Data Analytics for Policy
Welcome to this resource for Policy Practitioners
This website is a result of a Service Innovation Lab project with involvement from policy practitioners from across government exploring how to improve submission analysis processes, especially when dealing with large amounts of submissions.
Pages
There are three pages on this website:
Available Tools
This page has a list of tools used to process submissions on policy proposals and describes what they do.
Submissions Analysis and Machine Learning This page explains and supports the understanding of machine learning use for submissions analysis. The page also includes a demonstration of a machine-learning-based software and a recommended approach to using it to give an early indication of key themes, which is particularly useful when processing large quantities of feedback.
Feeding back to those who submitted
This page sets out how you can report the findings from engagement or consultation back to those who made a submission. The page shows how you might include your participants throughout your analysis process and finally close the feedback loop with them at the end of your analysis.