Surveys
Exploratory, descriptive or causal — from the hypothesis through the questions to an analysis that holds up.
Designing surveys
A survey is only as good as the question it starts with.
Surveys are a key tool for investigating markets, opinions and conditions across all kinds of target groups. Often they are carried out and then barely analysed — because the questions never allowed a reliable evaluation.
- What is the hypothesis, and which core question should be answered?
- What should be measured, and how?
- Which attributes will be compared afterwards?
We distinguish three types of survey — which one fits depends entirely on your question.
Exploratory
Clarifies possible problems, areas of potential growth and questions that call for statistical research.
Descriptive
Explores the opinions, attitudes or behaviour of a defined group of people to better understand a topic.
Causal
Clarifies what is cause and what is effect — and which relationships exist between causal variables and expected effects.
Evaluating surveys
We help you tell causation from correlation. That way you avoid misread statements, errors caused by outliers and poor decisions. A well-designed survey is a powerful tool for strategic decision-making.
More services
Data cleansing
Cleanse, normalise, deduplicate and merge. For Swiss company addresses, we can also match against official Swiss sources.
Analysis
Customer bases, web analytics and quality analyses. Where are the hidden duplicates, which campaign actually worked.
Generating data
Synthetic test data with deliberate outliers for system testing — and imputation when values are missing.
Automations
Reports, recurring data preparation, transfers between systems. Also robotic process automation for forms and interfaces.
Training & workshops
On every service, plus introductions to R, RStudio, R Shiny and Excel. Afterwards, you can do it yourself.
Custom requests
Your problem doesn’t fit any box? Tell us what you need — we’ll do our best to help.