Who This Helps
You're a team lead who wants to scale a repeatable analytics routine. You've got a list of experiments, but picking the next one feels like a coin flip. The Product Portfolio Strategy course gives you a simple framework: size bets, sequence work, and keep everyone aligned. No more random prioritization.
Mini Case
Imagine your team has three experiments on the table. One could boost retention by 12%, another might save 7 days of dev time, and the third is a wild guess. Using the "Bet Sizing" mission from the course, you assign rough confidence scores and effort estimates. The retention bet wins—high confidence, medium effort. You focus there first. Result? A 12% lift in 3 weeks.
Do This Now (5 Steps)
- List your next 5 experiments. Write them down on a whiteboard or a doc. No filtering yet.
- Size each bet. For each experiment, estimate effort (hours or days) and potential impact (low, medium, high). Be honest.
- Add confidence scores. Rate how sure you are about the impact: 1 (wild guess) to 5 (data-backed).
- Pick the winner. Choose the experiment with the highest impact-to-effort ratio and a confidence score of 3 or more.
- Assign one owner. That person drives the experiment to completion this week. No shared ownership.
Avoid These Traps
- Falling in love with a shiny idea. Just because it's exciting doesn't mean it's high impact. Let the numbers guide you.
- Skipping the confidence score. Without it, you're guessing. A low-confidence bet might waste your team's time.
- Trying to do everything at once. Focus on one experiment per sprint. Multitasking kills momentum.
- Ignoring the "Kill Criteria" mission. If an experiment isn't working after a set time, kill it. Don't let it drag on.
Your Win by Friday
By Friday, your team will have one clear experiment to run. You'll know why it's the right choice, and everyone will be aligned. That's a win. And hey, you'll look like a prioritization wizard without the magic wand.