Unf*cking Your CX #37: Correlation vs Causation... Get it right!

Unf*cking Your CX #37: Correlation vs Causation... Get it right!

Let’s start with a question no one’s brave enough to ask: Do you know the difference between correlation and causation?

If your CX strategy is stuck in “correlation-land,” you’re not a leader—you’re an educated guesser. And guesswork doesn’t get buy-in, budget, or results.

Here’s the harsh truth: CX pros who fail to connect customer insights to business outcomes are glorified statisticians. Sure, you’ve got dashboards full of data, and you’ve identified trends. But are you proving that your CX initiatives create real, measurable change—or are you just pointing at lines on a graph?

It’s time to unf*ck this mindset. If 2025 is going to be your year, you need to master the difference between correlation and causation and use that mastery to lead.


What’s Correlation vs. Causation?

Correlation

Correlation means two things happen at the same time, but one doesn’t necessarily cause the other.

  • Example: Customers who buy red shoes also tend to buy coffee mugs. Does buying red shoes cause people to need coffee mugs? No—it’s just a pattern.

Causation

Causation means one thing directly leads to another.

  • Example: Sending proactive delivery updates reduces WISMO calls. Why? Because customers don’t need to call when they’re informed.


Why CX Pros Get This Wrong

The problem with CX isn’t the data—it’s the assumptions.

  • Correlation Trap: “Our NPS is 72, so our customers are happy.”
  • Reality Check: NPS is a lagging metric. It doesn’t explain why your customers are happy—or if they’ll stay happy next quarter.

When CX pros rely on correlation instead of proving causation, they undermine their own credibility. Leaders don’t want anecdotes—they want evidence. And if you can’t provide it, someone else will.


The Business Cost of Correlation Thinking

1. Missed Opportunities

  • Correlation Thinking: “Our survey data shows complaints about long wait times.”
  • Causation Thinking: “Fixing wait times will reduce churn by 10% and save $500K annually.”

2. Wasted Budget

  • Correlation Thinking: “Let’s throw money at tech because it worked for another brand.”
  • Causation Thinking: “Let’s implement proactive communication tools because they reduce churn and increase CLTV.”

3. Lost Credibility

  • Correlation Thinking: Presenting trends without actionable insights.
  • Causation Thinking: Proving how fixing one issue directly impacts business metrics.


How to Lead with Causation in CX

Let’s get actionable. Below are two frameworks that will transform how you think about causation—and how you position yourself as a CX leader.

Framework #1: The Why Ladder

This framework helps you dig deep into data to uncover root causes instead of surface-level correlations.

  1. What Happened? Identify the observed trend or issue.
  2. Why Did It Happen? Dig into customer data and behaviors.
  3. What Caused the Behavior? Identify the operational driver.
  4. What’s the Measurable Impact? Tie the issue to business outcomes.
  5. What’s the Solution? Propose a fix with measurable goals.

Why It Works: The Why Ladder forces you to avoid assumptions and connect customer behaviors to measurable outcomes.

Framework #2: The Results-First Framework

Most CX initiatives fail because they start with an idea, not an outcome. The Results-First Framework flips the script—start with the result you want, then work backward.

  1. Define the Outcome
  2. Identify the Behavior
  3. Map the Driver
  4. Select Metrics
  5. Implement and Measure

Why It Works: The Results-First Framework ensures every CX initiative directly ties to business outcomes, eliminating guesswork.


3 Player Tips for Mastering Causation in CX

1. Stop Reporting—Start Proving

  • Babysitter Move: “Our NPS increased by 5 points this quarter.”
  • Leader Move: “Our new onboarding process reduced churn by 10%, saving $300K.”
  • Action Tip: Tie every initiative to dollars, data, and impact—or don’t bother presenting it.

2. Bring a POV, Not Just Data

  • Babysitter Move: “Here are the top 3 complaints from customer surveys.”
  • Leader Move: “Resolving our top 3 complaints will save $500K annually and improve retention by 20%.”
  • Action Tip: Use the POV framework to frame customer pain points as business-critical opportunities.

3. Turn Metrics into Movements

  • Babysitter Move: “Our churn rate is 15%.”
  • Leader Move: “Reducing churn by 5% will add $1M in revenue and reduce acquisition costs by $250K.”
  • Action Tip: Show how metrics create ripple effects across the business.


Thought-Provoking Question

Are you delivering data that proves causation or just pointing out correlations?


The Hard Truth About Causation vs. Correlation

If your CX playbook for 2025 is just a string of trends, dashboards, and vague insights, you’ve already lost. Correlation thinking isn’t leadership—it’s laziness wrapped in buzzwords. The leaders who thrive in 2025 will be the ones who can stand in the boardroom, not with fluff about “NPS trends,” but with bulletproof causation: “This initiative will cut churn by 15%, save $1M, and drive $500K in retention revenue.”

If you’re still reporting without proving, still chasing vanity metrics, still building slides instead of outcomes—you’re a babysitter in disguise. It’s time to evolve. Learn to wield causation like a weapon, or step aside for someone who will.

This isn’t just about better CX. It’s about survival. Are you ready to lead—or are you just hoping to make it through another year unnoticed? The choice is yours.

Let's get to unf*cking.


Richard Schwartz

I help life sciences understand & execute Experience Management business solutions. My personal moonshot is validating EaaM - “Experience as a Medicine?”

2 个月

This one is #saveworthy

Bill Staikos

I help companies drive revenue, reduce costs, and improve culture, scaling business outcomes through AI and Analytics.

2 个月

But Zack, it’s maths. ??

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