To help you, we have different guidance on survey research, including guidance on survey development and e-learning on survey design, which cover tips and best practices for survey research. Alongside our guidance on survey development, you can use the guidance on writing your own survey questions and a question bank, which contains various template questions for you.
To make things easier for you, there is also a template cost of living survey, which you can use to collect information about the impact of the cost of living on people’s health and wellbeing.
If you’re new to Smart Survey, don’t forget to check out the guidance showing you how to get started.
We have information and guidance on carrying out mystery shopping and Enter and Views too, with an Enter and View training pack.
The guidance on getting the right sample introduces you to different sampling methods and provides examples of projects to outline when each sampling approach could be appropriate.
There’s guidance on how to collect demographics and use demographic data and an e-learning course on demographics. These resources cover why it’s essential that we collect demographic data, which questions you should ask, when it’s best to ask demographic questions and tips to support you in asking for demographic information.
We also have guidance on partnering with local GPs to contact patients via text message.
To help ensure that you comply with legal regulations around data collection, we have e-learning about the UK General Data Protection Regulation (GDPR) and guidance wording consent.
The guidance on analysing qualitative data takes you through why it’s important to analyse qualitative data, how to prepare your data for analysis and the process for coding your data. This helps you easily identify, explore and explain key themes to present your findings.
Our introductory guidance on quantitative research highlights methods of descriptive and comparative analyses that you can use to make sense of the data you’ve collected. This includes top tips for analysing and visualising your data.
We also have a five-part e-learning course on using Excel. In addition to introducing Excel, these courses also show you how to carry out descriptive and comparative quantitative data analyses, covering data organisation and transformation; visualising data using charts and tables; pivot tables; using formulas; and aggregating data.
If you are using Smart Survey, take a look at the guidance on using the analysis tools it provides, which can let you look at both text and numerical responses, break your data into subgroups, and create charts.