Our operations head hits their weekly delivery Scorecard targets consistently, yet client satisfaction is visibly slipping and account managers are burned out. What is broken in our data system?

Question

Tyler Smith · Accepted Answer

When a Scorecard measurable is consistently green but real-world operations are crumbling, your data system has a blind spot. You are either tracking the wrong activity, measuring raw volume without a quality constraint, or rewarding an outcome that incentivizes team members to game the number.

This disconnect usually occurs when a metric focuses purely on throughput rather than successful completion. For example, if an operations seat is tracked on total project tasks closed per week, employees will close simple tasks rapidly to hit their quota while postponing complex, high-friction client requirements. The sheet stays green, while client delivery stalls.

To fix this dynamic, take the metric to IDS and apply these structural corrections:

- Pair volume with quality: If you measure tasks closed or hours delivered, add a paired metric that captures downstream health, such as zero reopened tickets or project deliverables approved without revisions.
- Audit the metric definition: Ensure the criteria for hitting the target cannot be satisfied by cutting corners. If closing a task requires client acceptance, a deliverable cannot be marked complete until that acceptance is formally logged.
- Confirm seat accountability: Ensure the seat that owns delivery performance also feels the pain of customer dissatisfaction. If account management absorbs all client friction while operations hits isolated output numbers, the Accountability Chart has misaligned incentives.

Your Scorecard must reflect operational reality. If the sheet is green while the business is hurting, change the metric immediately.