Who This Helps
You're a team lead who wants to scale a repeatable analytics routine. You're tired of chasing every shiny metric. You need a way to focus your team's effort on the move that actually moves the needle.
Mini Case
Meet Aisha. She leads a product analytics team at a mid-size SaaS company. Her team runs weekly experiments, but they're spread thin. Last month, they ran 12 experiments. Only 2 moved key metrics. That's a 17% hit rate. Aisha needed a better way to prioritize.
She used the Strategy Basics: Competitive Map course to build a simple competitive map. The map showed where her product wins and loses against competitors. One clear insight: their onboarding flow was 30% slower than the market leader. That became her team's top experiment. They focused on that one move, and within 7 days, they saw a 12% improvement in activation.
Do This Now (5 Steps)
- Gather your team for a 30-minute huddle. Bring your current experiment list and a whiteboard.
- Draw a simple 2x2 grid. Label one axis "Customer Value" and the other "Competitive Advantage."
- Plot your top 5 experiments on the grid. Be honest about where each one lands.
- Pick the experiment in the top-right quadrant. That's your highest-impact move.
- Assign one owner and a 5-day deadline. No more than that. Move fast.
Avoid These Traps
- Don't overcomplicate the map. A 2x2 grid is enough. You don't need a 10-dimension matrix.
- Don't include every competitor. Aisha learned this the hard way. She started with 15 logos and got stuck. She trimmed to 3 direct competitors.
- Don't chase vanity metrics. Focus on metrics that tie to revenue or retention.
- Don't run more than 3 experiments at once. Your team will split focus and miss the big win.
- Don't skip the "why." Before you start, ask: "Why does this experiment matter for our competitive position?"
Your Win by Friday
By Friday, you'll have a clear competitive map and one prioritized experiment. Your team will know exactly where to focus. No more guessing. No more wasted effort. You'll feel like you're playing offense, not defense. And honestly, that's a great feeling.
Remember: the goal is not to run more experiments. It's to run the right experiment. That's how you scale a repeatable analytics routine.