Mike writes the SurveyNinja blog: guides to survey design, customer and employee feedback, market research and survey data analysis. Many guides come with questions you can put in your own survey and, where it fits, a ready template.
Customer feedback
A practical guide to surveying customers who cancel a paid service. Choose the right moment, use a three-question cancellation form or a longer follow-up, separate payment failures, and turn the answers into decisions with clear denominators.
Customer feedback
A hotel guest satisfaction survey shows what guests liked and what went wrong while they stayed. This guide gives you 35 questions by stage of the stay, a ready 10-question post-stay survey, the right timing and channel for each survey, the rules for asking for online reviews and how to read the results.
Customer feedback
A customer satisfaction index combines satisfaction with several parts of your service into one number, weighted by how much each part matters to customers. This guide covers how to choose the attributes, how to word the CSI survey, how to calculate the index step by step, how to find what to fix first, and how the national ACSI works.
Customer feedback
Customer effort score asks one question right after an interaction: how easy was it to get this done? This guide covers the original and the revised CES question, three ways to calculate the score from the same answers, when and where to send the survey, what research says about CES and loyalty, and how to turn low scores into fixes.
Market research
A concept test starts with one design decision: does each person see one concept or several in a row? This guide compares monadic and sequential monadic tests, shows how many respondents each concept needs to reveal a real difference, explains order bias and rotation, and covers the questions to ask and when to add a direct comparison at the end.
Market research
The product-market fit survey asks one question that matters: how would you feel if you could no longer use the product? This guide covers the four questions, who belongs in the sample, how many answers make the result trustworthy, how to read the 40% line, and the segmentation engine Superhuman used to go from 22% to 58%.
Research methods
The statistical treatment of data is where Chapter 3 names every tool you will use and why. This guide matches each research question to its test, shows how the weighted mean and the Likert interpretation scale are computed, explains when a t-test or Pearson r is fair on survey data, and ends with a model section to adapt.
Research methods
The respondents of the study section is short, and panels still find the gaps in it. This guide covers what to say about your population, how to justify the number of respondents with Slovin's formula or a calculator, how to name your sampling technique honestly, and ends with a model section you can adapt.
Research methods
An alpha of 0.85 can be good news or a trap. This guide explains what the number means: which values count as acceptable and according to whom, why 0.7 is a convention rather than a law, when alpha rises without the scale getting any better, what a negative value gives away, and how to calculate it step by step in Excel, SPSS, R and Python.
Research methods
A correlation between two survey questions is the easiest number in your report to compute and the easiest to over-read. What r actually claims about survey answers, the Likert argument nobody wins, the sample size at which a coefficient stops being noise, common method bias, and how to present the result without implying cause.
Employee surveys
The glossary already explains what 360-degree feedback is. This guide is the other half of the job: how the questionnaire gets built, who rates whom, how many raters you need, what anonymity you can promise without lying, and how to read a report where the self-assessment and the team disagree.
Employee surveys
Exit interview data is biased by design. The person leaving wants a reference and a clean exit, so the polite answer is not the true one. A practitioner guide to who should ask, when to ask twice, live conversation versus a written form, and which questions actually work.
WooCommerce Post-Purchase Survey: 7 Questions, When to Ask and What to Do Next