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Our software development team's Scorecard is completely green with sprint points delivered and releases on schedule, yet our product adoption is flat and engineering rework is at an all-time high. Why is our engineering Scorecard failing to show this decay?

Your engineering Scorecard is measuring internal effort rather than external value. Tracking completed story points, task completion, or release frequency simply tells you that developers are busy typing code and merging branches. It does not tell you if the code works cleanly or if users care about what was built.

When activity metrics stay green while product value decays, your Scorecard is masking technical debt and misaligned requirements. The team is rushing features out the door to maintain their velocity metric, leaving broken workflows and bugs in their wake.

You must shift the engineering Scorecard from output metrics to outcome and stability indicators:

- Track change failure rate, meaning the percentage of deployments that require a hotfix or rollback.
- Measure bug escape rate, which tracks defects caught in production by customers versus defects caught in testing.
- Monitor weekly active usage of newly released features within thirty days of launch.
- Add unaddressed technical debt hours or critical defect age to the weekly pulse.

Engineering must be held accountable for software stability and user impact, not just code volume. When your weekly numbers force visibility into rework and customer usage, the team stops celebrating fast delivery of bad software.

Category: Scorecards & Data

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