When running a small business, numbers don't lie. Gut checks, opinions, and feelings are no way to build a business. Your team's job is to interpret that data and understand the different levers of the business; levers that when pulled, are leading indicators to change the business for the better.
To me, this is the fun part of any business. When a team understands their business and how it works, not just what is does, the result is magical. The team is empowered, aligned, armed with data, engaged and learning together. If they don't understand what levers to pull to move the business forward, the team is rudderless, lost and fumbling in the dark wondering why everything they are trying isn't working.
I know because I've had both types of businesses. I also understand that getting teams aligned with this important data is one of the most difficult things to do.
The Aha Moment
We created Eliot because we saw that the most crucial financial data, was locked into systems like QuickBooks and Xero and accessed and used regularly only by accounting departments and bookkeepers. However, the financial health of the business is everyone's responsibility and we wanted to bring financial data out of those systems and into Slack, where team collaboration and decision making so often happens.
Eliot sends revenue and expense information from QuickBooks to Slack instead of a bookkeeper's siloed email as with standard QuickBooks reporting. This opens up better way for teams to collaborate and discuss the financial health of the business by getting the same information, in the messaging platform they already use everyday. Future releases will see Eliot send information on accounts payables and receivables, notifications when payments are received and expense categorization.
For many small businesses QuickBooks is the main system of record for financial, employee and even sales data. As Slack increasingly becomes the operating system of small business, we think it's time the data from QuickBooks was sent to Slack so the whole team can make better data-driven decisions.