Young Brent Survey

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Ingenious Group Research
Ingenious Group (IG) is a multi-award-winning Charity Management and Communications
firm that works exclusively to achieve social impact in the not-for-profit sector.
Its journey began in 1998 when a group of like-minded charity management leaders
developed a collaborative talent pool and network with a shared commitment to smart
working project management. Their aim was to make expert support accessible to
worthwhile projects and organisations. IG’s pioneering framework closely matches the
skills, personal/social interests and passions of their not-for-profit professionals, and then
assigns and matches them to organisations where they can deliver social impact. For the
last 18 years, the group's satellite network has remained at its core and has enabled us to
deliver expertise and support that is both affordable and accessible to some of Britain’s
most worthwhile, challenging causes.
IG’s vision is to achieve greater collaboration between all of the sectors for the common
social good, and to see a world where all good causes can access an expert service that is
affordable, regardless of an organisation’s size, income or status.
IG researchers use traditional marketing techniques, data, stakeholder research and
analysis, as well as the science of social anthropology. This helps us to better understand
social groups and the wider community so that we can support accurate segmentation,
adoption and ultimately engagement for either social impact or improvement.
Anthropology uses the comparative studies of different cultures and makes cross-cultural
comparisons. It also examines, interprets, analyses and compares the results of
ethnography - the data gathered. This allows us to compare and contrast different societies
and cultures. We augment our data and research within this context, commentary and
analysis, which helps us to anticipate social trends, identify risks and provide a better
forecast of future changes.
This intelligence and science is applied to both understanding and predicting the likely
responses of stakeholders to risk and rewards mixes, and to improving the design of
behavioural change or engagement programmes to maximise adoption.