Copying an address from a form into a sales tool, then retyping it into a quote: it’s a familiar process. Yet it’s not always a waste of time. Entering the information a second time can serve as a deliberate check. The key question is which instances of copying serve as a verification and which merely increase the risk of an oversight.
Identify a specific re-entry
For a few days, track the information copied between tools: contact information, case status, order number, and approved amount. Note who takes action, when, why, and what happens if a step is missed. Don’t start with a list of connectors—start with a recurring task and its expected outcome.
Follow the flow of information
Fictitious example: A request is submitted via a form, read from a shared folder, added to a tracking table, and then transferred to a customer record. For each step, list the source tool, the destination tool, the person in charge, and the validation rule. No actual customers or results are associated with this example.
This simple diagram sometimes reveals that the problem stems from an open field that cannot be closed, a missing access point, or two people who interpret the word “validated” differently. In such cases, immediate automation would simply replicate the confusion.
Choose the data that serves as the basis
The same data may exist in multiple tools, but any corrections must follow a set of rules. Where is the address created? Which tool is authorized to modify it? How do the other tools receive the update? Define the identifiers, formats, and fields to be transferred. To learn how to allocate responsibilities among software systems, read our guide on the data source of truth. Don’t automatically synchronize all columns, and don’t initiate two-way synchronization without a conflict resolution policy.
Try a limited initial feed
Start with a transfer process where the input and output are known. Specify its trigger, data matching, duplicate handling, failure notification, and manual recovery. Include human validation if an error could alter a quote, notify a customer, or overturn a decision. The test focuses on observed behavior, with no promise of quantifiable gains.
Programming interfaces can facilitate this data exchange. The WordPress documentation for its REST API describes how this works for WordPress; however, the fact that it exists does not mean that a specific connection is already set up on your site.
Keep clear records
A workflow chart should enable someone else to answer five questions: What information is being shared? Between which tools? According to what rules? Under whose responsibility? And what should be done if an error occurs? Review it whenever a tool or procedure changes. That’s how you keep a workflow under control.
If you've noticed a duplicate entry, describe its source and destination. Our Solutions and Systems and Automation pages explain how we address these topics. You can also let us know about it. For information on data exchange between systems, see Connections and Integrations. You can find this guide in "Sharing Information."