User & Customer Research
Delves into methods for understanding user needs, pain points, and behaviors. Sessions cover qualitative data analysis, user empathy, customer experience mapping, and various user and customer research techniques.
Viral Moments
19
Observe, don't just ask!
Adapt to user habits!
Value vs. Pain: The Test
Validation vs. Discovery
Trust your AI?
Data you already have!
Feel their pain!
Internal users are gold!
Uncover hidden reasons!
Grow from within!
AI for partnerships!
How to truly understand users?
Talk to everyone!
Basic features unknown!
Be your own user
Beyond the numbers!
Feel the user's pain.
Excel's secret power!
Retention mystery solved.
Key Quotes
3
“The data tells us 'what,' but it doesn't tell us 'why.' And there's a whole world of what they tried and didn't succeed at that we won't get from the data.”
“אנחנו אומרים שאנחנו עושים דיסקאברי, אבל תכלס אנחנו עושים ולידציה למה אנחנו חושבים.”
“The main reason is that in AI, a lot of features come out, there's a rain of capabilities constantly coming out, many of them are on Reddit and GitHub, and these are places I really try to be in today, but there's no denying, my researcher or very studious developer is there a thousand times more than me and I need him to understand the users so that when he sees an opportunity he knows to tell me, Lior, 1.3 came out.”
Chapters
57
Articles
3
In today's hyper-accelerated market, product managers often find themselves at a crossroads: either conduct deep, time-consuming qualitative analysis or move quickly with superficial, gut-instinct decisions. Chen Eperman Kor, Senior Product Manager at Lightrun, shares a groundbreaking approach to overcome this challenge, demonstrating how AI can revolutionize the way product teams understand user behavior and drive strategic growth.
In the competitive world of cybersecurity startups, identifying and solving genuine customer pain is paramount. Nir Loya Dahan, Co-founder and CPO of Fig, shares a compelling journey of how his team, despite years of industry expertise, had to fundamentally rethink their approach to product discovery. Their experience offers invaluable lessons for any product manager struggling to move beyond symptoms and uncover the true emotional drivers of customer needs.
In an era where artificial intelligence is rapidly transforming industries, product teams face the challenge of adapting their offerings to evolving user behaviors. Lior Sassi, a product manager at Lightricks, shares her team's journey of "rediscovery" when their established product-market fit was disrupted by the rapid advancements in AI, forcing a fundamental rethink of their creative platform.
Sessions
4
