Who This Helps
You're a team lead who wants to scale a repeatable analytics routine. You have a list of experiments, but you're not sure which one to run first. The Product Portfolio Strategy course helps you size bets and sequence work so you stop guessing and start moving.
Mini Case
Imagine your team has three experiments on the table. One could boost conversion by 12%, another might reduce churn by 8%, and the third is a wild idea with unknown impact. Without a clear priority, you'd waste 7 days debating. Instead, you use bet sizing from the course: assign rough confidence and effort to each. The conversion experiment wins because it has high confidence and low effort. You run it in 3 steps: define the metric, set a threshold, and launch.
Do This Now (5 Steps)
- List your experiments. Write down every idea your team has right now. No filtering yet.
- Size each bet. For each experiment, estimate effort (hours) and confidence (low, medium, high). Use the Bet Sizing mission from the course.
- Rank by impact. Multiply confidence by potential outcome. Pick the top one.
- Set a kill criteria. Define what would make you stop the experiment early. This comes from the Kill Criteria mission.
- Assign one owner. One person drives the experiment. No shared ownership.
Avoid These Traps
- Chasing shiny ideas. Just because an experiment sounds fun doesn't mean it's high-impact. Stick to your sizing.
- Overthinking confidence. You don't need perfect data. A rough guess is fine to start.
- Running too many at once. Focus on one experiment per sprint. Multitasking kills momentum.
- Ignoring the portfolio. Your experiments are part of a bigger picture. Use the Portfolio Map to see how they fit.
Your Win by Friday
By Friday, you'll have one experiment prioritized and ready to launch. Your team will know exactly what to work on next. And you'll have a repeatable routine for future decisions. That's a win you can feel good about.