Read the story behind it…

It’s often best to keep things simple.

This example is a simple procedure written in a conversational style to help marketers to quickly get up to speed with Anomaly Detection in Programs. This cloud-based service provides marketers with timely, actionable warnings and analysis related to their automated email marketing campaigns. Marketers access this service through a dedicated user interface.

Simplicity was key. The goal was to keep the documentation as lightweight and integrated as possible. The topic is built around annotated screenshots of the UI. We knew that the users were experienced with the Programs UI. Only anomaly detection was new. So, I focused on helping users (marketers) find the new functions and understand key metrics. The goal was for the marketeer to consume it all in less than 5 minutes.  

Audience: Email marketers who run automated email programs.

Noteworthy: The article contains only one traditional step-by-step procedure. This is by design. The UX team made the UI as intuitive as possible. Because I had worked closely with UX and Product Management on the UI language, I was certain that a few simple steps and explanation of terms would suffice. The result is a simple topic that is part procedure, part overview.

Tools:

• Techsmith Snagit for screen captures and mockups
• Sketch for collaboration with UX
• Zendesk and Markup for authoring and production
• MS Word and Adobe Acrobat for reviews

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What is Anomaly Detection in Programs?

Programs are automated email campaigns that marketers can design to run automatically and interactively. They are capable of automatically sending different follow-up emails depending on how email recipients respond.

Anomaly Detection in Programs monitors outbound email delivery and inbound responses. It uses AI-supported algorithms and statistics to predict behaviors and identify anomalies – defined as behaviors and actions outside of the boundaries of the model’s predictions.