Everhour embeds timers and manual logging in Linear, then supports reviewed timesheets for cleaner estimate conversations.
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You came here to see whether estimates on Linear issues matched the work people actually logged. The useful output is a variance view: issue, assignee, estimate, tracked time, remaining time, and over-estimate hours. That gives a lead, manager, or owner one answer fast, whether the planned effort held for a specific issue, project, or date range.
A good comparison does not punish every overage. A two-hour estimate that lands at three hours can show under-scoped work, a changed requirement, or a late discovery. A six-hour estimate with one logged hour can mean efficient work, missing time entries, or an issue that moved without enough detail. The review starts with the number and ends with the cause.
Estimates on Linear issues are planning values, not clock time. Teams can use effort scales such as Fibonacci, Linear, Exponential, or T-Shirt sizes, and those values help size scope across issues. Actuals come from logged hours. The clean comparison keeps those units separate: points explain planned size, while tracked hours show measured effort.
A practical review groups issues by project, assignee, status, or tag, then compares estimate values with reported time. The mistake to avoid is treating one point as a fixed number of hours without team evidence. Start by tracking actual hours against completed issues, then use the pattern from similar work to improve the next estimate.
An estimate comparison works best after the work reaches a stable status. Updating estimates during delivery can be useful for planning, but it can also hide the original assumption. Keep the first estimate visible where possible, then compare it with the final tracked hours so the team learns from the gap instead of erasing it.
Variance needs a short explanation. Under-estimated issues often include vague scope, hidden review work, dependency delays, or implementation details that were not known during planning. Over-estimated issues can show repeatable work, automation, or a simpler solution than expected. A useful note names the reason, so the next project plan gets sharper than the last one.
A one-off comparison is enough when you need a quick read on one project or a few recently closed issues. It helps you spot obvious estimate misses, check whether time was recorded, and prepare a cleaner status update. The result is still a snapshot, so it works best for small teams and short review windows.
A managed workflow is better when estimate accuracy affects billing, staffing, or future budgets. Everhour adds timers, manual entries, timesheets, approvals, and locked periods around the time record. That gives managers reviewed weekly hours before variance analysis feeds reporting, budget reviews, or client-facing decisions.
This content is for general information only, may not be fully up to date, and is provided without any warranty or liability.
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G2
Summer 2026
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Capterra
Summer 2026
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Keep estimate values and tracked hours in separate columns, then review the variance by issue. Use estimate values to understand planned effort and logged hours to measure actual work. Add assignee, project, status, and tag context so the variance points to a real delivery reason instead of a raw number.
Points and hours serve different jobs. Estimate values size effort for planning, while hours measure time actually spent. A team can study historical patterns between the two, but a direct one-point-equals-one-hour conversion creates false precision and makes future plans look cleaner than the underlying work record.
Include issues with an estimate, tracked time, and a completed or review-ready status for the period you are analyzing. Exclude abandoned work, duplicate issues, and placeholders unless you label them separately. Mixed data makes the comparison harder to trust because planned scope and actual work no longer describe the same job.
A large estimate with little or no tracked time deserves a time-entry check before anyone calls it efficient. Review the assignee, activity period, and status change. Missing logs usually appear as completed issues with no matching work record, or as several small manual entries added after the work was already done.
Weekly review works for active delivery teams because the context is still fresh. A monthly review fits owners and finance teams that need trend data for budgets. The review should use the same date range each time, so changes in estimate accuracy reflect work patterns rather than shifting reporting windows.
Everhour Timesheets collect weekly project hours and working hours so managers can review time before billing or payroll. Team members submit time, and admins can approve, reject, partially approve, or lock entries before reviewed hours move into reports.
Everhour Reporting can include logged time, task estimates, remaining time, and over-estimate hours in configurable reports. Managers can group the data by project, task, or member, set a date range for the report, then export it for planning reviews, budget checks, or client discussions.
Review weekly time before comparing planned and actual work. Everhour gives teams approved timesheets that make estimate variance more useful for future budgets.
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