A few months ago, you launched a knowledge-sharing platform in your organisation. It’s up and running — but how do you know whether it’s actually working for your people?
A well-designed satisfaction survey is one of the quickest ways to find out. It gets you real feedback from the people who matter — your users — and gives you the data you need to make targeted improvements.
This guide walks you through how to design one, from setting your objectives to choosing the right questions. We’ve drawn on feedback from Elium customers to build a question framework you can adapt to your own organisation.
Before you write a single question, decide what you want to learn. A focused survey is always better than a long one — we recommend a maximum of two objectives. Here are some good starting points:
Once you’ve chosen your two objectives, every question in the survey should map back to at least one of them. If a question doesn’t connect, cut it.
A satisfaction survey is only useful if enough people actually fill it out. Before you send it, run through these checks:
Now for the questions themselves. We’ve organised them into three groups, each building on the last. You don’t need to use every question — just the ones that connect to your objectives and that you can act on.
These questions help you segment respondents by role, experience, and usage. That matters — a user in customer success often has very different needs from someone in IT or HR. The answers here will also help you interpret everything that follows.
Why this matters: Users who haven’t had training often share very little. That doesn’t mean everyone needs a full training session — but a simple onboarding guide or checklist can make a real difference.
Two questions here. On their own, they won’t tell you exactly what to fix — but the scores give you a clear baseline and a way to track improvement over time.
This is where you get the detail — the answers that tell you what to do next. We’ve grouped them into five categories.
Understanding the platform’s role
Content and value
Structure and usability
Support and training
Open feedback
A survey is only as good as what you do with the answers. Once the responses are in, look for patterns — not just one-off opinions. A single piece of negative feedback might be an outlier. The same feedback from 10 or more people is a signal worth acting on.
Cross-reference your results with how people actually use the platform. If users say they can’t find what they’re looking for, check whether the content they need is actually there and well organised. If they say the platform doesn’t save them time, look at where the friction is.
How to know if your knowledge-sharing efforts are working is a good next step for ongoing measurement. And if you want to keep your content relevant beyond survey time, knowledge curation during the age of information overload covers the fundamentals.
A satisfaction survey tells you what people think. But your knowledge-sharing platform also generates data on what people do — and the combination is where the real insight lives.
Built-in analytics can show you things like search behaviour, content engagement, and where knowledge gaps are forming — without needing to ask a single question. That data is especially valuable now that the quality of your platform content directly affects how well your AI-powered features work. A well-maintained knowledge base doesn’t just serve your people — it makes your AI features perform better, too.
Use your survey results alongside your platform analytics, and you’ll have a much clearer picture of where things stand and what to work on next.
See for yourself how Elium makes it easier to build, measure, and improve knowledge sharing across your organisation.
Gregory Culpin is Chief Commercial Officer at Elium. With an engineering degree from UCLouvain and an MBA from Solvay Brussels School, he has spent nearly two decades in SaaS scale-ups and consulting, shaping go-to-market strategy, customer success, and commercial operations. He writes on how enterprises structure knowledge for AI readiness, operational resilience, and sustainable growth.
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Gregory Culpin