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ARVIC · Virtual Insights Conference

September 2021 ARVIC

September 30, 20213 Sessions

This conference brings together researchers from sports media, consumer products, and entertainment to explore how UX and insights practitioners earn organizational trust, communicate findings clearly, and build durable research cultures.

Overview

The September 2021 ARVIC brought together insights and UX research practitioners from Turner Sports, Fender Musical Instruments, and Netflix to address a shared challenge: doing rigorous research is only part of the job. Getting that research used, understood, and trusted by the people who make decisions is where most of the real work happens. Across three talks, speakers drew on hands-on experience in demanding organizational environments to share what it actually takes to build influence, communicate findings, and position research as a strategic asset rather than a supporting function.

Building Research Practices in Non-Traditional Environments

Two talks dealt directly with the challenge of doing UX and insights work inside organizations that were not originally built around research. In sports media, a century of broadcast history means entrenched metrics and workflows that take sustained education and relationship-building to shift. Low UX maturity, not lack of value, is what keeps research roles rare in traditional media. The same dynamic shows up in consumer products, where a data-driven culture can easily become one where data is used to validate decisions already made rather than to lead strategy.

  • Invest in cross-functional relationships before findings land, not after. Stakeholders who have skin in the game are far less likely to dismiss results.
  • Sustained education and visibility, not a single strong deliverable, is what shifts organizational culture over time.
  • For researchers watching growth areas like sports, entertainment, and gaming, the window to position yourself ahead of rising demand is now.

Communicating Findings So They Drive Action

A consistent thread across the conference was the gap between a finding that is technically present in a report and one that actually prompts a decision. Speakers offered concrete techniques for closing that gap.

  • Convert percentages to whole numbers when the raw count makes the scale of a problem more visceral. Abstract rates rarely trigger action; a concrete count of real customers often does.
  • Surface buried insights explicitly. A finding that appears third on a list and sits behind another percentage will be ignored, even if it is the most actionable thing in the deck.
  • Frame every data point as customer feedback. Helping colleagues understand that each number represents a real person telling the company something is the most reliable foundation for a data-led culture.
  • Resist over-ordering your outputs. Clean categories can erase the messiest, most important signals. Name what does not fit rather than cutting it to make the story tidy.

Operating Effectively Inside the Organization

Several talks argued that roughly 80% of a researcher's real work is internal: understanding stakeholders, learning their language, and presenting findings in forms those stakeholders can actually use. This reframe has practical implications for how researchers spend their time and how they think about their own role.

  • Treat your internal environment as a research project. Identify who your stakeholders are, what problems they are solving, and what data formats they trust.
  • Read org charts as relational maps, not just reporting structures. They show who is close to whom and how the organization itself organizes its thinking.
  • A rough first draft shared early invites collaborators to take ownership. Starting with something concrete, even something imperfect, moves a group forward faster than waiting for the right answer.
  • Suppress assumptions before reaching conclusions. Surveying inactive users in one case revealed a diverse mix of player types and barriers, not the duplicate accounts or product rejection the team initially suspected, and opened several distinct intervention strategies.

Domain-Specific Research Craft

One talk offered a close look at the operational and methodological demands specific to sports media research, with lessons that apply more broadly to any time-constrained or high-context research environment.

  • Compressed fielding windows demand advance planning and concurrent workstreams. In sports, the usable research window around a major property can be as short as 20 days.
  • Scenario specificity keeps participants engaged and responses reliable. Including plausible contextual details in prompts and prototypes prevents inconsistencies that derail sessions.
  • High-passion domains often yield motivated, low-attrition study participants, an operational advantage worth factoring into research design.

Breaking Into Competitive and Niche Roles

Multiple speakers touched on career positioning, with advice grounded in how hiring actually works rather than how candidates typically approach it.

  • Cover letters matter more than resumes for niche roles. Articulating how past experience maps to a specific business problem, and demonstrating stakeholder awareness, sets candidates apart more than credentials alone.
  • Learn the language of your target employer before writing a word of your application. Informational interviews are the fastest way to surface the specific words and framings that signal fit.
  • Shift the interview frame from proving competence to demonstrating that you can help this team solve its specific problem.
The Sessions

Presentations

3 Sessions
Humanizing the Numbers: How Fender Uses Customer Storytelling to Drive a Data-Driven Culture01

Humanizing the Numbers: How Fender Uses Customer Storytelling to Drive a Data-Driven Culture

Cliff Kim, Director of Insights and Analytics at Fender Musical Instruments, shares how his team transforms raw analytics into customer stories that drive action across the organization. Using examples from Fender Play, the company's online guitar learning platform, he presents four practical techniques for helping stakeholders see the real people behind the data. The talk is grounded in the challenge of instilling a genuinely data-driven culture, rather than one where data is used to validate decisions already made.

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