What is engagement automation?
Engagement automation uses machine learning to personalize mass communication to individual testers in a way that drives ongoing project participation. Engagement automation uses auto-reminders for features that participants need to evaluate and keeps them engaged and up-to-date with ongoing outreach about the project as it progresses.
Why is engagement automation important?
Engagement always seems to be a problem in alpha, beta, and user tests in general. Too little, not enough depth, and not enough coverage are the most common issues that come up in terms of engagement. By automating the process of communicating with testers, companies see a significant increase in engagement with their projects.
Some of the benefits of engagement automation include:
- More testers completing activities and more coverage of testing
- More feedback submissions (issues, ideas, and praise)
- Higher quality and depth of feedback
- Easier to create engagement benchmarks across an organization
- Higher confidence in product launch or release
How does engagement automation work?
Engagement automation takes the process of communicating with testers from the start of the prep phase through the closure phase of testing.
Engagement automation:
- Explains the purpose of testing to testers
- Announces the start of each phase and what activities to complete
- Reminds testers to complete activities and submit feedback
- Lets testers know when the end of a phase is coming up
These types of messages are all based on intelligence of knowing whether a tester has:
- Participated in a project before
- Completed activities for a given phase
- Submitted feedback for a given phase
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