Survey Analytics
Learn how to analyze survey data from basics to advanced techniques
Showing 16–19 of 19 articles
Survey Metrics by Industry: What Different Fields Actually Measure (2026)
NPS, CSAT, and CES became popular for good reasons - one question, fast to field, easy to trend over time, and decades of case studies behind them. But that same simplicity is exactly why they get reached for reflexively, even outside the commercial relationship they were built to measure. Plenty of fields have grown their own validated instruments instead - Gallup's Q12 for employee engagement, CAHPS for patient experience, NSSE for student engagement, the Sean Ellis test for product-market fit - each with real question wording, real components, and real research behind why they're built the way they are. This guide researches those instruments properly: the actual questions, the actual scoring, real benchmark numbers where they exist, and where borrowing a metric from a different field quietly does more harm than good.
NPS Analysis: Beyond the Score (2026)
Net Promoter Score is one of the most tracked numbers in business, and one of the least acted on - a quarterly score that goes up or down with no clear explanation of why, reported in a dashboard and then quietly ignored until next quarter. This guide covers what NPS actually measures, why the score alone is a lagging indicator rather than something you can act on directly, and how to find the drivers underneath it - the specific things that separate your promoters from your detractors - so the number becomes something you can actually do something about.
Turning a Vague Business Question Into an Analyzable Survey (2026)
Most survey analysis fails before the first chart ever gets built, because the question behind the survey was never specific enough to answer. 'Are our customers satisfied?' can only ever produce a number, not a decision. This guide covers how to turn a vague business worry into a question your data can actually answer - what makes a question analyzable in the first place, worked examples of vague-to-specific rewrites, and how the sharper question changes what you should even be asking respondents.
Beyond Averages: The Professional's Guide to Survey Analysis That Drives Decisions
Professional survey analysis framework covering hypothesis formation, cross-tabulation complexity, open-ended transformation, and narrative construction.