The issue is not lack of information. It is too much information spread across store data, sales data, transaction-level data, time and attendance, traffic, CRM activity, and operational tasks. Managers do not have time to review all of that detail just to determine which salespeople are really performing the way they want.
The Hawthorne effect matters: when you shine a light on a behavior, it tends to improve. The challenge is knowing where to shine the light.
The Store Team Score brings these activities together into a single, role-specific score. It ensures that performance is not judged only by sales volume, but by the quality of execution across all required behaviors.
Typical inputs: selling behaviors, attachment rates, customer capture, loyalty activity, task completion, omnichannel behaviors, compliance, and other KPIs defined by the retailer.
One of the biggest advantages of the Store Team Score is not just seeing performance today — it is seeing performance over time across many people. Instead of reading through disconnected reports, managers and territory teams can scan weekly score patterns across the last 8 weeks and immediately see where performance is consistently strong, inconsistent, or slipping.
This makes two things much easier: spotting persistent weak performance quickly, and drilling in to understand exactly which behaviors are causing the score to lag.
Clear visibility into what good looks like and which behaviors need improvement first.
More specific coaching, clearer accountability, and faster feedback conversations.
Quickly identify where groups of salespeople are lagging and where broader training is needed.
Create a more consistent standard for development, performance visibility, and coaching quality across the network.
There are two distinct sources of ROI. One is measurable efficiency in reviewing large teams. The other is the harder-to-quantify but more powerful value of knowing exactly where to focus improvement.
