Who This Helps
You're a Junior Analyst who wants to ship clean analysis with clear recommendations. You're tired of spending hours updating spreadsheets and slides every week. The Product Portfolio Strategy course is built for leaders like you who need to size bets, sequence work, and keep stakeholders aligned.
Mini Case
Meet Priya. She's a Junior Analyst at a mid-size SaaS company. Every Monday, she manually updated a portfolio map with the latest revenue numbers and confidence scores. It took her 4 hours each week. After she automated the data pull with a simple AI script, that dropped to 30 minutes. She used the extra time to add clear recommendations—like "kill the low-confidence bet that's costing 12% of the team's capacity." Her manager loved it.
Do This Now (5 Steps)
- Map your current portfolio. Use the Portfolio Map mission from the course. List every bet, its cost, and its current confidence level.
- Set up an automated data refresh. Use AI to pull your key metrics (revenue, capacity used, confidence scores) from your data source into a single sheet. No more manual copy-paste.
- Add rough sizing and confidence. For each bet, assign a size (small, medium, large) and a confidence score (low, medium, high). This is straight from the Bet Sizing mission.
- Create a one-page portfolio artifact. This is the core outcome of the course. Keep it simple: list bets, their status, and your recommendation (keep, adjust, or kill).
- Write your recommendations in plain language. For each bet, say what you recommend and why. Use numbers: "This bet uses 20% of our capacity but has only 30% confidence—consider killing it."
Avoid These Traps
- Don't overcomplicate the artifact. One page is enough. More pages mean more updates.
- Don't skip the confidence scores. Without them, your recommendations feel like guesses.
- Don't automate everything at once. Start with one data source (like revenue) and expand later.
- Don't forget the guardrails. The Portfolio Guardrails mission helps you define what must not get worse—like customer satisfaction or delivery speed.
- Don't send raw data to stakeholders. Always pair numbers with a clear recommendation.
Your Win by Friday
By Friday, you'll have a one-page portfolio artifact that's automatically updated. You'll spend less than 1 hour per week on updates. Your recommendations will be clear, backed by numbers, and aligned with your team's capacity. Your manager will see you as the analyst who ships clean work—not just data dumps.