Stefan Stelzer & Volker Zöpfel
Metrics Handle with Care: The Paradox of Measuring Team Performance
#1about 2 minutes
Why measuring lines of code backfires on teams
Measuring developer productivity by lines of code encourages writing bloated, unmaintainable software instead of efficient solutions.
#2about 3 minutes
How ticket counts and estimates create perverse incentives
Focusing on the number of solved tickets or estimation accuracy leads to ticket-splitting overhead and padded estimates, ultimately reducing output.
#3about 4 minutes
Why managers resort to metrics due to lack of trust
Managers often use metrics as a proxy for understanding because software development is inherently invisible, leading to a breakdown of trust.
#4about 2 minutes
Building trust by becoming part of the team
Managers can foster a high-trust environment by getting involved with the team, creating psychological safety, and enabling ownership.
#5about 3 minutes
Using internal metrics for team self-improvement
Metrics like work-in-progress limits, review queue size, and codebase size can be powerful tools for a team to identify bottlenecks and manage workload.
#6about 2 minutes
Shifting focus to meaningful product-level metrics
Instead of comparing team-level output, focus on product-level metrics like quality, cost of usage, and availability to drive meaningful improvements.
#7about 1 minute
A summary on measuring with the right attitude
Effective measurement requires a healthy team environment, a clear target for the metric, and a focus on what truly improves the product.
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