Hi, I’m David, devoting my past 8 years to AI for Product-Market Fit: Startups struggle to understand their target market, leading to poor product-market fit. AIPath provides user journey mapping and hybrid synthetic A/B testing to identify missing features customers want you to build, and autonomously update GTM and engineering assets for you. As 6 country innovation lead for EY Parthenon, I found that user journey research is so slow and expensive, over 90% of companies skip it, and is a leading indicator of failing to find product-market fit. To improve the odds and remove silos between product, marketing and sales teams to build and sell the right product, we simulate potential ICPs using your product to prioritize new feature roadmaps with 16 AI frameworks, 4 of which are proprietary from my proposed PHd. With learnings from leading AI/ML projects since 2017, we bring 4 new types of data to identify the greatest pains your users face. This speed and cost reduction to customer-centricity spots what to focus on next, for deeper product-market fit. Read more of my bio and experiences in high-profile startups, EY-Parthenon, Samsung Product Innovation Team and CGO at a public listed firm https://www.linkedin.com/in/davidisaacm/
Using AI to design better products, The 4 types of data you need for product-market fit.
Laura / Bess / Amelia
accountingshowasiasales@terrapinn.com