Who This Helps
You're a founder operator who needs to make faster decisions with compact evidence. You're tired of chasing stale numbers and rebuilding reports every week. The Data Reliability Leadership course is built for leaders like you who want to automate reporting and keep context fresh.
Mini Case
Meet Mei, a founder operator at a growing SaaS company. She spent 12 hours each week manually updating her board deck and investor updates. After defining data contracts for her top 3 revenue metrics, she automated the reporting with AI. Her manual work dropped to 2 hours per week, and her team stopped questioning the numbers. The first 30 minutes of incident triage became calm and structured.
Do This Now (5 Steps)
- Pick your top 3 metrics that drive decisions—like MRR, churn rate, or daily active users.
- Write a data contract for each metric: define the source, calculation, and refresh frequency.
- Set up a simple AI monitor that checks your data sources daily and alerts you if numbers drift from the contract.
- Automate your weekly report by connecting your data contract to a dashboard that updates itself.
- Run a 5-minute incident drill with your team using the triage card from the course—practice calm, structured response.
Avoid These Traps
- Defining too many metrics at once. Start with 3, not 30. You'll get overwhelmed and quit.
- Skipping the contract step. Without a clear definition, your AI will report garbage.
- Ignoring context changes. When your product or pricing shifts, update your contracts fast.
- Automating before you trust the data. First, verify your numbers manually for one week.
- Forgetting to celebrate small wins. Each automated report saves you real hours—acknowledge that.
Your Win by Friday
By Friday, you'll have one data contract written for your most important metric. You'll set up an AI alert that pings you if the number looks off. That's 3 hours saved next week, and a clear path to automate the rest. Your board deck will update itself, and you'll make decisions with fresh evidence.