Once you’ve analysed your data, it’s important to understand what it is telling you about your work – what has gone well and what could be improved.
Why is interpretation important?
While your analysis is about making sense of your data, interpretation is identifying how to use your findings to improve your work and tell your story. It involves deciding which aspects of your findings are the most interesting and important.
How to interpret your findings
Go back to your research questions and priority areas and review the five types of data framework. Ask yourself:
● What has worked well? What hasn’t worked well?
● Which findings matched our expectations? Which findings surprised us?
● Which questions does our data answer? Is it telling us anything else?