or filter by the execution timestamp or source date.

Multiple conditions can help isolate a specific case, but be careful with the logic. A filter for status equals open and owner is empty asks for records meeting both conditions when the interface treats the conditions as AND logic. If you need alternatives, such as records that are open or overdue, confirm how the grid handles the combination before drawing a conclusion.

Sorting and comparing values

Sorting is a simple way to reveal clusters and outliers. Sort by status to group similar records, by date to locate the newest or oldest data, or by a numeric field to find unusually high or low values.

Do not treat visual order as proof of cause. Sorting can show that errors cluster around a date or source, but you still need to inspect the relevant bundles and compare the upstream and downstream module output. The grid helps you form a hypothesis. The execution details and scenario logic help you test it.

A useful Grid view investigation ends with a decision, not merely a screenshot of unusual data.

Inspecting complete bundle details

The table is an overview. Click a row to open the bundle details and inspect fields that are hidden, nested, or difficult to compare in columns. This is especially important when a field contains an object, an array, a collection of line items, or data returned by an external application.

Compare the bundle at two points in the scenario when you suspect a transformation problem. If the source value is correct but the next module receives a different value, review mapping, functions, filters, and route conditions between those points. If the source value is already wrong, the correction may belong in the source system or an earlier validation step.

Exporting data from Make.com Grid view

Export can be useful when the output needs to be reviewed in a spreadsheet, shared with an owner, or retained as part of an investigation. Before exporting, prepare the view so the file answers a defined question.

Before exporting an execution
  • Confirm that you are reviewing the correct scenario execution and module.
  • Filter to the records relevant to the issue or decision.
  • Keep the identifier and context fields needed to interpret each row.
  • Remove sensitive or unnecessary fields where they are not needed.
  • Check whether the export contains visible rows only or a wider result set.

Available export formats and behavior can vary by Make.com interface and account context, so verify the result after downloading. An exported file is a working analysis artifact. It should not become the permanent system of record for operational data unless there is a deliberate retention and ownership process around it.

Using Grid view for troubleshooting

Grid view supports several common checks:

  • Missing data: find bundles where a required field is empty or has an unexpected format.
  • Incorrect mapping: compare a source field with the value received by the next module.
  • Unexpected routing: inspect the fields used by filters and routers to see why a path was or was not selected.
  • Duplicate processing: compare identifiers and timestamps to find repeated bundles within an execution.
  • Unexpected volume: determine whether a search returned more or fewer records than the business rule intended.

For recurring problems, document the diagnostic question, the module inspected, the condition found, and the corrective action. That turns one-off troubleshooting into a more reliable operating procedure.

Grid view is not a substitute for scenario design

Make.com Grid view is valuable at the observation layer. It shows execution output, but it does not replace clear decisions about validation, ownership, retries, alerts, or record state. If a team must repeatedly export data to understand whether a workflow is working, the workflow may lack an appropriate status field, exception path, or reporting view.

For example, imagine a hypothetical lead-routing scenario that receives new enquiries, checks territory, and creates or updates a CRM record. The team notices that some enquiries have no owner. Grid view can identify the affected bundles and show whether territory, source, or contact data is missing. The lasting fix might be a required-field check, an explicit unassigned status, and an alert for exceptions. Simply checking the grid every morning would leave the process dependent on manual attention.

This is where broader system design matters. A CRM workflow should represent meaningful business states, and each exception should have a visible owner. If the scenario connects lead capture, routing, and pipeline management, CRM consulting and pipeline design can help clarify the data model before further automation is added.

Use Grid view when

You need evidence from a run

Inspect bundles to validate a mapping, isolate a failed record, compare output, or prepare a focused review of an execution.

Improve the system when

The same review keeps returning

Define a business state, validation rule, exception route, owner, or report so the issue is handled by the workflow instead of memory.

Operational principles for Make.com Grid view

A bundle is evidence of execution, not proof of business success. A module can complete successfully while passing incomplete or unsuitable data to the next step.

Inspection should lead to ownership. When a filter exposes an exception, someone should know whether to correct the source record, change the scenario, or approve a business decision.

Automation should reduce investigation effort over time. If the same exception is repeatedly found in Grid view, use the pattern to improve validation, routing, alerts, or reporting.

Teams that need to connect automation data with wider operational reporting can also review the Commerce and Operations Intelligence Platform portfolio page for an example of how connected business data can support reporting and access to operational information. The relevant lesson is not to copy a particular toolset, but to design visibility around the decisions people need to make.

Make.com can be a strong automation layer when its scenarios are based on clear process logic. Grid view helps you see what happened in a run. The next step is to use that evidence to improve the workflow, data quality, and ownership around it. For broader automation architecture, see ConsultEvo’s systems, CRM, automation and AI implementation services.

FAQ

Frequently asked questions

What is Make.com Grid view?

Make.com Grid view is a table-style way to inspect bundles produced by a module during a scenario execution. It helps you review fields, filter records, sort values, and open detailed bundle data.

How do I open Grid view in Make.com?

Run the scenario or relevant module, open the execution output from the module's execution indicator, and select the available grid or table-style view. The labels may vary as the Make.com interface changes.

Can Make.com Grid view help find missing fields?

Yes. Show the relevant field, then filter or inspect bundles where the value is empty or unexpected. Use the result to determine whether the issue is in source data, mapping, validation, or routing.

Can I export data from Make.com Grid view?

Export options depend on the available Make.com interface and account context. When export is available, filter and organize the view first, then verify that the downloaded file contains the intended records and fields.

Does Grid view change the data processed by a scenario?

No. Changing visible columns, filters, or sorting in an inspection view does not normally change the scenario's underlying mapping or data. Changes to the workflow must be made in the scenario configuration itself.

ConsultEvo

Need a clearer automation workflow?

If Grid view is helping you find the same problems repeatedly, ConsultEvo can help clarify the process, data rules, ownership, and automation logic behind the scenario.