TrueData™ SURVEYS
Methodology: Taking a Science-First Approach to CX
Grounded in research methodology, cognitive science, and rigorous analysis — giving you data you can trust and act on.
Science-First ﹡ Human-Led ﹡ Software Included
We bring certified analysts, proven methods, and everything you need. No licensing costs, no learning curve.
Most CX research is broken — and most companies don’t know it.
Surveys go out. Data comes back. Reports get made. And very little actually changes. The problem usually isn’t the questions companies are asking. It’s how they’re asking them, what they’re measuring, and what they do with the results.
At Interaction Metrics, we take a science-first approach to customer experience research. That means rigorous design, bias-free questions, and analysis that actually explains what’s driving your numbers — not just what they are.
Here’s what that looks like in practice.
Our Science-First Survey Methodology
Survey Design Principles
A well-designed survey is a precisely calibrated instrument — not a list of questions.
That means choosing the right metric for what you’re actually measuring (NPS, CSAT, CES, CX Score, QCI™), designing rating scales that don’t skew responses, controlling for respondent fatigue, and building skip logic that keeps every question relevant.
It also means eliminating survey biases like leading questions, double-barreled items, and vague scales that silently corrupt your data before anyone sees it.
Sampling and Measurement
Even a perfectly designed survey fails if the wrong people take it.
Sampling methodology determines whether your data is representative, or just a reflection of whoever happened to respond. We define the right sample frame, calculate statistically valid sample sizes, and account for response rates and margin of error.
For longitudinal programs, we build in the consistency needed to make trend analysis meaningful over time.
Data Collection
How you collect data shapes what data you get. Email surveys, intercept surveys, phone interviews, and in-person methods each introduce different dynamics — and different risks.
In B2B programs especially, who sends the survey, how the invitation is worded, and whether a real reply-to address is used all affect response rates and candor.
We design collection programs with closed-loop follow-up built in from the start.
Data Analysis
Data without interpretation is noise. Our analysis examines individual responses in context — pairing ratings with open-ended comments to understand the why behind the numbers.
That includes thematic coding of verbatim responses using our six-step process, cross-tabulation and subgroup analysis, and key driver analysis to identify what’s actually moving your scores. AI assists; human researchers lead.
Try Our Free CX Tools
We’ve built a suite of free tools to help you think more clearly about your surveys and your data — whether you’re designing a program from scratch or stress-testing what you already have.
- NPS Calculator — Calculate your Net Promoter Score and compare it against industry benchmarks.
- Survey Sample Size Calculator — Find out how many responses you need for statistically valid results.
- Survey Bias Buster — Paste in a survey question and get immediate feedback on leading language, vague wording, and skewed answer options.
- Survey Best Practices Quiz — Eight questions that score your current survey approach across strategy, bias reduction, and analysis — with specific recommendations to improve.
- Interaction Metrics GPT — Worried your survey’s too long? Not sure NPS still makes sense? Ask away. Our custom AI is trained by our team to deliver smart, bias-busting answers in real time. Serious insight. Zero fluff.
Trusted by Companies Like Yours
Let’s Build the Right Survey for You!
Stop settling for surveys that fall short. Let’s build a survey that gives you honest answers, drives action, and accelerates growth.
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