# Did an app update change clock-in reliability? A check for attendance administrators *Prepared for the Insacheck publishing project. This is a documentation-based feature review. The incident below is fictional; no live deployment was tested.* Suppose a warehouse updates its time clock app on Monday. On Tuesday, supervisors receive several reports of missing clock-ins. The timing makes the update worth investigating, but it does not identify the cause. The early shift might also have changed entrances, networks, or check-in methods. ## Compare like with like before escalating 1. Pick a narrow window and record the site, shift, and check-in method involved. Keep the old and new app versions separate where you can. 2. Compare successful clock-ins from the two version groups under similar conditions. A version with more employees can produce more incident reports even if its failure rate is unchanged. 3. Capture failed attempts separately, using a controlled test or contemporaneous incident reports. A log of successful attendance records cannot tell you how often an attempt failed before any record was created. For example, if reports come from the loading bay but not the main entrance, run a paired test with the old and new versions at the same entrance and on the same network. If both versions fail at the bay, check the local conditions before treating the app update as the cause. ## What Insacheck contributes The [Insacheck attendance documentation](https://insacheck.com/attendance) says attendance records retain device metadata such as operating system, model, and app version. Those fields can help identify which configurations produced saved records during the incident window. The documentation does not establish that failed attempts produce an attendance record, that every client exposes the same fields, or that the fields are available in a particular export. Verify field coverage on the clients you use before relying on a version comparison. Keep the incident note free of employee identifiers and device serial numbers. Record the conditions, the observed result, and whether the failure can be reproduced. That gives a support team something more useful than a list of missing punches and a suspected release date.