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Lessons learned: Mentoring Plus shows that well-designed intergenerational mentoring can have two-way impacts: it not only benefits young people (in terms of self-esteem, communication, opportunities), but also older mentors (who feel useful, learn from young people, break out of isolation). This double benefit motivates volunteers to continue. It also highlights the importance of measuring intangible results (such as trust and empathy) – which they have done through pre/post surveys and case follow-ups – in order to communicate the value of the programme to funders and society. Case3: ZingProgramme–Socio-educational mentoring (Catalonia, Spain) Zing is a socio-educational mentoring programme promoted by the Nous Cims Foundation and local organisations, aimed at teenagers in vulnerable environments. It combines individual mentoring with group workshops, seeking to improve these young people's academic motivation, emotional well-being and expectations. Sustainability: Despite being relatively young (launched in 2018), Zing has managed to consolidate its position and grow in terms of the number of mentorships thanks to a strong focus on innovation and evaluation. They have ensured continuity through solid mentor training, partnerships with educational institutions, and adaptability (for example, they implemented online mentoring during the pandemic without interrupting the programme). Impact assessment: Zing has incorporated a rigorous assessment system from the outset. They opted for four assessment methods: (1) Psychological well-being questionnaires (Ryff scale) administered before and after mentoring to measure changes in self-esteem, autonomy, etc. (2) Periodic follow-up questionnaires for mentors and mentees during the process. (3) In-person observation by the technical team in some sessions. (4) An extensive final questionnaire with 45 items for all participants. The results have been very revealing: according to the published data, mentoring led to an 88% increase in young people's self- esteem, a 91% increase in their motivation to study and an 87% increase in their curiosity to learn. These increases indicate a strong impact on key attitudinal variables. In addition, they measured more than 25 variables using a tool called IQA (Quality of Accompaniment Index), showing significant improvements after approximately 30 hours of accompaniment between mentor and mentee. Lessons learned: Zing demonstrates the value of incorporating scientific evaluation into social programmes. This has allowed the model to be rapidly iterated and improved. For example, they identified the importance of extending the minimum duration of mentoring to a full academic year in order to maximise impact. It also illustrates how soft skills can be measured consistently, something that is sometimes considered difficult. Their case inspires us not to fear rigorous evaluation, as it helps to ensure the quality and sustainability of the project. 22