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The CW Late Time Entry Analysis application is is a comprehensive package of bots and widgets powering up reports related to Late Time Entry. With this app, you can easily monitor your time entry metrics at the company or individual level. As a result, you'll know how to resolve late time entry issues when they arisewidgets and bots that helps you track your late time entry performance on a company level and on your individual users. MSPbots also integrated a Team Game feature where you can team up your users in healthy competitions of logging time entries that creates an environment where everyone in the group hopes that everyone will do well.
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App Link
ConnectWise Late Time Entry Analysis
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Here are some of the late time entry issues that our Late Time Entry Analysis app can help you avoid:
- When Inaccurate Time Entry Details - when employees wait too long to log their time entries, they forget about the details of the ticket, affecting the accuracy of the time entry such as as what happened, when it happened, and how long it took to complete.
- Missed Billable hours - when time entries are late, some billable hours cannot be available on time or worse, are missed from being documented.
- Incomplete data for utilization and agreement profitability computations - Some of the very important KPIs like utilization and agreement profitability heavily rely on an accurate time entry, so the accuracy of those KPIs will be affected too.
- If Ineffective collaboration between techs and client alignment - if the clients or other employees want to know what happened to certain tickets, and the employee who did the job didn't log the time entry on time, it will be difficult for the clients and other employees to understand what happened to the ticket and what needs to be done next.
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- ConnectWise Manage Late Time Entry Alert 3.0 (Real-Time). This bot alerts users whenever they log a time entry after their scheduled ticket end day and time.
- ConnectWise Late Time Entry Ranking praising Bot. This bot sends an alert to the Team and Per User Monthly Leaderboard These bots sends a message to the Microsoft Teams service channel to praise the top 3 best technicians every Monday.Weekly Admin Late Time Entry Reporting Bot. This bot sends you an email every Monday about your MSP ranking of the issue.most improved team and user with best time entry metrics when the month ends
- ConnectWise Late Time Entry Team and Per User Weekly Leaderboard These bots sends a message to the Microsoft Teams service channel to praise the most improved team and user with best time entry metrics every Monday
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Widget Components
There are late time entry reports that you can access with the Late Time Entry Analysis app. Each report has various widgets that help you monitor the time entry metrics of your company and employees.
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The ConnectWise Late Time Entry Report – Company report shows a detailed analysis of the overall late time entry values for your company. Here are the widgets in this report:
| Widget Name | Description |
|---|---|
| CW Late Time Entry Trends Compared to Other MSPs | This widget shows the company's late time entry trends and compares them to other MSPs and the top 20% of MSPs using MSPbots. Note: Since this widget has data compared to the global ranking, the late measurement is set as 5 minutes by default. |
| Late Time Entry Details per User Last 7 days | This widget shows you a breakdown of each user's time entry details for the last 7 days. |
| CW Avg Time Entries Per User | This widget shows the ratio of time entries per user for your company for the last 7 days excluding today. |
| CW Late Time Entries Per User | This widget shows the ratio of late time entries per user for the last 7 days excluding today. |
| CW Avg Late Hours per Time Entry in MSP | This widget shows the ratio of late hours per time entry within the company for the last 7 days excluding today. |
| CW Avg Late Time Entry Duration (In Hours) | This widget shows the ratio of late time entry hours per user for the last 7 days excluding today. |
| CW Late Time Entry Detail per User (Previous Week) | This widget shows the breakdown of each user's late time entry details for the last week (Monday to Sunday). |
| CW Summarized Late Time Entry Details (Previous Week) | This widget shows a summary of the late time entry details for each user from the previous week (Monday to Sunday) |
| CW Users with the Most Late Time Entry Hours (Last 7 Days) | This widget shows the top 5 users with the most late time entry hours for the last 7 days. |
| CW Users with the Most Late Time Entry Count (Last 7 Days) | This widget shows the top 5 users with the most number of logged late time entries in the last 7 days. |
| CW Late Time Entry Distribution | This graph shows the frequency distribution of late time entries. |
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ConnectWise Late Time Entry Report - User
The ConnectWise Late Time Entry Report - User report shows a detailed analysis of late time entry issues per employee. Here are the widgets in this report:
| Widget Name | Description |
|---|---|
| CW Late Time Entry User 28 days | This widget shows the late time entry trends of the user for the past 28 days. Click the points on the different intervals to see how many among their time entries are late. |
CW User Late Time Entry Trends ( Late > 1 min ) | This widget shows the trend of the user's late time entries for the last 16 weeks. This also shows how you compare against the company average, other MSPbots users, and the top 20% of MSPs. Since this widget has data compared to the global ranking, the late measurement is set as 1 minute by default. |
CW Late Time Entry Count. | This widget shows the user's number of late time entries for the last 7 days excluding today |
| CW Time Entry Count | This widget shows the number of time entries logged by the user for the last 7 days excluding today. |
| CW Late Time Entry Percentage | This widget shows the user's percentage of total late time entries vs time entries for the last 7 days excluding today. |
| CW Time Entry Percentile ( Late > 1 min ) | This widget shows the percentage of users within MSPbots that you surpassed in terms of late time entry percentage. For this widget, the higher the percentage better. Furthermore, since this widget has data compared to the global ranking, the late measurement is set as 1 minute by default. |
| Last 16 Weeks CW Time Entry Statistics and Ranking ( Late > 1 min ) | This widget shows the user's time entry statistics and ranking for the last 16 weeks. Since this widget has data compared to the global ranking, the late measurement is set as 1 minute by default. |
| CW Total Late Hours | This widget shows the total late hours entered during the last 7 days. |
| CW Hours Late Per Time Entry | This widget shows the ratio of hours late per time entry for the last 7 days excluding today. |
| CW Late Time Entry Additional Details (Last 7 Days) | This widget shows the additional details related to late time entries for the last 7 days excluding today. |
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ConnectWise Late Time Entry Report – Team
The ConnectWise Late Time Entry Report – Team report shows a detailed analysis of late time entry issues perteam. Here are the widgets in this report:
| Widget Name | Description |
|---|---|
| Avg Late Time Entry Duration (In Hours) Per Team | This widget shows each team's average late time entry duration and improvement rate. |
| Avg Late Time Entry Duration (In Hours) Team | This widget shows each technician's late time entry duration and improvement rate. |
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Related Integration
- ConnectWise Manage
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On the CW Late Time Entry Settings page, account administrators can adjust the settings for the ConnectWise Late Time Entry Analysis report. Here are some configurations that administrators can do to the report:
- Set the tolerable average late hours for your MSP which is a baseline of how we assess your best performing employee in logging time entries.
- Exclude specific users who are not required to have time entries.
- Exclude specific work types to not include them in your metric computations.
- Set the number of minutes past the ticket's scheduled end time that is considered late.
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Overview
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