Who This Helps
This is for junior analysts who want to stop guessing and start shipping analysis that actually gets used. You know the drill: you pull data, make a chart, and then... nothing. The team moves on to the next shiny thing. If you want your work to drive real decisions, this is for you.
In the Market Intelligence & Positioning course, you learn to turn competitor noise into a positioning strategy with clear bets and guardrails. No fluff, just moves that matter.
Mini Case
Meet Zaid. He's a junior analyst at a SaaS company. His team has three experiment ideas: a pricing tweak, a new feature, and a content push. Zaid needs to pick one. He runs a quick signal landscape scan (one of the missions in the course) and finds that a competitor just launched a similar feature with a 12% higher adoption rate. That's a red flag. Zaid recommends the pricing tweak instead, which could capture 7% more revenue in 30 days. The team agrees. Zaid ships clean analysis with a clear recommendation, and his boss notices.
Do This Now (5 Steps)
- List your next three experiment ideas. Write them down. No judgment yet.
- Run a quick competitor claim audit. Check if any competitor has already tried something similar. Look for evidence-backed claims vs narrative noise.
- Pick one ICP wedge. Choose the ideal customer profile that would benefit most from your experiment. Justify it with one data point.
- Build a positioning grid. Compare your three ideas on three criteria: effort, impact, and risk. Use numbers (like 1-5 scale).
- Make one recommendation. Write one sentence: "We should do X because Y." That's it. Ship it.
Avoid These Traps
- Don't overthink it. You don't need a perfect model. A simple grid with three criteria is enough.
- Don't ignore competitor moves. If a competitor already failed at something, learn from their mistake.
- Don't recommend three things. Pick one. A clear recommendation beats a vague list every time.
- Don't hide behind data. Your job is to interpret, not just report. Say what it means.
- Don't wait for permission. Ship your analysis with a recommendation. Your team will thank you.
Your Win by Friday
By Friday, you'll have one prioritized experiment with a clear recommendation. Your analysis will be clean, your logic will be tight, and your team will know exactly what to do next. Plus, you'll have a positioning artifact (one page) that you can reuse for future decisions. That's a win you can actually see.