Services
Dharshi Harindra offers DEI assessments and surveys, training, coaching, and keynote speaking services.
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Dharshi works closely with organisations and senior leaders to help them make evidence-based decisions and achieve successful DEI outcomes through using data-driven insights as a basis for understanding the strengths and opportunities that lie within their teams, and the actions required to get closer to 100% inclusion.
Dharshi’s 15 year legal career spanning the world’s largest law firms, technology companies and financial institutions makes her uniquely placed to help firms achieve impactful inclusion outcomes.
Change doesn’t happen overnight. Dharshi offers comprehensive and tailored training about the following key topics which form the cornerstones of inclusion and form the foundations from gathering meaningful DEI data going forward:
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Foundations of DEI data
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Inclusive leadership
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Creating courageous spaces
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Allyship and bystander action
Through initial discovery sessions, Dharshi will co-create a programme that best addresses your needs whether that is one or a combination of workshops, small-group training sessions, coaching for senior leadership, or targeted advisory services.
Dharshi helps organisations to create surveys (and co-create surveys with in-house teams) and guides organisations to administer diversity data surveys in a compliant and inclusive way.
Whether it’s auditing existing data or administering surveys and facilitating focus groups to collect both quantitative and qualitative data, Dharshi will analyse and provide recommendations to steer your DEI strategy in targeted and meaningful way.
Dharshi shares her expertise and data-driven insights to empower organizations and individuals on their journey toward inclusivity and positive change.
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Engage with Dharshi to share about her own journey as well as any of her upskilling topics. In addition, Dharshi regularly appears on podcasts, panels and events addressing the importance of representation, storytelling and bias (including addressing bias in AI).