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Tabbi.

Peer-reviewed qualitative analysis using the GATOS methodology. Defensible insights for high-stakes decisions.

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Capabilities

  • Thematic Analysis
  • Decision Network Mapping
  • Causal Inference
  • Generative Reporting

Contact

  • [email protected]
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About

Precision analysis grounded in peer‑reviewed methodology

Founded by Andrew Katz, PhD, to bring traceable, defensible qualitative analysis to high‑stakes decisions. Methodology published in Nature and SAGE.

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At a glance

What defines Tabbi

  • Research‑led engagements with clear accountability
  • Evidence‑linked outputs that withstand scrutiny
  • Peer‑reviewed methodological foundation

Our Story

Bridging the gap between data and meaning

Tabbi Research was founded by Dr. Andrew Katz to bridge a persistent gap: organizations hold rich qualitative data, but rarely have a defensible, traceable way to analyze it at scale.

Dr. Katz developed the GATOS methodology and published it across 3 peer‑reviewed papers in Nature and SAGE journals. Every engagement is grounded in this research — ensuring each insight can be traced back to the original participant evidence.

Published Research

Methodology you can trust

Our approach is documented in peer‑reviewed research.

Humanities & Social Sciences Communications

Peer‑reviewed research in Nature’s HSS Communications.

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International Journal of Qualitative Methods

SAGE peer‑reviewed publication.

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International Journal of Qualitative Methods

SAGE peer‑reviewed publication.

Read the paper →

What Drives Us

Why the methodology was built this way

Every design decision traces back to a research principle.

Born from Academic Rigor

The methodology emerged from peer-reviewed research, not product marketing. Every analytical step is documented, citable, and reproducible.

Traceability Over Speed

Every insight links back to source evidence through a complete chain: theme → code → cluster → extract → original utterance. No black boxes.

Privacy by Architecture

The entire workflow runs on open-source models. Your data never touches third-party APIs. NDAs and DPAs are standard practice.

Human Judgment, AI Scale

PhD-level review on every engagement. AI handles the volume and pattern detection; humans handle interpretation and quality assurance.

Expertise

Research focus areas

We push qualitative research beyond surface‑level synthesis, combining methodological rigor with transparent decision pathways.

What this enables

Executives gain defensible evidence chains, researchers gain repeatable protocols, and teams gain a shared language for decisions.

Extract‑Based Thematic Analysis

Identify themes through discrete extracts with full traceability to source utterances.

Decision Network Analysis

Map causal relationships between themes, decisions, and measurable outcomes.

Hallucination‑Resistant AI

Constrained code generation ensures insights remain grounded in actual evidence.

Partner With Us

Let’s solve your toughest qualitative challenges

Work directly with Dr. Katz and our research team to deliver defendable, traceable analysis that withstands scrutiny.

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