Our goal is to help organizations use better data better, and we start that process by thinking about and planning for data use. Some of the ways we spur clients to collaboratively muse about data include:

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• Evaluation planning

• Evaluation plans and needs statements in grant proposals 

• Literature reviews

• Logic models

• Theories of change

• Feasibility assessments

• Landscape analysis

• Needs & asset mapping

We create data infrastructure for organizations of any size -- but especially those scrappy organizations that need to be ever-mindful of budget -- to capably manage data to achieve full optics on programs and performance. We can extend organization capacity through:

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• Monitoring systems & database design

• Reviewing current data systems & implementing improvements

• Creating user manuals and trainings

• Creating new or optimizing current data-related workflows

• Institutional review board application & ongoing management

We are applied practitioners with years of experience wrangling data using multiple methods. We stay curious and positioned to learn alongside our clients through data collection methods,  including:

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• Surveys

• Focus groups

• Interviews

• Case studies

• Document reviews

• Photo analysis

• Quantitative analysis

• Qualitative analysis

• Program evaluation

Making meaning through data is the heart of our work. Without meaning, data loses purpose and power. Therefore, in addition to interpretation support of new and existing data, we create intentional opportunities for people to acclimate to data on their own and together through:

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• Data visualization

• Information design

• Sensemaking sessions

• Synthesis of existing technical reports

• PowerPoint and other presentation support

• Training & technical assistance materials