Build a Simple GTM Dashboard to Track Product Adoption

Hosted by Manu Jayawardana and Aki Wijesundara, PhD

Sat, Mar 21, 2026

10:00 PM UTC (30 minutes)

Virtual (Zoom)

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GTM for Product Managers & Executives
Manu Jayawardana and Aki Wijesundara, PhD
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What you'll learn

The key product adoption metrics every PM should track

Activation, usage, retention, and expansion.

How to turn messy product data into a simple GTM dashboard

A practical structure you can build quickly in tools like Sheets or BI tools.

How product, marketing, and growth teams use the dashboard

Align teams around the metrics that actually show adoption.

A repeatable dashboard template you can reuse

Track launches, experiments, and feature adoption in one place.

Why this topic matters

Many teams launch features but struggle to understand whether users are actually adopting them. A clear GTM dashboard helps product teams quickly see what’s working, what’s not, and where to focus next.

You'll learn from

Manu Jayawardana

AI Founder | 35K-User Fintech Exit | Co-Founder Snapdrum | Trained 5,000+

Manu Jayawardana is an AI founder and systems builder focused on helping companies apply AI in the real world.

He previously built and exited Rise AI, a fintech platform used by 35,000+ investors, and is the co-founder of Snapdrum, an AI consultancy helping organizations deploy AI across growth, operations, and product workflows.

Through Snapdrum programs and courses, Manu and his team have trained 5,000+ professionals worldwide in practical AI systems, automation, and AI-driven growth.

Manu’s work focuses on turning AI from experimentation into real systems that drive revenue, efficiency, and competitive advantage.

Currently, Manu is the Co-Founder & CEO of Krybe, an AI voice agent startup in London transforming how businesses automate customer interactions. His experience spans fundraising, scaling products, and leading teams to deliver production-grade AI solutions adopted globally.

Career highlights

  • Co-Founder of Snapdrum — builds production-ready AI systems for Fortune 500s, YC startups, and global Series A–C companies.
  • Exited Founder of Rise AI — created an AI investment copilot used by 35,000+ users worldwide.
  • Co-Founder of Krybe — ultra-realistic voice AI platform with 1000+ users and part of the NVIDIA Inception Program.
  • Creator of the #1 ranked Investment GPT on the OpenAI Store with 30,000+ users.
  • Built and scaled 10+ companies across AI, SaaS, analytics, and EdTech, including a B2B analytics product that grew 10× in one year.
  • Former Entrepreneur First Unlock Fellow, selected for high-potential AI founders.


Aki Wijesundara, PhD

AI Founder | Educator | Google AI Accelerator Alum

Aki Wijesundara is an AI leader with a PhD in Machine Learning and extensive experience mentoring startups at Google’s AI Accelerator. With a career spanning both research and applied AI, Aki has taught 5,000+ students worldwide how to design and deploy production-ready AI systems.

He has worked across cutting-edge areas of applied AI, from LangChain and RAG pipelines to observability and large-scale deployment. As a researcher and educator, Aki bridges the gap between theory and practice, making complex systems approachable and actionable for engineers, founders, and product leaders.

Aki is also a frequent speaker and advisor to organizations adopting AI, helping them transition from experimentation to production at scale.


Career Highlights

  • Ex–Google AI Accelerator researcher focused on responsible AI and applied ML.
  • PhD in AI & Cognitive Systems with published research across top universities.
  • Former researcher with teams affiliated with MIT, University of Oxford, & King’s College London.
  • Co-founder of Snapdrum — delivered AI systems for finance, education, and healthcare.
  • Built and deployed AI product pipelines used by PMs, startups, and enterprise teams.
  • Instructor for multiple AI builder programs, helping 500+ professionals ship AI features fast.


Previous Students from

Boston Consulting Group (BCG)
OpenAI
Meta
NVIDIA
Amazon Web Services

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