Research & learning consultancy
Building on our our experience of delivering on large scale community and regeneration programmes, in 2010 Renaisi formed a team to help other social sector organisations to design, appraise, evaluate and learn.
Our ongoing experience of place-based programmes such as Big Local and Place Based Social Action give us a unique and current insight into the dynamics of neighbourhoods across England and the opportunities and challenges that can emerge from communities and local partners working together.
What we do
Our approach is ‘hands on’, working with clients to understand what works, and why, and where value is created, to support ongoing learning and improvement. Alongside more ‘traditional’ research and evaluation work, Renaisi is experienced in developmental and learning approaches. As a learning partner we help teams to develop ways to embed learning, make better-informed decisions in order to adapt, innovate and develop best practice.
Our team specialises in mixed methods approaches, using our skills in qualitative research through interviews, participatory workshops, ethnography, visual methods, as well as data analysis and more creative approaches to data science.
We often partner with other organisations to create additional capacity and expertise for our work. We relish the opportunity to hear new perspectives that challenge us to think differently.
Who we work with
We have a wealth of experience helping charities expand and learn, develop their in-house evaluation capacity, understand and measure their impact. Charity clients include Crisis, Gingerbread, Family Action, Carers UK, The Prince’s Trust and The Reading Agency.
We also work with trusts, foundations and grant makers to develop, test and pilot new programmes and approaches. We help them understand their impact, reflect and gather feedback on the process, and support ongoing learning, improvement and sustainability. We work with Esmée Fairbairn Foundation, City Bridge Trust, Power to Change and the funder collaborative Local Motion.