Users were frustrated by the differing approaches to the same actions and surprised by many errors in their top-level business numbers.
Accountants were reporting that the data in QuickBooks often required tedious clean up of duplicates and unreconciled transactions.
It was well known that the majority of users had duplicate entries, due to the many different ways data was coming in.
To prevent this problem from growing, we inserted a friendly alert to the Banking feed, to slow users when they were likely about to duplicate a record.
For users that engaged, we followed-up with guidance pop-ups to show them how to proceed.
We didn’t like using the word “match,” as it was clearly confusing users. We were later able to replace it throughout the product, but in the meantime, we tried to explain and expound upon it.
I worked closely with my Content Designer to process hundreds of inputs, and created a series of design principles to guide the UI and content design for the this area of the product.
I also created a nice deck and presented them widely to leaders and stakeholders (illustrations were pulled from a repository of brand assets).
I proposed that incoming data should appear in-context in the corresponding areas of the product (liberating it from a siloed data-review area).
I also proposed a system where users would be walked through a series of simple questions and we could point them to the correct next step.
Users loved this simple direction in reviews, and there were no concerns from stakeholders about the UX, but it would a huge undertaking, and in the meantime...
We invented a tool to solve for that last-minute tax-time crunch, that would take users through all of the incomplete and likely duplicate records in their books.
We called it SmartCheck.
Through many explorations and iterations on content and UI, we landed on this simple, focused experience of going through one transaction at a time.
To map to the existing mental models, we created one tool for reviewing and reconciling money-in transactions and another one for money-out.
For the first time, users had a chance to visually intuit the relationship between transaction types in the product, and see how and why they needed to be reconciled.
Short term, these changes were celebrated by users, and reduced new errors by an estimated 20%.
Longer term, our framework continued to bring clarity and consistency to many accounting projects for years to come.