Who This Helps
Founder operators who spend hours updating spreadsheets and slide decks for portfolio reviews. You want to make faster decisions without losing context. The Product Portfolio Strategy course shows you how to automate the boring parts so you can focus on what matters.
Mini Case
Meet Jenna. She runs a portfolio of 12 bets across three teams. Every week, she spent 4 hours pulling status updates, checking capacity, and reformatting data. After she automated reporting with AI, that dropped to 30 minutes. Her team now sees live updates on bet sizing and sequencing. No more stale slides. No more Monday morning panic.
Do This Now (5 Steps)
- Map your current portfolio – List every active bet, its owner, and its status. Use the Portfolio Map mission from the course as your template.
- Size each bet – Assign rough effort estimates (small, medium, large) and confidence levels (low, medium, high). This is Bet Sizing in action.
- Set up a live data source – Connect your project management tool to a simple dashboard. AI can pull updates automatically every day.
- Define your guardrails – Write down what must not get worse: revenue, customer satisfaction, or team morale. The Portfolio Guardrails mission covers this.
- Schedule a weekly AI check-in – Let AI summarize changes, flag risks, and suggest re-sequencing. You review for 10 minutes, then decide.
Avoid These Traps
- Don't automate everything at once. Start with one mission, like Capacity & Sequencing, and expand.
- Don't skip the kill criteria. Without clear kill criteria, you'll keep funding zombie bets.
- Don't trust AI blindly. Always review the summary before making a call.
- Don't forget the human touch. AI handles data; you handle alignment and judgment.
Your Win by Friday
By Friday, you'll have a one-page portfolio artifact that updates itself. You'll know which bets to accelerate, which to kill, and which to watch. Your team will see the same fresh context. And you'll reclaim 3 hours a week. Not bad for a few clicks and one smart AI helper.