How many users are dropping off from a Flow?
- 20 Mar 2025
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How many users are dropping off from a Flow?
- Updated On 20 Mar 2025
- 1 Minute To Read
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Consider that you've created a Flow and added it to an onboarding Pop-up to guide users through a new process. Based on your Trend Insight analysis, the number of users who start the Flow significantly exceeds the number of users who complete it. Understanding any friction in the Flow that causes users to drop off without completing the process is essential.
Use Funnel Insights to analyze the number of users completing each step of the Flow and identify where the most significant drop-off occurs. This data enables you to update the Flow step that has the highest drop-off, improve UI friction, or even create a Cohort out of the most dropped off step for further analysis.
Use the following steps to analyze the number of users who drop off from a Flow:
- On the Whatfix Analytics dashboard, click Insights.
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Click Create insights.
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Click Funnel Insights.
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Click the Edit icon to name your Funnel.
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Enter a Description that explains the purpose of the Funnel.
Info
- The Description gives you context about the created Insight when added to a Dashboard.
- It also enables stakeholders to understand the data the Insight depicts while viewing Dashboards created by other team members.
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Click Add, and then click Flows.
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Select the Flow that you want to visualize as a Funnel.
your title goes here
- Add all the steps in the Flow or just the required steps.
- If you've added the same Flow to other widgets such as Self Help, Task List, and more, click Trigger location to visualize engagement.
- In the User filter section, click Add user filter, and then select the desired filter. Filter users engaging with the Flow based on a particular country, city, browser, and more.
Info
- To exclude specific filter values for which you don't require data, see How can I exclude filter values in Product Analytics?
- By default, Product analytics data may contain identified users (identified by User ID) and unidentified users (not identified but denoted by cookie values) users. To filter unidentified users for clearer data, see How can I filter unidentified users in Product Analytics?
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Scroll down to view the generated chart.
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Click Save.
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