We center the voices that animate your data by maintaining a constant connection to the human experiences that underlie it, while deploying equitable data strategies.
We specialize in collecting, rigorously analyzing, humbly interpreting, and communicating data provided by folks who have been historically treated as outliers – marginalized and silenced.
We have extensive experience with continuous quality improvement and change frameworks regarding hard-to-reach and historically marginalized populations – challenging the status quo to drive change. provoking change.
We humanize data rather than datifying humans – through context, data-infused appreciative inquiry (the other AI), participatory processes, and anti-oppression frameworks.
We foster impact by revealing pathways to change that are rooted in human experience, harnessing data that is localized, contextualized, and driven by compassion.
We have strategies, tools, trainings and methods for devising data strategy, building analytic capacity, achieving data maturity – to transform systems and change lives.
Data strategy is not top of mind when lives are at stake. Yet data leadership flows from an articulated data strategy, and fostering measurable positive change flows from data leadership.
We can guide you through the process of developing your data strategy, with a focus on getting your data to work for you. Or we can partner with you to provide on-demand data leadership through interim or small ongoing engagements, especially suited for small-to-medium organizations who want to leverage data expertise in order to reach their data-driven goals.
Measuring systems change can require deep exploration during the planning stage, flexible adaptation of qualitative and quantitative data collection tools during the formative stage, and the use of robust but engaging tools during monitoring and assessment.
Whether drafting a theory of change to guide the development of proper measures, designing a systems map to anticipate intended effects and impacts, or devising a system improvement plan that relies on rapid cycle evaluation – our trainings and technical assistance will provide the tools that are necessary to launch your effort and implement your plan.
Data storytelling engages your stakeholders and makes an impact. It demonstrates where you’ve been, describes where you are at, and reveals pathways that will get you to where we want to go. It provides localized, contextualized information that helps transform data into insight, insight into action. Fortunately it’s achievable using low-cost/no-cost tools coupled with staff training and mentoring.
We are experts at telling data stories. We can get your data talking by building out your data pipeline and upskilling your data team.
Some scenarios: A stakeholder group wants insight into a specific subpopulation in order to design tailored interventions. A planning project cries out for a survey of those who are impacted, from program staff to persons with lived experience. An equity analysis requires census tract data to determine whether disparities exist at a contextual level. A funder is requesting a Social Return On Investment calculation for a grant proposal. All of these are examples of when you might want to conduct a robust analysis but don’t have the time or capacity to do so. Analytics On Demand provides a solution: You gain expert data prep, analytics and reporting while preventing staff burnout and staying within budget.
Creating change in complex systems is difficult and slow. Maddening and inspiring. Humbling and filled with hope.
Effective data strategy helps chart the way.
Data humanism calls on us to appraise our data strategy, assess our data maturity, and build our data capacity to assure this one thing: that our data drives positive change — for our stakeholders, for our community, and for folks who live and love there. Our catalyst kits accelerate human-centered data journeys and strengthen the capacity to analyze, visualize, and harness data to impact change.
We use design thinking to ideate, co-create, prototype and iterate a final set of community Key Progress Indicators.
We establish a robust framework for continuously monitoring, evaluating, and learning from system activities.