Leveraging Lightweight Task Notification Systems to Enhance Clarity, Continuity, and Coordination in Early-Stage Software Development Teams
คำสำคัญ:
Socio-Technical Systems, Task Coordination, Lightweight Notifications, Design Science Research, Knowledge Managementบทคัดย่อ
Early-stage software teams relied heavily on informal communication for task coordination; however, this created a structural tension: communication was abundant, while shared visibility into task status remained insufficient. This study investigated how a lightweight structured task notification system could improve knowledge continuity and team coordination in such environments. Using Design Science Research (DSR), the researcher designed and deployed a notification artifact within a Thai software startup of approximately 25 employees, embedding four automated notification types and a single-click task completion button into the team's existing Lark platform. Three temporal phases were examined: a pre-artifact baseline with no task records, a nine-month broader deployment covering 571 tasks, and a two-month focused pilot with six participants across 20 tasks.
Pre-intervention analysis identified three recurring coordination breakdowns: mismatches between actual and recorded task start times, with 9.5% of tasks never being tracked; systematic omission of small tasks; and inaccurate completion status, with 20.3% of tasks never being marked as completed. The central finding was socio-technical: the same artifact produced inconsistent results during nine months of unstructured deployment but achieved 100% task tracking and completion rates when supported by a bounded project scope, clear usage expectations, and managerial commitment. Post-intervention evaluation using an adapted Kirkpatrick framework indicated improved task visibility, reduced verbal follow-up, and enhanced retrospective traceability within the pilot context. Five transferable design principles were proposed for practitioners implementing lightweight coordination interventions in resource-constrained teams.
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