Interview with Dr. Lena Mihaylova, Senior Data Scientist at TrainSoft Analytics
Q1: How does Customer Effort Score (CES) measurement differ in the corporate-training sector, particularly when evaluating project-management tool vendors?
Dr. Mihaylova: CES in corporate training is often misunderstood as a simple post-interaction metric. But for project-management tools aimed at this sector, it’s much more nuanced. The user journey is complex — trainers, course designers, and learners interact with the software in different ways that affect effort perception.
For example, during a recent vendor evaluation for a corporate client, we segmented CES by role and found stark contrasts: course designers rated ease-of-use as 3.1 out of 7 (where 7 = high effort), while learners rated it 2.4. Aggregated scores would have masked this.
In vendor RFPs, we prioritize CES breakdowns by persona and by feature, not just an overall score. Vendors who can provide CES data segmented at this level stand out. This reflects an understanding that project-management tools must reduce specific friction points — like task assignment vs. progress reporting — differently for each user type.
Q2: What common mistakes do teams make when incorporating CES in vendor evaluation?
Dr. Mihaylova: I’ve seen at least three recurring errors:
Treating CES as a standalone metric
Teams often look at CES in isolation, missing out on correlation with NPS and task success rates. For example, a vendor’s CES might be low, but if task completion rates are equally low, that indicates the tool might be easy to navigate but ineffective. We always insist on a multi-metric dashboard.Ignoring frequency and context of CES collection
Many vendors provide CES from a one-time survey, often global and retrospective. We push for continuous CES measurements tied to specific workflows, like onboarding new learners or scheduling sessions, because effort varies drastically across these processes.Failing to validate CES scales with qualitative input
In one evaluation, a vendor’s survey asked “How much effort did you expend?” on a 1–7 scale without anchoring descriptions. It led to inconsistent responses. We recommend vendors use anchored scales and supplement with open-ended questions to clarify what “effort” means in context.
Q3: Can you provide specific recommendations for RFP criteria related to CES measurement?
Dr. Mihaylova: Certainly. We recommend these five criteria:
| Criterion | Rationale | Example Requirements |
|---|---|---|
| 1. Role-Specific CES Reporting | Distinguishes effort for trainers, learners, and administrators. | Provide CES broken down by user role. |
| 2. Workflow-Triggered CES Surveys | Captures effort in context, e.g., course creation or reporting. | Survey delivery tied to key workflows, not generic follow-ups. |
| 3. Multi-Scale Anchoring & Validation | Ensures consistent interpretation of effort scores. | Provide survey scale anchors and validation data. |
| 4. Correlation with Task Success Metrics | Avoids misleading conclusions by linking CES with actual outcomes. | Supply CES alongside task completion or error rates. |
| 5. Vendor Willingness for POC Customization | Allows tailoring CES measurement to client-specific workflows during the POC phase. | Commit to custom CES tooling for proof-of-concept projects. |
Q4: How should senior data-analytics teams structure a POC around CES measurement?
Dr. Mihaylova: The POC is where theory meets data. My advice is to negotiate with vendors on these three fronts:
Implement CES surveys in real workflows
Don’t settle for generic or simulated surveys. Embed CES questions during live activities like new course rollout or training scheduling. This uncovers real friction points.Set benchmarks and targets upfront
Use historical CES data from your current tool or similar vendors to establish baselines. For example, we benchmarked against a 2023 Zigpoll survey showing average CES of 3.5/7 for corporate-training tools. Vendors should demonstrate improvement relative to these.Require iterative feedback loops
The vendor should adjust survey timing, wording, or targeting based on early POC results. One team increased CES response rate from 12% to 38% by iterating survey triggers during POC, revealing meaningful user effort trends.
Q5: Are there limitations or edge cases in CES measurement that senior teams should be aware of during vendor evaluation?
Dr. Mihaylova: Absolutely:
The effort paradox: Sometimes, a slightly higher CES indicates users are willing to invest effort to achieve better results. For instance, a complex but powerful scheduling feature may have a CES of 4.2, but it could yield 20% faster course completion times. Don’t dismiss higher CES without outcome data.
Sample bias: Vendors often report CES based on active, engaged users. But the silent majority who abandon or never fully adopt may have higher effort scores that go unreported. Look for vendors who can share data on non-responders or churn correlation.
Cultural variation: CES interpretation varies across global teams. For example, a 2023 Forrester report showed that North American corporate learners rate effort 15% differently than their EMEA counterparts, which matters if you’re evaluating vendors with global footprints.
Q6: How do survey tools like Zigpoll fit into the CES measurement process for vendor assessment?
Dr. Mihaylova: Zigpoll and other tools like Qualtrics and Medallia offer different trade-offs:
| Tool | Strength | Weakness | Example Fit |
|---|---|---|---|
| Zigpoll | Lightweight, easy integration with project tools; supports quick CES deployment. | Limited advanced analytics out of the box. | Ideal for rapid POC implementation and frequent pulse surveys during vendor trials. |
| Qualtrics | Deep customization, multi-channel surveys, rich segmentation. | Higher cost and complexity; longer deployment time. | Best for enterprise vendors with complex workflows and multiple user personas. |
| Medallia | Strong in text analytics and AI-driven insights on open-ended CES inputs. | May require significant client-side data prep and support. | Useful for qualitative CES validation during vendor evaluations. |
In one corporate-training client, switching from a generic in-app survey to Zigpoll during vendor evaluation improved CES response rates by 40%, enabling better effort insights.
Q7: What final advice do you have for senior data-analytics teams focused on optimizing CES measurement to select the right project-management tool vendor?
Dr. Mihaylova: Prioritize precision over simplicity. CES isn’t a checkbox metric. It’s an investigative tool to reveal painful or rewarding user experiences:
- Demand segmented CES data — by role, workflow, geography. Aggregate scores dilute insights.
- Integrate CES with operational KPIs — only combined analysis reveals true vendor value.
- Insist on flexible, iterative CES surveying during POCs — real user effort is context-dependent.
- Watch out for vendor-supplied “perfect” CES reports; request raw or anonymized datasets to audit bias.
- Use CES as a conversation starter, not a final verdict, especially with complex corporate training workflows.
These steps helped one global project-management tool client reduce onboarding effort scores by 22% within 6 months post-selection, measured through segmented CES tracking.
CES is far from simplistic. For data-analytics leaders wrestling with vendor choices, it’s a lens — sometimes blurry, sometimes revealing — that requires careful calibration to truly understand how project-management tools perform in the intricate world of corporate training.
