Who This Helps
You're a team lead who wants to scale a repeatable analytics routine. You have more ideas than time, and you need a way to pick the next experiment without second-guessing. The Product Portfolio Strategy course gives you a simple framework: size each bet, rank by confidence, and move on.
Mini Case
Imagine your team has three potential experiments: a new onboarding flow, a pricing tweak, and a referral program. You run a quick bet-sizing session from the course. The onboarding flow scores high on impact but low on confidence (only 30% sure it works). The pricing tweak scores medium on both. The referral program scores high on confidence (80%) but low on impact. You pick the pricing tweak first because it balances risk and reward. Result: 12% lift in conversions in 7 days. Your team stops guessing and starts winning.
Do This Now (5 Steps)
- List all active experiments and ideas on a whiteboard.
- For each, estimate potential impact (1-10) and your confidence (1-10).
- Multiply impact by confidence to get a priority score.
- Sort by score descending. Pick the top one for this week.
- Assign one person to run the experiment and report back by Friday.
Avoid These Traps
- Don't chase the shiniest idea. Stick to the score.
- Don't overthink confidence. A rough guess beats no guess.
- Don't run more than two experiments at once. Split focus kills results.
- Don't ignore low-confidence bets. They can teach you fast.
- Don't skip the kill criteria from the Portfolio Guardrails mission. Know when to stop.
Your Win by Friday
By Friday, you'll have one experiment running, one person accountable, and a clear reason why you chose it. Your team will feel focused, not frantic. And you'll have a repeatable routine for next week. That's the kind of win that makes Monday mornings fun.