Who This Helps
This is for Junior Analysts who want to stop guessing which experiment to run next. You want to ship clean analysis with clear recommendations. The Data Reliability Leadership course shows you how to focus effort on the highest-impact move.
Mini Case
Mei, a junior analyst at a fast-growing startup, had three experiment ideas. She used a simple scoring system from the course: impact (1-10) times confidence (1-10). One idea scored 72, another 45, and the last 30. She picked the 72-point idea. The experiment boosted user retention by 12% in just 7 days. Her boss was thrilled.
Do This Now (5 Steps)
- List your next three experiment ideas. Write them down. No filtering yet.
- Score each on impact. Ask: If this works, how much does it move the needle? Use a 1-10 scale.
- Score each on confidence. Ask: How sure are we this will work? Use a 1-10 scale.
- Multiply impact by confidence. The highest product is your priority. That's your highest-impact move.
- Run that experiment first. Ship your analysis with a clear recommendation. No second-guessing.
Avoid These Traps
- Don't chase shiny ideas. Just because it's fun doesn't mean it's high-impact.
- Don't overthink scores. A rough 1-10 is better than no score at all.
- Don't skip confidence. High impact with zero confidence is a gamble, not a priority.
- Don't forget to communicate. Share your scoring logic so stakeholders trust your recommendation.
Your Win by Friday
By Friday, you'll have one experiment prioritized and ready to ship. Your analysis will be clean, your recommendation clear. You'll feel like a pro, not a guesser. And hey, you might even have time for a coffee break.