Who This Helps
This is for junior analysts who need to ship clean analysis with clear recommendations. It’s part of the Founder Finance Basics Mission Pack, which helps you understand unit economics, runway, and reporting to make calm founder decisions. If revenue is up but cash is flat, this is your move.
Mini Case
Ben’s team was debating two experiments: a new ad channel or a pricing test. The ad channel had a projected 15% conversion lift, but the pricing test could improve gross margin by 8%. By building a quick unit economics snapshot, they saw the pricing test would add $12k more to monthly profit with the same effort. They ran that one first. It worked, and they had the numbers to prove why.
Do This Now (5 Steps)
- Grab last month’s core numbers: revenue, cost of goods sold (COGS), and marketing spend.
- Calculate your core unit economics: Customer Acquisition Cost (CAC) and gross margin per customer.
- List your top 3 potential next experiments (like a new channel or a feature test).
- For each experiment, estimate its impact on one key unit economic number (e.g., improves margin by 5% or cuts CAC by $10).
- Rank them by the estimated profit impact. The one at the top is your next priority. Seriously, just pick it.
Avoid These Traps
- Don’t prioritize based on what’s easiest to set up. Impact beats speed.
- Avoid analysis paralysis. Use your best estimates; you can refine them later.
- Don’t ignore existing customer value. A retention experiment often beats a flashy new acquisition test.
- Stop chasing vanity metrics. Focus on profit, not just top-line revenue.
- Never present a recommendation without the unit economics logic behind it.
- Don’t skip the ‘so what.’ Always link the experiment back to a core business number.
- Avoid working in a vacuum. Share your snapshot with one teammate for a quick gut-check.
- Don’t let perfect data be the enemy of a good decision. Use what you have now.
Your Win by Friday
By Friday, you’ll have a one-page unit economics truth—just like the ‘Unit Economics Snapshot’ mission in the course. You’ll know which single experiment to run next and exactly why it’s the best use of your time. You’ll walk into planning with a clear, confident recommendation. Go be the analyst who brings focus, not just data.