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Team Lead · Market Intelligence & Positioning

Team Lead: Scale Analytics with the Positioning Grid

Turn competitor noise into a repeatable analytics routine. Get your team to act on insights.

Who This Helps

You're a team lead who wants to scale a repeatable analytics routine. Your team gathers data, but insights get stuck in slides. The Market Intelligence & Positioning course helps you turn analysis into approved execution.

Mini Case

Meet Zaid. He leads a team of three analysts. They spent 40 hours on a competitor report, but stakeholders asked, "So what?" Zaid used the Positioning Grid from the course to classify 12 competitor claims into evidence-backed vs narrative noise. In one week, his team delivered a one-page positioning artifact that got approved in the first review.

Do This Now (5 Steps)

  1. Run a Signal Landscape Scan – Have your team list 10 market signals from the last month. Pick one shift that changes your positioning.
  2. Do a Competitor Claim Audit – Sort each claim into "evidence" or "noise." Aim for 80% evidence-backed claims.
  3. Pick One ICP Wedge – Choose one ideal customer profile wedge. Justify it with three data points from your audit.
  4. Build a Positioning Grid – Use comparable criteria like price, features, and trust. Show tradeoffs for each competitor.
  5. Create a Win-Loss Evidence Cut – Review three recent wins and three losses. Find one pattern that changes your story.

Avoid These Traps

  • Don't skip the Signal Landscape Scan. Jumping straight to the grid misses the market shift.
  • Don't classify every claim. Focus on the top 10 that matter to your ICP.
  • Don't pick a wedge without evidence. A hunch wastes your team's time.
  • Don't build a grid with vague criteria. Use specific metrics like response time or churn rate.
  • Don't present raw data. Always summarize into one page of actionable insights.

Your Win by Friday

By Friday, your team will have a one-page positioning artifact. Stakeholders will see clear bets and guardrails. You'll turn analysis into approved execution. And you'll look like the lead who makes data fun again.