Research · · Verified
Do Offshore Timesheets Reconcile with System Activity Records?
A reconciliation method for comparing offshore timesheets with queue, login, and ticket activity without treating every minute of silence as a problem.
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A timesheet records what a person says they did, while a system log records what the account actually touched. The two records rarely match perfectly, and a perfect match is not the goal. The useful question is whether the differences are explainable, bounded, and consistent with the work. This method defines a reconciliation that a manager can run on a small sample without turning the queue into a surveillance system. Use the research library and offshore staffing services to connect the result to a broader control plan.
Reconciliation is not a substitute for supervision or a way to prove honesty. It is a check on whether the recorded hours and the recorded work describe the same job. When the records disagree, the cause may be a rounding rule, a meeting, a training block, an offline task, or a genuine gap. The method should distinguish those causes before anyone draws a conclusion.
Research question and decision supported
The question is whether the hours recorded on the timesheet can be explained by the activity recorded in the systems the role uses. The decision supported is whether the timesheet process is reliable enough for billing and capacity planning, and whether a specific exception needs review. A second decision is whether the role has offline work that the systems cannot see and therefore needs a different evidence source. The method should also state whether the review covers billing, capacity planning, or both, because the tolerance may differ.
State the answer per person and per period, not as a single company percentage. A high match in one queue can hide a low match in another. The output should name the period, the role, the systems included, the exceptions, and the reviewer who accepted the explanation. Add the queue and the shift to the report so a reader can see whether the pattern follows the work or the schedule.
Unit of analysis and population
Use one person-day as the unit, because that is the level at which a timesheet is usually completed and a manager can ask a question. The population is the set of person-days in the review period for the role in scope. Include days with leave, training, and meetings so the reconciliation covers the full range of recorded time. If a person changes role during the period, split the record at the change date rather than averaging across two jobs.
Exclude days where the system was unavailable or the person had no queue access, but list them as a separate category. A day with no activity because of an outage is not a timesheet defect. Record the reason so the exclusion is visible and does not look like a convenient omission. List the excluded days with the reason and the source, so the exclusion can be checked rather than trusted.
Data dictionary
The timesheet side should include the person, the date, the hours, the task category, the queue or project, and any note. The system side should include the account, the login and logout times, the ticket or item identifiers touched, and the timestamps of the actions. Add a field for the data source and the extraction time so a later reviewer can reproduce the sample. If the system records only the last action, add a second source such as the queue history before comparing the hours.
Define how time is rounded on both sides. A system may record an action at 09:07 while the timesheet rounds to 09:00, and that difference is not a defect. Define the tolerance before looking at the data. A tolerance that is chosen after the result is known is not a fair test. Write the tolerance in the report before the comparison.
Sampling and collection
Sample at least one full week per person, including a busy day and a quiet day. If the team is large, sample by role and by shift rather than by convenience. Pull the timesheet and the system report for the same period and store them together. Do not edit either source before the comparison. Note any missing day and exclude it from the rate.
Ask the person to annotate the timesheet with offline work such as meetings, training, reading, or waiting for access. These notes are not an excuse; they are data about what the system cannot see. If the role has a large offline component, add a second evidence source such as a meeting record or a training log. If the offline notes are vague, ask for one example rather than rejecting the whole day, because the goal is an explanation.
Matching method
Match at the day level first, then descend to the task level only where the day-level comparison fails. A day-level match asks whether the total recorded hours are plausible given the activity and the role. A task-level match asks whether a specific block of time is supported by a specific item. This sequence keeps the review proportionate.
Use three outcomes: explained, partially explained, and unexplained. Explained means the records align within the tolerance or the difference has a documented offline reason. Partially explained means some hours have a reason and some do not. Unexplained means the difference has no evidence and needs a conversation. Record the outcome and the evidence for each person-day.
Tolerance and exceptions
Set the tolerance from the work, not from a wish for a clean report. A queue role with continuous system activity may support a tight tolerance, while a role with meetings and research may need a wider one. Write the tolerance in the method and apply it to every person in the sample. Review the tolerance after the first cycle and adjust it with a reason.
Treat a repeated unexplained difference as a process question before a conduct question. The person may be recording time in the wrong category, the system may be missing a tool, or the queue may be assigning work outside the system. Ask for the explanation and check it against the evidence. Only escalate when the pattern remains unexplained after the process check.
What a mismatch can mean
A mismatch can mean the timesheet category is wrong, the person worked offline, the system log is incomplete, or the recorded hours include waiting time that the system does not show. It can also mean the person recorded time for work that was not performed, but that is one explanation among several. The method should not jump to the last one. The report should describe the pattern before it names a cause, so the reader can see the evidence that led to the conclusion.
Look at the pattern across days and people. A single quiet day is weak evidence, while the same gap every Monday suggests a recurring meeting or a batch process. A gap that appears only for one person and one task is more specific and deserves a closer look. Describe the pattern before naming a cause.
Privacy and worker trust
Tell the team what will be compared and why before the first cycle. Explain that the purpose is to improve the timesheet and the system coverage, not to rank people. Keep the working files restricted to the reviewer and the manager. Do not share raw logs in a group channel. Answer questions before the sample, not after the result.
Use the minimum data needed for the comparison. A ticket count and a timestamp may be enough; the customer content is not. Apply the same retention rule to the reconciliation file as to other work records. If the review finds a sensitive access issue, route it through the access process rather than the timesheet discussion.
Limitations and error
System logs do not capture thinking, reading, waiting, or helping a colleague. A role with a large offline component will always show a wider gap, and the method should say so. The sample may also miss a monthly task that falls outside the review week. A clean result for one week is not proof of a clean year.
The person may change their recording behavior during the review, which can make the first cycle look better than normal. Compare with a prior period if one exists and note the difference. Treat the result as a baseline for improvement, not a final verdict. Compare the first cycle with a later cycle to see whether the recording behavior changed after the team knew about the review.
Reporting and follow-up
Report the period, the people, the systems, the tolerance, the counts of explained, partially explained, and unexplained days, and the exceptions. Include a short list of process fixes such as a missing offline category, a new system integration, or a clearer rounding rule. Give each fix an owner and a date. Include the tolerance and the matching rule in the report, because a different rule can produce a different count.
Repeat the reconciliation after the fix and compare the unexplained count. If the count does not move, the cause may be the tolerance or the evidence source rather than the people. The goal is a timesheet that a manager can trust for billing and planning, and a system record that reflects the work the team actually does. If the unexplained count falls but the total hours also fall, check whether the fix reduced work rather than improved recording.