Who This Helps
This is for junior analysts who want to stop spinning on low-impact experiments. You have data, you have ideas, but you need a way to pick the one move that actually moves the needle. The Product Portfolio Strategy course teaches you to size bets and sequence work so you don't waste a sprint.
Mini Case
Imagine you have three experiment ideas: A (new onboarding flow), B (pricing page tweak), and C (email reminder series). You only have capacity for one this week. You run a quick bet sizing exercise from the course. A scores 8/10 on impact but 2/10 on confidence (too risky). B scores 6/10 impact and 7/10 confidence (solid but small). C scores 7/10 impact and 8/10 confidence (clear winner). You pick C. After 7 days, the email series lifts conversion by 12%. That's a win you can report with confidence.
Do This Now (5 Steps)
- List all experiment ideas on a whiteboard or doc. No filtering yet.
- For each idea, estimate impact (1-10) and confidence (1-10). Be honest.
- Multiply impact by confidence to get a priority score. Higher is better.
- Pick the top score. That's your experiment for this week.
- Ship it. Track one key metric. Report results by Friday.
Avoid These Traps
- Don't pick the flashy idea over the one with solid data. Flashy often fails.
- Don't overthink confidence. A rough guess beats no guess.
- Don't run three experiments at once. You'll learn nothing.
- Don't ignore the "kill criteria" from the Portfolio Guardrails mission. If an idea fails a basic check, drop it.
- Don't forget to document your reasoning. Future you will thank present you.
Your Win by Friday
By Friday, you will have shipped one experiment with a clear recommendation. You'll know exactly why you picked it and what you learned. That's one clean analysis, one clear move, and one step closer to being the analyst everyone trusts. Plus, you'll have a fun story to share at standup.