EP 151 - Gender Based Data Analytics with Lea Khasidi

We’re excited to welcome Lea Khasidi, product management freelancer, founder and CEO of MaPott, and soon‑to‑be author, for a powerful conversation on gender-based data analytics for product managers.

Lea shares her journey from intelligence work in the IDF, through product roles in EdTech, cybersecurity, and beyond, to founding a health management app for women with chronic conditions. Along the way, one pivotal discovery while consolidating four cybersecurity platforms, seeing men and women use the same filtering feature in completely different ways, sparked her deep focus on how gender shapes behavior in our products, especially in B2B contexts where it’s often ignored.

Join Matt and Moshe as they explore with Lea:How a real-world analytics puzzle revealed stark gender differences in workflow, and changed how she thinks about usage data

The three pillars of context we can’t change (who users are, how they act, where they work) and the one we can: what we give them in the product

How “hacks” and workarounds used by different genders can hint at your next features

A practical system for existing products: using analytics to segment by gender, spotting behavioral differences, then following up with observation and interviews

How to approach gender representation when validating new products, and why balanced samples matter even for seemingly “neutral” tools

Ways to lean on existing research about gender patterns in your domain (health, education, finance, etc.) instead of guessing from scratch

Why early-stage startups should ship faster and learn from usage, while mature products might rely more on A/B tests and targeted outreach

The risk of building solely from our own biases and assumptions, and why gender should be on the PM checklist, even if it’s not always the first lens

Lea’s upcoming book on gender-based analytics for PMs

One piece of advice she has for founders learning to trust their insight while staying open to the data