BACKGROUND:
Many monitoring systems generate relevant data but lack structured mechanisms to support improvement plans. In Recife, Brazil, following the implementation of an institutionalized quality assessment system for Primary Health Care in 2023, the need emerged to support teams in translating evaluation results into actionable change. This study presents the Recife Monitora Mentorship model, designed to bridge the gap between evaluation and implementation through structured facilitation.

METHODS:
The mentorship model was developed in 2024 within Recife's Primary Health Care network (population of approximately 1.6 million). Facilitators were allocated across the eight health districts at a ratio of one facilitator per four units, encompassing a total of 370 teams. Facilitators supported unit managers in analyzing quality assessment results and developing action plans using a systematic framework: priority identification, bottleneck analysis, objective setting, and intervention design. The process was reinforced through WhatsApp communication groups and biweekly monitoring meetings involving facilitators, unit managers, and district leadership.

RESULTS:
In the first cycle, 135 action plans were developed, comprising a total of 488 proposed process-change interventions aimed at improving the quality of care, of which 64.8% were completed within the established timeframe. Mentorship was institutionalized as a component of the quality assessment system, taking place after each four-month evaluation cycle, with defined timelines, responsibilities, and monitoring processes. The use of mentorship demonstrated greater professional engagement in the development and implementation of improvement plans, with positive results in quality assessment indicators.

CONCLUSIONS:
The experience demonstrates that structured facilitation can translate quality data into concrete improvements in health Care. Direct engagement of frontline teams and managers, combined with support from facilitators, fostered commitment to change and strengthened a culture of monitoring and continuous improvement. The model's standardized methodology and scalability position it as a transferable approach for health systems seeking to bridge the implementation gap.