What I learned this week: building a freelance BI practice in public

Six months into freelancing as a data consultant, and this week had some useful reminders.

Three things kept coming up across client calls and community conversations:

Trust is sold before the proposal lands. Every founder who hired me this year had already seen me explain something — a LinkedIn post, a YouTube video, a community comment. They didn't discover me and then hire me. They hired me after months of low-stakes exposure. Cold outreach has nearly zero ROI in consulting.

Good data fundamentals are rarer than good tools. I keep seeing teams with expensive BI setups — Power BI, dbt, Snowflake — and no proper star schema underneath. The tool isn't the problem. The foundations are. This is a huge opportunity for anyone who can teach this stuff.

Proposals that win answer one unasked question. "What happens if this goes wrong?" The clients I've retained long-term are the ones where I addressed risk management before they asked. Scope, escalation path, what I won't do — all in writing.

This is the kind of stuff that took me years to figure out the hard way. I've been documenting it into a playbook for data freelancers — the pricing, proposals, and onboarding pieces that actually work: https://growthwithshehroz.gumroad.com/l/cpfja

What's the one thing you wish you'd known before landing your first freelance client?