We tackle the analytical problems that don't fit neatly into existing tools — the messy, domain-specific, bespoke challenges that require building something new.
Your organization is sitting on thousands of survey comments, reviews, or qualitative responses you've never been able to fully analyze.
ORRO turns that untapped text into decisions.
We gain novel insights by treating spoken thoughts - shared through surveys, reviews, posts, and videos - as data. We then use artificial intelligence to analyze this information and merge the resulting text-based findings with traditional numeric data to address a wide range of business challenges.
We believe that genuine analytical curiosity — the kind that doesn't stop at the nearest available method — is rarer than it should be, and more valuable than most organizations realize.
Most analytical problems look different on the surface. Dig deeper and they share the same structure: a question that matters, data that is messier than expected, and an audience that needs to understand and trust the answer before they can act on it.
ORRO exists because we find all of it interesting — the problem framing, the method selection, the technical execution, and the challenge of explaining what we found to people who didn't build the model.
We bring strategic thinking and a wide analytical toolkit to every engagement, and we stay until the answer is both right and understood.
ORRO was founded by Jessica Pearson and Liz Goldstein, graduates of the University of Virginia Darden School of Business. Together they bring strategic leadership, deep technical expertise, and over 10 years of experience applying AI and text analytics to complex, real-world problems across multiple industries.
Featured speakers at DataConnect 2024 in Columbus Ohio, DataConnect 2025 in Columbus Ohio, and LINHAC 2026 at Linkoping University in Linkoping Sweden
Solve analytical problems that don't fit standard tools or methods
Turn unstructured text — open-ended feedback — into measurable insights
Build custom models combining language, numeric, and behavioral data
Design research approaches from scratch when existing frameworks fall short
Develop your team's AI and analytics capabilities from the inside out
Every engagement starts with genuine curiosity about your problem — not a template waiting to be filled in.
We've applied our methods to workplace design, consumer products, sports analytics, conference feedback, and legal text. The domain changes. The commitment to building something that actually fits your question doesn't.
Our work typically moves through four phases:
Deep discovery to understand what you really need to know;
Exploratory analysis to find the right method;
Rigorous modeling and insight development;
A final deliverable built for the people who will act on it.
We work with organizations that have complex text data and bespoke analytical challenges including workplace strategy firms, consumer brands, sports organizations, and various universities.
Contact us at jp@orrogenius.com
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