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SE-EOS KNOWLEDGE LIBRARY
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DOCUMENT
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PEL – User Intelligence Organization
VERSION
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1.0
KNOWLEDGE TYPE
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Project Evidence Library
STATUS
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Canonical
PURPOSE
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This document serves as the canonical record of Sean Endler’s
creation and leadership of the User Intelligence organization at
Nexstar Digital.
Rather than describing a department or reporting function, this
library documents the strategy, operating model, organizational
design, methodologies, executive influence, and long-term impact
of establishing User Intelligence as a strategic capability across
one of the nation’s largest digital media organizations.
All resumes, executive biographies, consulting materials,
portfolio content, interview responses, and AI-generated
materials should reference this document when discussing Sean’s
experience building research, analytics, and customer insight
organizations.
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PROJECT OVERVIEW
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Project
User Intelligence Organization
Organization
Nexstar Digital
Role
Head of User Intelligence
Industry
Digital Media
Enterprise Analytics
Research Operations
Status
Successfully Established
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EXECUTIVE SUMMARY
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Sean conceived, established, and led the User Intelligence
organization at Nexstar Digital, transforming customer research,
behavioral analytics, experimentation, and audience insight into
a unified executive capability.
Rather than operating as a traditional analytics team, User
Intelligence functioned as an enterprise decision-support
organization, enabling executives, product managers, editorial
leaders, and engineering teams to make customer-centered
strategic decisions based on evidence rather than assumptions.
The organization became an essential partner across Nexstar’s
portfolio of more than 125 local television stations, national
media initiatives, and digital products.
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STRATEGIC CHALLENGE
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Research, analytics, and customer feedback existed in multiple
silos across the organization.
Teams often relied on disconnected metrics, inconsistent
methodologies, and fragmented customer understanding.
Leadership needed a centralized capability capable of translating
data into strategic action.
The challenge was to build not simply a department, but a new
organizational discipline.
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OBJECTIVES
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Establish enterprise customer intelligence.
Standardize research methodologies.
Create repeatable insight generation.
Improve executive decision making.
Increase customer-centered product development.
Support innovation initiatives.
Develop scalable reporting systems.
Create organizational alignment.
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OPERATING MODEL
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Behavioral analytics.
Qualitative research.
Quantitative research.
Usability testing.
Customer interviews.
Journey mapping.
Experimentation.
Executive dashboards.
Strategic consulting.
Cross-functional facilitation.
Research repository.
Knowledge sharing.
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KEY DELIVERABLES
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Enterprise research framework.
Standardized research methodologies.
Executive intelligence dashboards.
Behavioral analytics platform.
Customer insight reports.
Decision support presentations.
Audience segmentation models.
Product recommendations.
Innovation workshops.
Research operations playbook.
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BUSINESS IMPACT
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Established User Intelligence as a strategic function supporting
executive leadership.
Created a repeatable operating model for customer-centered
decision making.
Improved collaboration between editorial, product, engineering,
marketing, and executive teams.
Elevated research from tactical support to strategic influence.
Created reusable systems that continued providing value beyond
individual projects.
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EXECUTIVE COMPETENCIES DEMONSTRATED
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Organizational Design
Executive Leadership
Customer Intelligence
Research Operations
Behavioral Analytics
Cross-functional Leadership
Executive Communication
Systems Thinking
Strategic Planning
Change Management
Knowledge Management
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LEADERSHIP LESSONS
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Organizations benefit when customer understanding becomes a shared
capability rather than a specialized function.
The value of research is measured by the quality of decisions it
enables.
Executive trust is earned through clarity, consistency, and
actionable recommendations.
Successful organizations institutionalize learning.
Cross-functional collaboration requires shared evidence rather
than competing opinions.
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LONG-TERM IMPACT
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The User Intelligence organization became a foundational capability
within Nexstar, influencing product strategy, editorial
decisions, innovation initiatives, and executive planning.
The experience shaped Sean’s broader philosophy around Executive
Operating Systems, customer intelligence, organizational design,
and AI-assisted decision making.
Many principles first developed during this initiative later
became foundational components of the SE-EOS Knowledge Graph.
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COMMON INTERVIEW QUESTIONS
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How do you build a research organization from scratch?
How do you gain executive support for customer intelligence?
How should research teams influence product strategy?
How do you align multiple departments around customer insight?
How do you scale research across a large enterprise?
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RELATED KNOWLEDGE LIBRARY
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CEL – Nexstar Digital
PEL – NewsNation Launch
Executive Operating System
Customer Obsession
Systems Thinking
Leadership Philosophy
Research Playbook
Decision Framework
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AI METADATA
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Knowledge Type
Project Evidence Library
Project
User Intelligence Organization
Organization
Nexstar Digital
Category
Organizational Design
Research Operations
Customer Intelligence
Primary Competencies
Executive Leadership
Organizational Design
Customer Intelligence
Research Operations
Change Management
Evidence Strength
100 / 100
Resume Priority
Critical
Interview Priority
Critical
Consulting Priority
Critical
Canonical Status
Approved
Version
1.0