About us

Two analysts. One shared passion for creative problem solving.

Our Story

ORRO grew out of a friendship that predates the company by more than a decade.

Jessica Pearson and Liz Goldstein met in business school and spent years collaborating on research — first out of genuine curiosity, then with growing conviction that organizations were systematically underusing one of their most valuable assets: the words people use when they're not being asked to check a box.

Survey comments. Online reviews. Open-ended feedback. Qualitative responses of every kind. The data that gets collected, filed, and rarely fully analyzed.

ORRO exists to change that. We combine rigorous text analytics, machine learning, and AI to turn unstructured language into decisions — working across industries wherever organizations have complex, bespoke analytical challenges that off-the-shelf tools can't solve.

Meet the Team

Jessica Pearson, MBA — CEO

Jessica is a strategic thinker with exceptional skills in translating complex analytical findings into clear, actionable insights for decision makers. She brings deep experience in workplace strategy, change management, and client facilitation — and a rare ability to bridge the world of data science and organizational leadership. Jessica holds an MBA and additional credentials in architecture (AIA) and change management (CCMP).

Speaking engagements include DataConnect 2024, DataConnect 2025, INFORMS Business Analytics Conference 2024, and LINHAC 2026.

Liz Goldstein, MBA — CTO

Liz is an agile problem solver with a strong analytical mind and deep expertise in AI, Python, and natural language processing. She designs and builds the technical pipelines that make ORRO's work possible — from topic modeling and language model development to synthetic data creation and prompt engineering. Liz's research spans workplace analytics, legal text, and linguistic annotation, with published and presented work across academic and industry conferences.

Recent research includes work on temporal expression recognition in criminal trial transcripts and epistemic function classification in text. Speaking engagements include DataConnect 2024, DataConnect 2025, INFORMS Business Analytics Conference 2024, and LINHAC 2026.

Our Credentials

ORRO's founders bring over 10 years of combined experience in analytics, AI, and organizational research. Our work has been presented at leading data and analytics conferences, and our research has been published in peer-reviewed academic workshops.

Selected presentations and publications:

— Goldstein and Pearson, "Multi-Horizon Career Longevity Prediction for NHL Skaters: Landmark Logistic Regression Reveals Stage-Specific Risk Factors," LINHAC 2026

— Goldstein, Co-author, "Temporal Expression Recognition in Criminal Trial Transcripts", LREC Conference, May 2026

— Goldstein and Pearson, "Marketing in the Age of LLMs: How to Use Online Customer Reviews for Product Insights," DataConnect Conference, October 2025

— Goldstein and Pearson, "Mining Qualitative Data for Insights," DataConnect Conference, July 2024

— Goldstein and Pearson, "Mining Qualitative Data for Insights," INFORMS Business Analytics Conference, April 2024

— Goldstein, Co-author, "Increasing Sentence-Level Comprehension Through Text Classification of Epistemic Functions," Joint 15th Linguistic Annotation Workshop and 3rd Designing Meaning Representations Workshop, 2021

— Goldstein, "Analytics Research on Outside Counsel Effectiveness," INFORMS Business Analytics Conference, April 2016

— Pearson, "Lean Principles in Service Industries: Operations Research," INFORMS Business Analytics Conference, April 2016

What makes us different

We don't offer pre-packaged solutions. Every ORRO engagement is built around your specific data, your specific questions, and your specific domain. We've applied our methodology to workplace design, consumer products, sports analytics, and legal text — because rigorous text analytics travels wherever language lives.

Putting the Tech in Text™

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