Exporting Reports

Exports help your team move Callaro data into leadership reviews, finance workflows, external analysis, and BI systems without losing operational context. A good export is not just a file download. It is a controlled handoff of the right data, for the right audience, with filters and definitions that people can trust.

Prerequisites

You know who will use the exported file and what decision they need to make from it.
The date range, campaign scope, and required fields are clear before you export.
You have permission to access the reporting data you want to share.
Your team understands any data handling or privacy rules that apply after export.

Recommended owner

Operations Manager or Analyst: prepares the export and validates its usefulness.
Finance or BI stakeholder: confirms the file format and granularity they need.
Team lead: validates that the numbers align with in-product reporting before sharing widely.

What exporting means

An export is a point-in-time copy of selected Callaro data. Teams use exports when they need to:

combine Callaro data with other business systems,
prepare executive or board reporting,
analyze trends outside the product,
archive a reporting snapshot for audit or reconciliation.

Because exports leave the product, they also create risk. The wrong filters, missing columns, or unclear definitions can lead to bad conclusions that spread faster than the original mistake.

Steps

Open the Reporting or Exports area in Callaro.
Choose the date range, campaign, and any other filters that match the question you are trying to answer.
Select the report type or export view that best matches the audience. For example, operational review and finance review often need different levels of detail.
Confirm the included fields before running the export. Remove anything the recipient does not need.
Run the export and wait for the file to finish processing.
Open the downloaded file and review a few rows before sharing it.
Sanity-check totals, outcomes, and key fields against the reporting view in Callaro.
Share the file only after the owner confirms it matches the intended use.

How to decide what to export

Export the smallest dataset that still answers the business question.
Use narrower date ranges when you need reliable validation or faster turnaround.
Separate finance exports from coaching or QA exports when they rely on different definitions.
Include outcome, timestamp, campaign, and any ownership fields needed to interpret the data later.

How to know the export is healthy

An export is usually healthy when:

the scope matches the reporting question,
totals reconcile with the same view inside Callaro,
the receiving team can use the file without asking for missing context,
no sensitive fields were exported unnecessarily.

Common errors and failure handling

The export is too large or times out

Reduce the date range, split by campaign, or run separate exports for different audiences. Large files are harder to validate and easier to misuse.

The file is missing important detail

Check whether the wrong report type or filter set was chosen. Re-export only after you confirm the business question and required fields.

The numbers do not match another report

Compare filters, field definitions, and date ranges before escalating. Most mismatches come from scope differences rather than broken data.

The export was shared, but stakeholders cannot interpret it

Add context. Share the reporting definition, outcome meaning, or metric notes alongside the file so the file is not interpreted in isolation.

Acceptance checklist

The export audience and purpose are clear.
Filters and included fields match the question being answered.
Export totals reconcile with in-product reporting.
Sensitive data was limited to what the recipient needs.
The receiving team understands how to interpret the file.