Gilad Livnat | monday | Focus vs. all the noise. A down-to-earth conversation - Product Builder Podcast episode with Eyal David
Updated: 00:50:34

Gilad Livnat | monday | Focus vs. all the noise. A down-to-earth conversation

Host: · Guest: Gilad Livnat · About the host

Gilad Livnat, a product manager at monday in London with a data background from eBay, argues that a good product manager rests on two things: focus, meaning knowing what the product does and what it does not do, and communication. To hold focus he turns emotional requests from salespeople into tagged data, starts every morning with a half-hour data review, and challenges his own assumptions with a separate AI thread where he asks questions as if his assumption were the complete opposite.

In this episode

  • Focus means knowing what the product does not do: when a hot new idea arrives after you have set strategy, the immediate result is a confused team, so you need to say no without antagonism and explain why.
  • Turn a salesperson's emotional request into data: transcribe the call, tag the signals alongside customer data (ARR, industry, segment), and check whether it is a trend or an outlier.
  • To avoid falling for your assumptions, open another thread with your AI tool and ask questions as if your assumption were the complete opposite. That surfaces signals and evidence for a different truth.
  • A half-hour data review every morning, in time no meeting can override, frames the whole day and helps you decide whether an urgent request really is the most important thing.
  • A duct-tape solution that addresses the customer's biggest problem beats a heavy technical one: for Iron Dome, someone simply logged every launch and interception, and within days it became a decision-making tool.
  • Sessions where each team member teaches the others a professional topic improve communication, spark curiosity and get people outside their own boundaries.

Episode Description

Gilad Livnat started as a data engineer at eBay, was given a machine learning product to lead there, and has since moved between startups, consulting and his current role at monday in London. In a conversation recorded over Passover, he explains why focus and communication are the two key skills, how precise segmentation shapes every customer interview, and how to build a process with salespeople that transcribes calls, tags signals and separates a trend from an outlier. He shares how ChatGPT helped him discover two jobs to be done he did not know about, how during Operation Protective Edge he built an Iron Dome data dashboard from scratch that reached the Air Force commander and the prime minister, and what he learned building an internal product at eBay. He closes with two tools for team growth, development goals in one-on-ones and peer-learning sessions, and talks about the CPO series he leads on the Mutzarella podcast.

Chapters

  1. 0:00 · Intro
  2. 1:22 · From eBay to London and monday
  3. 3:53 · The two skills: focus and communication
  4. 4:34 · Segmentation: the example from the edtech startup
  5. 8:13 · A process with salespeople that produces data
  6. 12:16 · A data review every morning
  7. 14:29 · Trends, AI and the customer's real problem
  8. 17:06 · Market research with ChatGPT and NotebookLM
  9. 19:32 · Challenging assumptions: ask as if the assumption were reversed
  10. 24:53 · Iron Dome: a data dashboard from scratch during Protective Edge
  11. 30:41 · When founders arrive with the solution already in hand
  12. 34:47 · Onboarding, context and humility toward the user
  13. 36:30 · 0 to 1 for an internal product at eBay
  14. 39:50 · Where marketplaces are heading
  15. 41:43 · Growing the team: development goals and peer-learning sessions
  16. 44:31 · Mutzarella and the CPO series
  17. 48:50 · Financial independence and wrap-up
Read the full transcript
Full transcript with speakers and timestamps

Selected quotes

“A good product manager must hold focus, meaning he needs to understand very well what his product does and what his product doesn't do.”
— Gilad Livnat
“Your customer's problem doesn't change at the speed of trends.”
— Gilad Livnat
“As product managers we've become much less researchers and more people who digest a lot of material.”
— Gilad Livnat

Questions & answers

Who is Gilad Livnat?

A product manager at monday's London office with a data background. He started as a data engineer at eBay in Israel in 2014, led a machine learning product there, worked at RiseUp and Soluto among others, founded an education tech startup in London, and hosts the CPO series on the Mutzarella podcast.

What are the two most important skills for a product manager, according to Gilad?

Focus and communication. Focus is a deep understanding of what the product does and does not do, which carries into strategy, segmentation and customer interviews. Communication is the ability to convey that to everyone, from developers and designers to management and customers.

How do you build a process with salespeople that does not hurt focus?

Ask for quantitative data, not just a story. Transcribe call summaries, extract insights and tags, and centralize them in a database together with customer data. Then you can see with the salesperson whether the request is an outlier, something already planned, or a real trend.

How can AI be used to challenge assumptions in user research?

Open a separate thread with the AI tool and ask questions as if your assumption were reversed, or ask for a report that is the opposite of the previous one. This is how Gilad found two painful jobs to be done his customers had that he did not know about.

What can we learn from Gilad's Iron Dome story?

That you first need to understand the customer's biggest problem, in this case total blindness to data, and start with a simple solution even if it is not scalable. Manually logging launches and interceptions turned within days into a dashboard that influenced decisions at the national level.

People & resources mentioned

Companies & orgs

Tools

  • ChatGPT
  • NotebookLM
  • Llama
  • TeamViewer
  • Excel
  • Python
  • R
Focus Communication Segmentation User Research Data Jobs to be Done AI Sales