Who This Helps
You're a Junior Analyst who wants to stop spinning wheels. You have a list of possible experiments, but you're not sure which one to run first. You want to ship analysis that actually moves the needle—and get your boss nodding instead of asking "why this one?"
Mini Case
Meet Priya. She's a Junior Analyst at a fast-growing SaaS company. Her team had 7 experiment ideas, but only time for 2 this quarter. Priya used a simple scoring method: impact (1-5) times effort (1-5, lower is better). She ranked them, picked the top 2, and ran the analysis. Result: one experiment boosted trial-to-paid conversion by 12% in 3 weeks. Her boss loved the clarity. Priya didn't guess—she prioritized.
Do This Now (5 Steps)
- List your experiment ideas. Write down every test you're considering. Don't filter yet.
- Score each for impact. Ask: if this works, how much will it improve the metric we care about? Use 1 (low) to 5 (high).
- Score each for effort. How many hours, people, or approvals does it need? Use 1 (easy) to 5 (hard).
- Calculate priority score. Divide impact by effort. Higher number = higher priority.
- Pick your top 2. Run the analysis on those first. Ship clear recommendations with your data.
Avoid These Traps
- Falling in love with your own idea. You'll bias the scores. Ask a teammate to review your rankings.
- Ignoring dependencies. One experiment might block another. Check the order before you commit.
- Overthinking the scoring. Use rough numbers. Perfect is the enemy of done.
- Skipping the recommendation. Don't just show numbers. Say "Run experiment A first because..."
Your Win by Friday
By Friday, you'll have a ranked list of your next experiments. You'll know exactly which one to run first. Your analysis will have a clear recommendation—no more "maybe this one." And your boss will see you as the analyst who prioritizes like a pro. That's a win worth celebrating (maybe with a coffee).
This approach is part of the Data Reliability Leadership course, where you learn to build trust in your numbers and lead with confidence. One mission, "Reliability Baseline," teaches you to define what reliability means and how to measure it—perfect for making your analysis stick.