Overview
About Anomalies :
Anomalies are unexpected spikes in your feedback data that provide valuable insights into your product. These data points represent significant deviations from standard patterns, manifesting as abrupt volume, sentiment, or content shifts.
About Visualisations :
Enterpret provides you with two types of graphs to better understand your feedback and find patterns.
Bar charts show the aggregate of different categories of data, helps you compare the data points side by side.
Trends + Anomalies Chart helps identify significant deviations from standard patterns, manifesting as abrupt volume, sentiment, or content shifts, we refer them as Anomalies.
What are the use Cases of Anomalies?
Identifying product issues: Spot sudden negative feedback spikes to address potential problems.
Monitoring feature impact: Gauge user reception of new features or updates through feedback changes.
Assessing marketing effectiveness: Detect successful campaigns via increased positive feedback or tracked keyword mentions.
Detecting opportunities: Discover areas of excellence by identifying sudden increases in positive feedback or reasons.
Improving customer support: Evaluate support quality and identify improvement areas.
How do we discover Anomalies?
Click on
Quantifyin the side navigation bar.Switch to
Trends + Anomaliesfrom the visualization options at the top of the screen.
View the trend chart to identify any anomalies.
To control anomalies visualization, click the
Show Anomaliestoggle to enable or disable the view.
Anomalies are represented as spikes or dips in the graph, represented by the red dotted line here. You can hover over it to view details.
How do we define anomalies?
We use Z-Score to configure Anomalies.
A Z-score is like a scorecard that tells us how different a specific data point is from the average, using a common unit known as standard deviations. It helps us determine if a data point is typical or unusual compared to the others
Imagine user feedback as the speed of a car on a daily commute. The car usually travels at a consistent speed (average), but occasionally it goes faster or slower. A z-score of 2 means the car was two "steps" (standard deviations) faster than its average speed on a particular day, suggesting exceptional driving conditions that should be examined.
Using z-scores helps us identify interesting trends or patterns in user feedback, enabling us to make informed decisions and uncover new opportunities for enhancement.
Z-scores are a highly credible and widely used statistical tool, allowing for consistent and reliable comparisons across various datasets.
You can learn more about Z-Score from this Wikipedia article.
How to configure Anomaly detection?
By default, Enterpret sets anomalies at a z-score of 1.5, but users can adjust the sensitivity of the anomaly detection to suit their needs better. Here are the steps to configure anomaly detection sensitivity:
Click on the gear icon next to the
Show Anomaliestoggle on the Trends + Anomalies page.
Select the "Custom" option from the menu.
Use the stepper to adjust the z-score threshold to your preferred level of sensitivity.
Click on the
Applybutton to save your changes.
You can always revert to the same settings by following the same steps.
By customizing the sensitivity of anomaly detection, you can better filter out noise or identify subtle changes in your user feedback data, providing you with more precise insights into user experience and product performance.
How to setup Anomaly & Visualisation reports?
Subscribing to anomaly reports enables you to receive regular updates on unusual patterns or deviations in your data, automatically delivered right where you want it.
Create your Quantify Query.
Save your Quantify by clicking the
SAVEbutton. To understand better about how to save a Quantify query, Click here.Navigate to the desired dashboard through the Side navigation bar to display the Anomalous Quantify chart that you have created.
Click the
ADDbutton in the top right corner of the dashboard.
Choose "Add Existing Analysis" and select the appropriate analysis to include.
Choose the Quantify for which you want to receive the Anomaly reports for from the Saved items.
The Quantify will get added to the dashboard and will be displayed like this.
Subscribe to the Dashboard to get regular updates and Anomaly reports. You can understand the detailed Subscribe flow here