Who This Helps
This is for product managers who want to turn product questions into measurable decisions. If you have a list of possible experiments but no clear way to pick one, this will help you focus effort on the highest-impact move.
Mini Case
Meet Sofia, a product manager at a subscription box company. Her team had three experiment ideas: test a new offer, try a different creative angle, or optimize the landing page. They debated for weeks. Sofia used a simple prioritization method from the Channel Basics: Offers & Creative course. She scored each idea on impact (expected metric lift) and effort (time to run). The offer test scored highest: 15% potential lift in conversion with 5 days of work. The creative angle test scored 8% lift with 3 days. The landing page fix scored 5% lift with 2 days. She picked the offer test. It boosted conversion by 12% in one week.
Do This Now (5 Steps)
- List your experiment ideas. Write down every product question you want to test. For example, "Will a free trial offer increase sign-ups?"
- Estimate impact. For each idea, guess the potential metric improvement. Use past data or a simple range like low (5%), medium (10%), high (15%).
- Estimate effort. How many days or hours will it take to run the experiment? Be realistic. A simple A/B test might take 3 days. A complex one might take 10.
- Score each idea. Divide impact by effort. The higher the score, the better. For Sofia, the offer test scored 3.0 (15% / 5 days). The creative test scored 2.7 (8% / 3 days). The landing page scored 2.5 (5% / 2 days).
- Pick the top scorer. Run that experiment first. Commit to it for one week. No second-guessing.
Avoid These Traps
- Don't overthink impact estimates. A rough guess is better than no guess. You can adjust later.
- Don't pick the easiest experiment. Low effort doesn't mean high impact. Sofia's easiest option was the landing page, but it had the lowest potential.
- Don't run multiple experiments at once. You won't know which change caused the result. Focus on one.
- Don't ignore guardrails. Set a minimum sample size or time window before you start. For example, run the test for at least 7 days.
- Don't skip the measurement plan. Use the Measurement Basics mission from the course to define your metric and guardrail.
Your Win by Friday
By Friday, you will have a prioritized experiment list with one clear winner to run next week. You'll stop debating and start learning. That's a win. And honestly, it feels great to finally pick something and move forward.