The Next Next Common Sense
capabilities, and human needs. While specific approaches vary across settings, several implementation principles have proven widely effective:
Start with Values and Purpose
Effective recognition systems begin with clarity about what the orga- nization genuinely values and why recognition matters in the first place. This foundational understanding should precede decisions about specific metrics, technologies, or processes. Organizations that reverse this se- quence—implementing recognition technologies without first establish- ing their purpose—inevitably create systems misaligned with their actual priorities. REI exemplifies this values-first approach. Their recognition sys- tems explicitly connect to their cooperative ownership structure and outdoor-focused mission, acknowledging contributions that advance environmental stewardship and community engagement alongside tradi- tional business outcomes. This alignment ensures their recognition prac- tices reinforce rather than undermine their fundamental purpose.
Design for Appropriate Visibility
Visibility emerges as a central design consideration in digital recog- nition systems. Too little visibility prevents appropriate acknowledgment of contribution, while excessive visibility creates surveillance dynamics that undermine psychological safety. Finding the right balance requires careful attention to context, cultural norms, and individual preferences. GitLab’s “handbook-first” approach demonstrates thoughtful visibil- ity design. Their completely public handbook documents roles, responsi- bilities, and contribution expectations with unprecedented transparency. This visibility creates clear attribution pathways while simultaneously establishing appropriate boundaries around performance feedback that remains more private. The system makes work visible without subjecting individuals to inappropriate exposure.
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