Surveys are a powerful tool for gathering information, understanding preferences, and making data-driven decisions. However, the effectiveness of a survey largely depends on its design. Here are nine principles for strong survey design that can help you craft a survey that yields accurate and actionable insights.
Hei,
Jeg hjelper deg med å finne, forstå og formidle det som betyr mest for brukerne dine. Med analyse og innsiktsbasert rådgivning bidrar jeg til løsninger som gjør komplekse prosesser enklere og mer effektive. Klar for å lære mer?
Principles for a platform-wide analytics reporting
A platform in this context refers to a group of sites that share important characteristics.
Important questions include:
Who are the users? What do they need? If we have several user groups, we should prioritize and make choices. Which one is more important? And can we help all of them?
We should also take note of their needs today as well as make projections for the future.
Drawing on the previous post I put forward that our data should tell us our state, our direction and provide us with the ability to extract sense from vast quantity of data.
Three ground rules for your analytics setup
There are three key elements to a strong analytics setup. Whatever your system, workflow or software you need this needs to be in place. The essence is simple:
1. State Your data will not tell you what you need to know. You will have to instruct it. When you look out the window, you can tell what the weather is like. Your data should at first glance indicate how you are doing.