Who This Helps
This is for you, Junior Analyst. You have data, but you're not sure which experiment to run next. You want to ship clean analysis with clear recommendations. The Product Portfolio Strategy course helps you size bets and sequence work.
Mini Case
Imagine you have three experiments on your desk. Experiment A could boost retention by 12%. Experiment B might increase sign-ups by 8%. Experiment C is a wild guess. You have only one week to run one test. Which do you pick? Most analysts pick the biggest number. But that's a trap. You need to prioritize based on confidence and effort, not just potential impact.
Do This Now (5 Steps)
- List your experiments. Write down every idea you have. No judgment yet.
- Rate each on impact. Use a simple scale: low, medium, high. Be honest.
- Rate each on confidence. How sure are you this will work? Low, medium, high.
- Rate each on effort. How many hours will it take? Low, medium, high.
- Pick the experiment with high impact, high confidence, and low effort. That's your winner. Run it first.
Avoid These Traps
- Chasing the biggest number. A 12% lift sounds great, but if confidence is low, you might waste time.
- Ignoring effort. A 3-step experiment that takes 7 days might be too slow. Pick something you can finish by Friday.
- Analysis paralysis. Don't overthink. Use the simple scale above. Ship it.
Your Win by Friday
By Friday, you will have run one experiment with a clear recommendation. You'll have a clean analysis and a decision. That's a win. And hey, you might even have time for coffee.