Tracking Customer Effort Score (CES) might seem straightforward: ask customers how hard it was to get their issue solved or task completed, and then collect the numbers. But for growth professionals in agency-focused project management tools, it’s never that simple. The real challenge lies in turning CES data into actionable insights that actually improve your product and win more loyal users.

Let’s break down 12 practical ways you can approach CES measurement with a sharp eye on data-driven decisions, helping you connect the dots between raw feedback and meaningful growth.


The Cost of Ignoring Customer Effort

Ask any agency PM tool user about friction points, and you’ll hear complaints about clunky onboarding, confusing task dependencies, or slow integrations with other software. These create friction — the customer’s actual effort to get value.

A 2024 Forrester report found that 65% of B2B SaaS customers who reported high effort scores were twice as likely to churn within 6 months. For agency tools, where client retention drives MRR and upsell, that number hits hard.

If you ignore CES or treat it as a vanity number, you risk losing customers and missing the chance to fix the root causes of frustration. Conversely, a sharp, data-driven CES approach helps you spot problems early and track improvements, making your growth efforts smarter.


1. Define What “Effort” Means for Your Agency Users

Customer Effort Score isn’t one-size-fits-all. For an agency project management tool, effort might mean:

  • How hard was it to create and assign tasks to team members?
  • How easy was it to integrate with CRM or billing software?
  • How quickly could they generate client-facing reports?

Get specific. Use surveys and qualitative feedback to identify the key effort points your users face. For example, one team discovered that integrating third-party apps caused a spike in CES — a detail they would’ve missed with a generic effort question.


2. Use Targeted CES Surveys After Key Interactions

Don’t just blast out a “How easy was it?” survey after every login. Instead, focus your measurement on moments that matter: after onboarding, completing a large project, or using a core feature like client reporting.

Tools like Zigpoll or Typeform make it easy to trigger these short, targeted surveys within your app or via email. This way, your data reflects real user experiences at critical points, not random noise.


3. Combine CES with Behavioral Data for Context

CES numbers alone are like hearing customers say “That was hard” but not knowing why. Layer your CES scores with usage analytics — who’s using what feature, how long tasks take, where users drop off.

For instance, if you notice a spike in CES scores after new feature releases and see a drop in daily active users, you have strong evidence that the changes added friction, inviting focused fixes.


4. Experiment Systematically to Reduce Effort

Data-driven growth thrives on testing. For example, after identifying onboarding flows with high CES, try tweaking the steps: add micro-tutorials, reduce required fields, or automate task assignments.

Run A/B tests and track whether your CES improves. One agency growth team increased ease scores by 30% over three months this way, which correlated with a 15% jump in trial-to-paid conversion.


5. Segment CES by User Role and Agency Size

Not every user experiences effort the same. Project managers, account leads, and junior team members each interact differently with your tool.

Similarly, small boutique agencies have different needs than large firms with multiple departments. Segmenting your CES data uncovers hidden patterns and lets you tailor product improvements. For example, junior users may struggle with complex task dependencies more than senior managers, pointing to targeted UX fixes.


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6. Integrate CES with Your Churn Prediction Models

Growth teams often build churn models based on login frequency and support tickets. Adding CES data gives a richer signal.

If a client’s recent CES spikes above 6 on a 7-point scale, even without support tickets, you can proactively reach out before churn happens. One mid-tier PM tool company reduced churn 12% in six months by integrating CES into their warning system.


7. Use CES as a KPI in Cross-Functional Growth Meetings

Make CES a living metric, not a quarterly footnote. Share CES trends with product, marketing, and customer success teams regularly.

Tracking CES alongside NPS (Net Promoter Score) and CSAT (Customer Satisfaction) gives a fuller picture of user health. While NPS captures loyalty and CSAT measures happiness with support, CES pinpoints friction — the direct blocker to retention.


8. Automate CES Collection with Embedded Surveys

Manual feedback collection slows you down and limits data volume. Use tools like Zigpoll, Survicate, or Hotjar to embed CES surveys directly in your app at strategic moments.

Automation scales your feedback loop and delivers near real-time data, so you can spot trends and respond faster. Just beware of survey fatigue — don’t over-survey and keep questions brief.


9. Don’t Confuse CES with Customer Satisfaction

CES measures effort, not happiness or loyalty. You might have a user who rates effort as low (meaning it was easy) but still gives a low satisfaction score due to a missing feature.

Treat CES as a diagnostic tool, not an absolute measure of success. Use it alongside other metrics to get a rounded view.


10. Visualize CES Trends and Correlations in Dashboards

Raw survey data is overwhelming. Build dashboards that chart CES over time, by segment, and against other KPIs like renewal rates or support response times.

Seeing CES trends visually helps your team spot hot spots needing attention, such as a sudden increase in effort after a UI redesign.


11. Be Ready for Data Quality Pitfalls

Bad data kills good decisions. Watch out for:

  • Low survey response rates that skew results
  • Users misinterpreting the effort question (e.g., effort to find help, not to complete task)
  • Seasonal effects (e.g., agency slow seasons affecting usage patterns)

Validate your CES data by combining it with qualitative interviews or support ticket analysis.


12. Measure Impact: Link CES Changes to Real Business Results

Finally, measure how CES improvements move the needle on growth metrics like user retention, expansion revenue, and churn.

One agency PM tool team tracked a 15% decrease in average CES after improving onboarding workflows — which corresponded with a 10% lift in annual contract renewals. Data-driven decision-making isn’t just about collecting feedback — it’s about showing ROI on your efforts.


Summary Table: What Each CES Tactic Brings to Your Growth Strategy

Tactic Why It Matters Example Outcome Limitation
Targeted CES Surveys Pinpoint friction points 30% improvement in onboarding CES Can miss broader effort issues
CES + Behavioral Data Add context to raw scores Identify feature drops causing friction Requires analytics setup
Role and Agency Size Segmentation Customize fixes for user types Junior users get tailored UX improvements Can increase complexity of analysis
Automate CES Collection Scale feedback loops Near real-time effort tracking Risk of survey fatigue
Integrate CES into churn models Proactive retention 12% churn reduction Depends on model accuracy
Visualize CES in Dashboards Quick insight and issue spotting Early detection of UI redesign effort spikes Time investment in dashboard building
Experimentation to Reduce Effort Test and learn what actually works 15% conversion increase after onboarding tweaks Needs discipline and resources to run tests

Final Thoughts: Starting Small, Scaling Smart

You don’t need perfect data from day one. Start by embedding simple CES surveys post-onboarding and integrate the data with product usage metrics you already track.

From there, refine your questions, segment users, and build dashboards. Use experiments to test hypotheses, then close the loop by measuring how those tests reduce effort and improve business outcomes.

Putting CES at the heart of your data-driven growth approach turns user friction into clear opportunities — which is exactly the kind of clarity mid-level growth pros need to accelerate agency project management tools forward.

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