Analyze Day-of-Week Trends
Overview
Ever wondered if your support calls tend to increase on Mondays, or if customer sentiment is generally better on Fridays? This feature allows you to uncover these kinds of recurring patterns in your data.
By analyzing trends based on the day of the week, you can gain valuable insights into your customer interactions and operational patterns. This helps you to better understand your workload, identify potential issues, and optimize your resources.
How It Works
You can use the Date Range picker in the Dashboard or Explore view to analyze data for specific days. While you can't directly select "Every Monday," you can select individual dates. For more advanced analysis of day-of-week trends, you can export your data as a CSV file and use spreadsheet software like Excel.
Getting Started
To access this feature, go to Dashboard or Analyze Data in your Intercom account.
Step-by-Step Guide
1. Select Date: Click the calendar icon in the top right of your Dashboard or Explore view. Select a specific single day (e.g., "Oct 13 to Oct 13").
2. Observe: The dashboard charts will update to show only that day's volume, sentiment, and keywords.
3. Advanced Analysis: For recurring trends (e.g., "All Mondays"), go to Explore, select all files, and click Export CSV. Open the CSV in Excel and use a formula like =WEEKDAY(Date) to group your data by day of the week.
Related Prompts/Features
Data Export
Date Filtering
Pro Tips
Creating a "Monday" tag and auto-tagging files based on their creation date (via Zapier) is a powerful automation workaround for identifying specific days.
Troubleshooting
Timezone Issues: Ensure your account timezone matches your local time. This way, when you select "Monday," it accurately reflects your local Monday.
Next Steps
Ready to uncover your day-of-week trends? Here's what to do next:
Login to your account and navigate to the Dashboard or Explore view.
Try it out by selecting a specific date to see how the data changes.
Export your data to Excel and use the
WEEKDAYformula for more in-depth analysis of recurring trends.
Need help? Contact our support team or check out our other guides.
