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Tue, Jul 02

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AI for Strategy - One Hour Hackathon #3

Great strategy takes time, and with AI, it takes no time at all. Comprehensive scenario modelling of the greatest opportunity available, that is aligned to your capability, helps you with clarity on next steps to product-market fit.

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AI for Strategy - One Hour Hackathon #3
AI for Strategy - One Hour Hackathon #3

Time & Location

Jul 02, 2024, 5:00 PM – 6:30 PM GMT+8

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Guests

About the event

Go beyond traditional mentor consultations and 1:1 advice; Leave this session with actual product strategy, growth experiments and positioning insights to get you to product-market fit.

Join David Isaac for a focused One Hour Hackathon, leveraging AIPath’s advanced tools to boost your strategy and product development. With extensive experience as ASEAN Head of Innovation for EY-Parthenon and in leading venture building as Chief Growth Officer for a publicly listed company, David will guide you through:

  • AI-Driven Strategy: Discover how AIPath's tools can refine your market strategy.
  • Immediate Action: Generate actionable insights and experiments you can launch immediately.
  • Real Impact: Learn techniques to enhance your product’s market fit and strategic positioning.

AIPath can effectively help startups weave together four types of data to enhance their path to product-market fit:

  1. Synthetic Data Usage: AIPath employs synthetic data to simulate a wide range of scenarios, hypotheses, and customer interactions that would be challenging for founders to generate independently. This data underpins the initial phases of customer journey mapping, pinpoints potential pain points, and identifies missing features that could be pivotal.
  2. Founder-Augmented Data: Following the synthetic analysis, founders can apply their unique insights and real-world data to refine these models. This step ensures that the synthetic data aligns more closely with actual market conditions and the startup's strategic objectives.
  3. Qualitative Market Feedback: By leveraging tailored interview questions developed through AIPath, startups can gather valuable qualitative feedback. This step is crucial for validating the risks associated with proposed features and for further uncovering what might be missing from the current product strategy.
  4. Scaled In-Market Testing:Finally, AIPath facilitates scaled A/B testing, allowing startups to measure the effectiveness of different features and marketing strategies. This robust testing framework helps to confirm which features are most impactful and which target niches yield the highest conversion rates, thereby fine-tuning the approach to product-market fit.

Join the event tomorrow to see how AI brainstorming allows you to automate virtual UX research assistants that help you refine what to build now, next or never.

About David Isaac

David Isaac is a seasoned innovation leader with a solid background in driving growth and strategy. Formerly the ASEAN Head of Innovation for EY-Parthenon, David has launched successful venture building teams forBig 4 consultancies and a publicly listed company.

At AIPath, he uses AI to help teams identify rapid paths to product-market fit and strategic clarity, delivering practical insights and tools for immediate business impact. Join David to unlock the potential of AI in your strategic planning.

https://www.linkedin.com/in/davidisaacm/ 

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