Customer expectations have never been higher. People expect fast, accurate, and effortless support, every time—and across industries, from ecommerce to financial services to healthcare, customer experience has become one of the most strategic levers for achieving durable competitive advantage.
Here’s the challenge I’ve seen again and again: you can’t improve what you can’t see. For years, most support organizations have been making decisions based on only a tiny slice of their customer interactions, captured through surveys that reach only the most motivated (or frustrated) voices. In my own program reviews, the most revealing insights often hid in the conversations that never made it into CSAT or NPS.
We created CX Score to change that. CX Score gives teams a complete view of the customer experience across every meaningful conversation—no CSAT or NPS surveys required. I wanted a signal that reflected reality, not just a vocal minority.
After launching CX Score, we saw many teams immediately use it to understand performance trends, highlight experience issues, and surface gaps across support operations. That early momentum validated the approach and showed us where to go deeper.
As adoption grew, new opportunities emerged. CX leaders found value from CX Score—but they also wanted the model to capture more nuance and identify the specific drivers leading to negative or positive scores, giving them clearer direction on where to focus. I heard the same ask from my own leadership peers: make it explainable and actionable.
That’s what we’ve built into the latest iteration of CX Score. If you’ve been using CX Score for a while and have noticed it shift recently, that’s an expected evolution. A recent shift in scores does not mean your support quality has dipped or that Fin or your team is performing worse than before—this one-time shift reflects a more advanced, more complete model that understands customer experience more deeply with even greater coverage.
Why CX Score needed to evolve
In the initial release, CX Score evaluated each conversation using a combination of sentiment, resolution, and support quality signals. It provided strong early insight and surfaced experience trends that were previously invisible. But as we analyzed real-world conversations across thousands of companies, it became clear that even these combined signals didn’t fully capture the nuance of how customers actually experience support—especially in moments where the outcome was technically correct, but the path to get there involved unnecessary friction, repeated explanations, or unresolved product limitations.
This evolution of CX Score builds on that foundation. It incorporates deeper contextual understanding of the entire interaction, creating a more complete and accurate reflection of the customer experience. As a product leader, that depth matters because it turns a lagging metric into a coaching and prioritization system.
How CX Score has evolved: deeper, more actionable insights
We expanded the CX Score evaluation criteria. CX Score now looks beyond just how your team replied, and into the broader context of the customer’s experience—including reasons that may be outside your support team’s direct control but still influence how your customers feel.
Alongside core support quality signals, we’ve introduced several new dimensions that capture what customers are actually reacting to:
Answer quality (Fin): How well Fin answered the customer’s queries—were responses clear, accurate, and able to resolve the issue without contradiction or repeated clarification?
Answer quality (Teammate): How well a human teammate answered the customer’s queries, using the same criteria: clarity, accuracy, and resolution without contradiction or repeated clarification.
Customer effort: How much effort the customer had to put in to get help (e.g. repeating themselves, multiple handovers, chasing follow-ups).
Strong emotion: Whether the customer expressed strong positive or negative emotions (e.g. joy, gratitude, frustration, anger).
Product/Service feedback: Whether the customer praised or criticized the product (e.g. features, bugs, design gaps, etc.) or the service (e.g. delivery, reliability, onboarding, performance, etc.).
Policy feedback: Whether the customer praised or criticized a company policy (e.g. refunds, returns, account rules, limits, eligibility, etc.).
Broader coverage: more of your support volume now contributes to CX Score
Previously, some conversations couldn’t be scored reliably, especially short, simple, or low-context exchanges—which meant your CX Score was based on only a subset of your total support volume. With this update, CX Score now uses a wider set of criteria to evaluate each interaction. The result: more conversations qualify for scoring, fewer gaps in coverage, and a CX Score that reflects your true support mix—not just the longest or most detailed threads.
Greater transparency with richer, more informative summaries
We’ve made it much clearer why each conversation received the score it did. Right inside the product, every scored conversation now surfaces the specific reasons that influenced its rating—things like high customer effort, strong negative emotion, or product feedback. This added visibility makes it much easier to understand what’s driving your CX Scores, build trust in how they’re calculated, and confidently use them in reporting, coaching, and decision-making.
On top of that, conversation summaries now weave these reasons together with context from the customer’s original query. Instead of scanning the full thread, you can quickly see what happened (the core issue and how it was handled) and why it was scored that way (the key signals that impacted the rating). In my workflow, this shift lets me move from reading transcripts to taking action much more quickly.
From visibility to taking action
As customer experience becomes one of the clearest ways businesses can differentiate, teams need more than visibility—they need clarity on where to invest their time and how to improve. With deeper context and clearer reasoning behind every score, CX leaders can quickly identify what’s working, what needs fixing, and what to prioritize. CX Score moves from being a measurement tool to a system for continuous improvement.
What this unlocks for CX teams: Automatically flag conversations for review. Route threads with high customer effort, strong negative emotion, or low answer quality to QA, team leads, or specialists. Auto-forward product feedback to the right teams. Send conversations with product or policy criticism directly to Product, Engineering, or Ops channels, with no manual triage required. Spot operational issues such as handoff loops, unclear answers, or inconsistent workflows. Share transparent, explainable insights directly with leadership.
The future of CX measurement
CX Score isn’t just another metric. It’s becoming a new standard. Some customers have already chosen to replace CSAT entirely, using CX Score as their primary measure of experience quality because of the broader coverage, deeper context, and clearer paths to action it offers. This reflects a broader shift across the industry: as new competitors emerge and product differentiation narrows, customer experience is becoming one of the most strategic ways to stand out; measuring it accurately and understanding it deeply is now essential.
Our focus going forward is to help teams diagnose issues faster, prioritize with confidence, and improve at scale. This is the foundation we’ll continue to build on: turning every conversation into insight, and every insight into action.
The new CX Score is rolling out gradually to all customers and will be in your workspace by December 3rd.
Want to see CX Score in your workspace? Get started →
Inspired by this post on The Intercom Blog.
