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Software project success depends on effective people management; however, managers often rely on intuition rather than evidence-based practice. To bridge this gap, we compiled a catalog of good practices to assist managers in implementing people management practices, reducing resistance, and simultaneously collecting indicators that can be used to evaluate the effectiveness of practices. We compiled the practices outlined in the literature from 63 selected studies conducted from 2016 to 2023. These studies were then categorized into 9 problem domains and 16 associated practices. Subsequently, through a survey, these practices were validated by 31 professionals, enabling classification based on overall relevance and problem-resolution efficacy. The results underscore the importance of interpersonal skills (soft skills) over technical abilities (hard skills) and highlight the significance of continuous feedback, open communication, and transparent management practices. This catalog is a valuable resource for managers to assess and customize practices for their specific project needs.

Sustainability indicators (SIs) are important elements in Strategic Environmental Assessment (SEA) processes. By means of Content Analysis, the documentary study underlying this paper aimed to characterise and analyse the use of SIs in the final reports of 32 SEAs conducted in Brazil. The results are that 30 SEAs utilise SIs, aiming to make the baseline of the study (all of them), anticipate and monitor the effects of the plan or program (73.3%), compare scenarios (46.7%) and/or alternatives (26.7%). Reports have shortcomings in addressing the SIs, such as insufficient description of the selection process, no reference to the selection criteria adopted, and the use of vague and poorly formulated SIs, that are often expressed in the form of impact or objective. Other aspects related to SIs are analysed, with the quantification of their occurrence. The study also highlighted good practices identified in SEAs, which may improve the management of SIs in future processes.