Heather Reid
Glofox

Biography

Heather started her career as a mathematician and software developer. As a result of her advocacy for end users and code quality, she moved to a testing role where she really began to shine. Heather continues to be passionate about delivering quality experiences to customers by encouraging collaboration within and across teams which she blogs about https://heatherreiduff.com/

About the Tutorial

Data Driven Decisions to Model User Behaviour

 

By applying a testing mindset to your decision-making process, we will take your decision-making to the next level. We’ll explore how to use whatever data we have to build better models of our customers and their behaviours. We’ll dive into how all of this can help you to prioritize where and what to test. Let’s learn how we can use what we have available to us to make better decisions.

 

Additional Details:

The target audience: Testers, Developers, Team Leads, Product Managers
Level of tutorial: Intermediate – some knowledge of testing required
Pre-requisites like knowledge of a tool or a programming language: No prior knowledge of tooling is required.
If attendees need to bring their laptop: Yes, or your phone as the test site we’ll use can be accessed from there but a laptop is ideal.
Takeaways/ what you will learn:
  • Explore challenges in decision-making for testing
  • Model user behaviour through data
  • Prioritize testing activities based on the data and model you have created activities based on the data and model you have created
  • Explore decisions made by others that use similar models
Why you would recommend the tutorial: Attendees will get a new perspective on assessing the risks their business and team need to mitigate. They will learn how to frame questions better to get the data they need to get the information they require.
Exact structure of the tutorial with timing and short description of the exercises
  1. Ice breaker – why did you decide to attend? (10 minutes)
  2. I want you to test a shop for rebranding. Write down how you would do it. (10-15 minutes)
  3. Group discussion: what made it difficult to make decisions about how you would test this? (15-20 minutes)
  4. Group activity – explore the information on the Google Analytics test dashboard and model an idea of how our users behave based on the data you have available to you. (Ask them how much they trust this data) (20-35 minutes)
  5. Individual activity – using this information how would you now approach testing this? (10-15 minutes)
  6. Group activity (with others on the table) – explore the decisions that others have made when deciding their approach of what to test. What can you learn from these new data points? (20 minutes)
  7. All workshop participants: What other information would you like to have had? Think about how the data could have helped you to obtain or argue for that information. (15-30 minutes)