Who This Helps
You're a founder operator juggling a dozen ideas. Every week, you run another test, but the results feel random. You need a way to pick the one experiment that actually moves your business forward.
The Data Reliability Leadership course is built for exactly this moment. It teaches you to define what good data looks like, so you can trust the numbers you use to decide.
Mini Case
Mei runs a SaaS startup. She had 3 experiments lined up: a pricing change, a new onboarding flow, and a referral program. Her team was split on which to run first. Mei used a data contract to define the key metric: trial-to-paid conversion rate. She set a baseline of 12% and a target of 15%. With that contract, she saw the pricing change had the highest potential impact. She ran that experiment first. Result: conversion hit 14.8% in 7 days. The other experiments could wait.
Do This Now (5 Steps)
- Pick one metric that matters most for your next decision. Keep it simple.
- Write a one-sentence contract for that metric. Example: "Trial-to-paid conversion rate is calculated as users who pay within 14 days divided by users who start a trial."
- Set a baseline and a target. Use your last 30 days of data. Don't overthink it.
- List your top 3 experiments. For each, estimate the impact on that metric. Be honest.
- Rank by impact. Run the experiment with the highest estimated lift first. That's your priority.
Avoid These Traps
- Picking a metric that's hard to measure. If you can't get the data in 5 minutes, pick another one.
- Setting a target that's too ambitious. A 50% lift sounds great but usually isn't realistic. Start with 10-20%.
- Forgetting to check your data source. If your numbers come from a broken pipeline, your contract is useless. The course's Monitoring & Alerts mission covers this.
- Running two experiments at once. You won't know which one caused the change. Stick to one.
- Ignoring the baseline. Without it, you can't tell if your experiment worked or it was just a good week.
Your Win by Friday
By Friday, you'll have one data contract written, one experiment prioritized, and a clear reason why. You'll stop spinning and start moving. That's the win: faster decisions, less noise, more impact.
And hey, you might even have time to grab coffee with your team to celebrate. That's a win too.