Research & Data Analysis
In our pursuit for change, we are only as successful as our ability to monitor and track our progress. I evaluate scientific studies, create research designs to evaluate outcomes, choose measures that will tap into your desired outcomes, and propose, conduct, and makes sense of statistical data so you can take actionable next steps for your product or program.
Measurement selection
How do you measure constructs like engagement, mood, or preferences? It may seem pretty straightforward, but a whole field, psychometrics, is devoted to understanding the trade-offs between a survey’s reliability (how consistently a measure measures something) and validity (the degree to which the instrument is measuring what it says its measuring). I help teams make informed measurement decisions based on their goals, balancing the stability of validated instruments with engagement and attrition concerns.
research design
Designing a study requires you to have hypotheses, measures, protocols, and a data analysis strategy in place. You also must think through what your end goals are and identify and anticipate confounding variables that may cloud or contribute to misleading associations. I partner with product teams to design strategic A/B tests, longitudinal, and more traditional experimental studies so they can understand what works, what doesn’t, and make data-decision product decisions.
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data analysis & interpretation
This is the fun part. What are your results?! I help teams think through data analysis strategies based on the types of scales they are using, issues related to statistical power, and interpret the output of their analyses.