Experimentation: What Actually Drives Fan Engagement
We treated fan engagement as a series of testable hypotheses—not assumptions.
To do this, I introduced a continuous learning system that validated ideas in real time and fed insights directly into product decisions.
Platform: Web / Media Platforms / Social Distribution
Date: 2025
Experiment 1: Can Continuous Feedback Outperform Static Research?
Hypothesis:
Continuous user insight can guide better product decisions than static research cycles.
How the Learning System Worked
What we tested:
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Introduced a real-time feedback loop using fan behavior signals
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Connected engagement data directly to product iteration cycles
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Replaced static research cycles with continuous insight capture
What we learned:
Real-time behavioral data outperformed traditional research—enabling faster, more confident decisions during live engagement moments.
What changed:
Embedded learning directly into product development (not post-launch).
My Role & Ownership
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Led product direction and system design for real-time fan engagement
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Architected a Reels-based platform for content creation and distribution
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Built scalable workflows enabling vendors to create, manage, and publish short-form sports content across platforms
"After establishing a continuous learning system, the next question was how content format impacts engagement."
Experiment 2: Do Social-Native Formats Outperform Traditional Highlights?
Hypothesis:
Social-native, short-form formats (Reels) will outperform traditional highlight distribution.
How the Distribution System Worked
What we tested:
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Built a Reels-based distribution system designed for social-native publishing
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Structured content workflows around platform behaviors (speed, format, frequency)
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Prioritized vertical video and short-form storytelling for real-time engagement
What we learned:
Platform-native formats significantly outperformed repurposed content—driving higher engagement during live moments.
What changed:
We shifted product strategy to a social-first sports distribution model—prioritizing platform-native content over traditional highlight pipelines.
My Role & Ownership
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Defined product strategy for social-first content distribution across real-time fan engagement systems
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Led the design and architecture of a Reels-based platform optimized for social ecosystems
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Built scalable vendor workflows aligned to platform-native publishing behaviors
"Once we understood what content formats drive engagement, the next question was how quickly we could deliver them in real time."
Experiment 3: Content Velocity vs Engagement
Hypothesis:
Does Faster Content Delivery Increase Engagement?
Distribution SaaS
What we tested:
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Re-architected vendor publishing workflows to enable real-time content distribution
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Reduced friction across the creation → approval → publishing pipeline
What we learned:
Engagement is highly time-sensitive—content delivered during live moments significantly outperformed delayed publishing.
What changed:
Shifted product strategy toward real-time, social-first distribution—prioritizing speed, simplicity, and publish-time efficiency across the platform.
My Role & Ownership
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Owned product direction for real-time fan engagement—leading the design and architecture of a Reels-based sports distribution platform
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Built scalable vendor workflows enabling partners to create, manage, and publish short-form sports content across social ecosystems
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Translated engagement insights into product decisions—connecting content velocity, format, and distribution into a unified system
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Established a real-time content delivery system that aligned product, content, and distribution around engagement-driven outcomes
The Challenge
Enabling real-time content creation and distribution at scale
Before scaling content creation and distribution, I needed to understand what actually drives engagement.
Instead of relying on assumptions, I introduced a Customer Lean Design Partner program—bringing real users directly into the product development process from day one.
This created a continuous learning system that allowed us to test ideas in real time and feed insights directly into product decisions.
What This Enabled
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From the program (based on your page 2 breakdown):
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Validated personas, workflows, and vendor needs early
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Reduced product risk before full-scale rollout
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Built stronger relationships with partners and stakeholders
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Accelerated alignment across Product, Design, Sales, and Marketing
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Created a feedback-driven roadmap instead of assumption-driven
From Framework → Real Product Impact
This wasn’t just research—it directly influenced the product:
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Informed the design of the Reels + Widget marketplace workflows
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Shaped how vendors onboard, configure, and publish content
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Enabled faster iteration cycles through rapid prototyping
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Helped define what should ship in V1 vs. V2
Connecting to the Bigger System (Fan Engagement)
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The insights from this program fed directly into a broader Game Day Engagement Framework:
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Pre-game → build anticipation
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Live → real-time interaction
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Post-game → retention and continued engagement
