One of the best things RQ has to offer is the ability to take pieces of different modules and tie the info together.
A great example of this is the productivity graph in the Executive Dashboard. This combines your scheduled hours in RQ4 with your sales and non-customer activity. The intention is to help you staff your stores based on customer demand and other duties required by a sales associate.
RQ lets you take pieces of different modules and tie the info together.
At a glance, the productivity graph will show you hour-by-hour the customer activity (sales, refunds etc) and non-customer activity (receiving a PO, transfer, etc.) versus your scheduled man hours for all stores combined.
Here’s the tip: To get even better more detailed info, click on the productivity link that will bring up a new report called “Hourly Productivity Report.” You’ll notice it defaults to your entire company. Narrow it down to a single store and a single day (no date range). In this example, I’m looking at the Broadway location on June 24th (which happens to be a Monday).
This is important: Click the ‘Analyze’ button.
This is important: Click the ‘Analyze’ button. What this button does is take the date of the week you have selected (e.g. Monday) and the location you have selected (e.g. Broadway) and it will compare productivity over the last four Mondays.
This will help you make faster better staffing decisions. Looking at the previous four-week comparison will help you ensure you are staffing appropriately -- based on the amount of customers in your store who are buying. And when no customers are in your store, you should see a spike in non-customer activity.
When no customers are in your store, you should see a spike in non-customer activity.
Should you stay open later? Should you really be starting an extra shift at 11 a.m. if your busy time doesn’t start until 2 p.m.? Why have 3 people on hand until 9 p.m. when you see a decrease in activity at 7 p.m.? Let RQ4 help you make those decisions with the data to back it up!