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Support teams often have one or two customers that generate a disproportionate number of tickets — but there's no easy way to see this. Without visibility into which customers consume the most support capacity, teams can't:
Identify customers who need proactive attention (recurring issues that should be fixed at the source)
Spot unprofitable relationships (customer pays a flat rate but uses 50% of your team's time)
Make informed decisions about pricing, staffing, or scope
It's common for a small number of customers to consume a large share of support capacity. This is fine if those customers pay proportionally — but often they don't. This report makes the invisible visible:
For managed service providers: Compare time spent per customer against what they pay. If a customer consumes 40% of your time but only pays 15% of your revenue, that's a problem you need to address.
For internal teams: Identify which departments or business units generate the most support load, so you can invest in training or better tooling for them.
For proactive improvement: A customer with a high ticket count often has a recurring problem that could be fixed once instead of handled repeatedly.
Problem
Support teams often have one or two customers that generate a disproportionate number of tickets — but there's no easy way to see this. Without visibility into which customers consume the most support capacity, teams can't:
Proposed Solution
Add a "Customer Workload" report (or Agent Dashboard widget) showing per-customer:
Key features:
Why This Matters
It's common for a small number of customers to consume a large share of support capacity. This is fine if those customers pay proportionally — but often they don't. This report makes the invisible visible:
Dependencies