Who This Helps
This is for you, Junior Analyst. You have data, you have requests, and you need to decide which experiment to run next. The GTM Strategy & Messaging course helps you build a board-ready narrative, but first you need to prioritize.
Mini Case
Meet Priya. She's a Junior Analyst at a SaaS company. Her team had three experiment ideas: A/B test a new landing page, run a LinkedIn ad campaign, or send a personalized email sequence. Priya scored each on impact and effort. The landing page test scored 8/10 on impact but needed 5 days. The email sequence scored 6/10 and needed 2 days. The LinkedIn campaign scored 4/10 and needed 10 days. Priya picked the landing page test. It delivered a 12% lift in conversions. She shipped her analysis with a clear recommendation. Her manager loved it.
Do This Now (5 Steps)
- List your experiment ideas. Write down every request you have. No filtering yet.
- Score each on impact. Use a simple 1-10 scale. How much will this move the needle?
- Score each on effort. Use a 1-10 scale. How many days or people does it need?
- Calculate priority. Divide impact by effort. Higher number wins. For example, 8/3 = 2.67 beats 6/2 = 3.0? Actually 6/2 = 3.0 beats 2.67. Check your math.
- Ship your pick. Write one sentence: "Run experiment X because it gives Y% lift with Z days of work." Done.
Avoid These Traps
- Analysis paralysis. Don't perfect your scores. Use gut feel plus one data point.
- Shiny object syndrome. Just because a new tool is cool doesn't mean it's high impact.
- Skipping the recommendation. Your job is to decide, not just show data.
Your Win by Friday
By Friday, you'll have one experiment prioritized and a one-page analysis ready to share. Your team will know exactly what to do next. And you'll look like the analyst who makes things happen. That's a win.