Who This Helps
This is for product managers who spend hours every week updating spreadsheets and slide decks. You have a portfolio of bets, but the data gets stale fast. You want to turn product questions into measurable decisions without the grunt work.
In the Product Portfolio Strategy course, we teach you to size bets, sequence work, and keep stakeholders aligned. One mission, "Quarterly Review Cadence," shows how to automate the boring parts so you can focus on strategy.
Mini Case
Meet Sarah, a PM at a mid-size SaaS company. She managed 12 bets across 3 teams. Every Monday, she spent 4 hours pulling data from Jira, updating a spreadsheet, and emailing stakeholders. After a quarter, she noticed her portfolio context was already 2 weeks old by the time she presented it.
She tried a simple AI trick: she connected her portfolio tracker to an AI tool that summarized changes overnight. In 3 weeks, her manual update time dropped from 4 hours to 30 minutes. Her team started making decisions based on fresh data, not stale guesses. Her kill criteria caught a bet that was 20% over budget before it wasted more money.
Do This Now (5 Steps)
- List your active bets. Write down every bet in your portfolio. Include the name, owner, and current status. Keep it to one page.
- Set a weekly update trigger. Use a calendar reminder or a simple automation to pull status updates from your project tools every Friday at 4 PM.
- Feed updates to an AI summary. Paste the raw updates into a chat tool and ask for a one-paragraph summary of changes, risks, and decisions needed. No fancy setup needed.
- Review the summary in 10 minutes. Read the AI output on Monday morning. Mark any bet that needs a decision. That’s your action list for the week.
- Share the fresh context with stakeholders. Forward the summary to your leadership team. They get a clear, current view of the portfolio without waiting for you.
Avoid These Traps
- Don’t automate everything. Keep the strategic decisions manual. AI can summarize, but you still need to judge trade-offs.
- Don’t skip the kill criteria. If a bet is underperforming, automate a flag. Sarah’s 20% over-budget bet was caught because she set a threshold.
- Don’t overcomplicate the tool. A simple chat interface works. You don’t need a custom dashboard.
- Don’t forget the human check. Always scan the AI summary for errors. It’s a helper, not a replacement.
- Don’t let context drift. Update your portfolio artifact every quarter. The AI summary is a weekly pulse, not the full picture.
Your Win by Friday
By Friday, you will have a working weekly update system. Your portfolio context will be less than 24 hours old. You will save at least 3 hours of manual work. And you will make one decision based on fresh data instead of stale guesses. That’s a measurable win for your product strategy.
And hey, you might even have time to grab coffee with your team. That’s a nice bonus.