Who This Helps
You're a team lead who wants to scale a repeatable analytics routine. Your team runs experiments, but you're not sure which one to do next. This is for you if you need a simple way to prioritize without getting stuck in analysis paralysis.
Mini Case
Meet Viktor. He leads a small ops team. Last week, they ran three experiments: one on pricing, one on cost reduction, and one on customer retention. Viktor used unit economics to pick the winner. He calculated contribution margin for each option. The pricing experiment showed a 12% lift in margin. The cost reduction saved 7% but took 3 weeks to implement. The retention experiment needed 2 months to see results. Viktor chose the pricing experiment. It had the highest impact in the shortest time.
Do This Now (5 Steps)
- List your team's next three experiment ideas.
- For each idea, estimate the potential impact on contribution margin.
- Estimate the time to implement: days, weeks, or months.
- Rank ideas by impact divided by time. Highest score wins.
- Pick the top idea and assign one person to start this week.
Avoid These Traps
- Don't pick an experiment just because it's easy. Easy doesn't mean high impact.
- Don't ignore cash timing. A quick win that drains cash is still a loss.
- Don't overcomplicate the math. Use simple numbers like 12% or 7 days.
- Don't forget to check your runway. If cash is tight, pick a fast experiment.
- Don't let everyone vote. You decide based on data, not popularity.
Your Win by Friday
By Friday, you'll have one experiment picked and started. Your team will know exactly why that move matters. You'll feel confident that you focused effort on the highest-impact move. That's a win.