About
Dan Mamut is a New York native creative strategist working at the intersection of research communication, editorial systems, and content operations. Over nine years, he has embedded inside the institutions where communication breaks down such as broadcast newsrooms, enterprise research teams, and product development pipelines and built the systems that make complex information actionable.
At AnswerLab, he translated UX research findings into executive communication systems for clients including Meta, Google, and LinkedIn building the visual frameworks, segmentation architectures, and stakeholder-facing deliverables that moved research from session notes to product decisions. Before that, at ABC News, he rebuilt content workflows for a Facebook Watch series that grew its audience, managing production operations across broadcast, digital, and social distribution simultaneously.
The work is always the same problem in different forms: information that matters but isn't being heard. The strategic question is never "what should we say?" but "what format makes this possible to act on?"
His practice draws on communication design, qualitative research translation, narrative architecture, and AI-assisted content operations with a methodology that treats clarity as a structural problem, not a stylistic one.
Currently available for: Creative operations consulting, research communication, content strategy, and editorial systems.
Engagement models: project-based, embedded, and retainer arrangements available.
Based in New York City. Working globally.

How I Work
Most of my work begins with synthesis.
I’m interested in how communication breaks down between teams, audiences, platforms, and ideas,
especially when information becomes too fragmented, technical, or abstract to use effectively.
My process focuses on structuring information into clearer systems, narratives, and communication frameworks that can scale across different audiences and organizational contexts.
Depending on the project, that may involve presentation systems, audience frameworks, editorial communication, concept development, AI assisted workflows, or cross platform narrative design.
The goal is usually the same: making complex information easier to understand, adapt, and act on.

Research
Communication
Translating qualitative and behavioral research into executive-facing communication systems, stakeholder presentations, and segmentation frameworks.

Editorial
Systems
Designing content workflows, narrative architectures, and publication systems for organizations operating at scale.

Content
Strategy
Audience analysis, distribution strategy, and editorial planning for digital, social, and broadcast contexts.

Communication
Design
Visual systems for information that needs to be understood, not just seen from data visualization to product storytelling.