Metrics That Matter: Turning Experiments Into Impact With the H-SCALE Framework
Session Description
Great innovation isn’t defined by how fast we build—but by how effectively we learn.
In this session, Anil Pantangi introduces H-SCALE, a practical and adaptable framework that helps teams move from intuition to evidence, and from experimentation to measurable impact. As AI and rapid digital transformation reshape how products, learning environments, and experiences are built, educators and innovators face increasing pressure to deliver outcomes—not just ideas.
H-SCALE provides a clear path forward.
Participants will learn how to:
Form strong, testable hypotheses
Identify meaningful signals and success metrics
Design small, effective experiments that compound learning
Connect experimentation directly to real-world outcomes
The session also introduces the Three Fs Model — Flow, Friction, and Feedback—a lens for understanding and measuring experience quality from multiple perspectives. Rather than linear delivery, the framework emphasizes learning loops, helping teams continuously refine decisions based on insight, not assumptions.
Attendees will leave with a practical toolkit they can apply immediately across classrooms, labs, startups, and innovation teams. The goal is simple: build a culture where experimentation is disciplined, metrics are insightful, and learning becomes the engine of progress.
👥 Who This Session Is For
This session is ideal for:
Innovators & builders
Product managers (PMs)
Students and early-career professionals
Educators and general audiences interested in experimentation, metrics, and impact-driven innovation
🎤 Speaker Bio : Anil Pantangi | LinkedIn
Anil Pantangi is an award-winning global product and technology leader with 15+ years of experience designing and scaling enterprise platforms and consumer-grade products. He specializes in translating complex AI/ML capabilities—including conversational search, recommendation systems, and Generative AI—into tangible business outcomes.
A proven leader of high-performing teams, Anil has driven data- and AI-powered advancements across marketing, sales, talent development, and customer care platforms in the telecom, media, and ed-tech sectors. He has been recognized as a “Top AI 75” honoree, with thought leadership acknowledged globally.
Anil is an official member of the Forbes Technology Council, where he contributes expert opinion pieces and industry insights. He also serves as a Fellow and Board Member in organizations advancing technology and responsible AI adoption, and is deeply passionate about mentoring the next generation of innovators in product management and AI.