Full-day workshop Wednesday 1 May 2019 in Melbourne CBD
Plus optional half-day masterclass on 5 June
Bookings essential: ATEM website
Discounted price for members of the Association for Tertiary Education Management (ATEM)
Many organisations run regular surveys of their customers and employees. The results are typically reported at a whole-of-institution level. What happens when you need more detailed information about a service, project or initiative in your particular department? What if you’re a smaller business that doesn’t have a team of analysts on call?
Online tools like SurveyMonkey offer a cheap (or free) mechanism for collecting data and creating simple reports. They are ideal for projects where you need to demonstrate the success of an initiative, explore an idea for a new service, or get a better understanding of customers (students, staff or external).
This workshop provides an introduction to analysing and presenting survey data, with tips for planning a survey, analysing the results and presenting them to others.
Your chosen survey tool should be able to produce basic reports: with a bit of extra effort you can turn your data into a compelling and insightful report or presentation.
Who should attend
Team leaders, new managers, administrative staff who are directly involved in leading small projects and service innovations.
Participants should have some experience with using Microsoft Excel (auto-sum, simple charts and formulas).
You will need to bring a laptop or notebook computer. During the workshop we will use Excel and other tools from the Microsoft Office 365 suite (Mac or Windows).
After completing this development program, you will be able to:
- Draft a data plan for a customer research project
- Design and test a prototype of a customer survey
- Perform basic analysis of quantitative and qualitative data
- Visualise data with appropriate graphs and images
- Choose a suitable reporting method for a survey’s results
Not included: creating and running an online survey; analysis of complex data sets; large-scale surveys requiring advanced statistical analysis.