Who This Helps
This is for product managers who spend hours digging through competitor noise and still end up with vague answers. You want to turn product questions into measurable decisions, not more spreadsheets. The Market Intelligence & Positioning course is built for exactly this.
Mini Case
Meet Zaid. He runs product strategy at a mid-size SaaS company. Every week, his team asks: "Are we still positioned right?" Zaid used to spend 6 hours manually scanning competitor claims and updating slides. After using the Positioning Grid mission from the course, he cut that to 90 minutes. He also found one market shift that changed his team's entire roadmap — a 12% increase in customer demand for a feature they had deprioritized.
Do This Now (5 Steps)
- Set up a weekly signal scan. Use AI to pull competitor news and customer reviews into one place. No more browser tabs.
- Classify claims into two buckets. Evidence-backed vs narrative noise. This is straight from the Competitor Claim Audit mission.
- Pick one ICP wedge. Choose the customer segment where you can win. Justify it with at least three data points.
- Build your positioning grid. List your top three competitors. Score each on five criteria like price, speed, and support. Be honest about tradeoffs.
- Automate the update. Set a recurring task to refresh the grid every two weeks. AI can flag changes for you.
Avoid These Traps
- Don't track everything. Focus on the one market shift that materially changes your positioning. Everything else is noise.
- Don't skip the evidence check. Just because a competitor says something doesn't make it true. Verify before you react.
- Don't pick a wedge without proof. Your gut is not a data point. Use win-loss evidence to back your choice.
- Don't let the grid gather dust. A positioning artifact is only useful if you revisit it. Set a calendar reminder.
Your Win by Friday
By Friday, you will have a one-page positioning artifact that answers: "Where do we win and why?" Your team will stop guessing and start debating tradeoffs with real data. And you will have automated the boring part — so you can focus on the fun part: building something people actually want.