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Random freezes, missing sound and display glitches usually trace back to one bad driver. Find and replace yours safely.Free scan · under a minuteA marketing team waited nine weeks for a customer-portal quote-form change that its developers estimated would take two days of hands-on work. Both figures can be accurate: effort measures active work, while elapsed lead time measures the full interval from request to delivery. In a first-person account published by Serguey Shinder on DEV Community on October 2, 2026, the gap came largely from waiting between stages—not nine weeks of coding.
How two days of work became a nine-week wait
Shinder describes a marketing director asking for a change to a customer-portal quote form so her team could record how customers heard about the company and assess campaigns. The development team estimated two days of work, but the director received the change nine weeks after making the request.
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The mismatch was not that one side had misread the calendar. The estimate described the work people would actively perform; the nine weeks described the customer-facing journey from asking to receiving. As Shinder puts it, “She had never asked how long it would take us to do. She had asked when she would have it.”
In a six-month retrospective of completed requests, Shinder reports a median of three days of effort per request and a median of 47 days from request to delivery. Those are figures from one team’s account, not independently audited records or industry benchmarks.
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Where the time went
The account describes requests waiting at several handoffs: triage, estimation, sprint planning and release. A request could spend little time being actively worked on yet remain in the system while it waited for a decision, a place in a sprint or the next release. No one owned the total request-to-delivery interval across those stages.
That made the team’s existing measures incomplete from the marketing director’s perspective. The team judged itself by effort, utilization and whether delivery matched the estimate. Those measures could show that the work was handled efficiently once underway while leaving the requester without a useful answer to the question of when it would arrive.
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Shinder captures the operational consequence this way: “Most of what a department experiences as IT being slow is time in which nobody in IT is working on its request at all.” This is his explanation of the team’s experience, not a universal measurement of IT work.
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What the team changed
Shinder reports three changes to how the team handled and communicated work. The account does not describe a controlled trial, so it cannot establish which change caused the later improvement.
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- Show elapsed time alongside effort. The team reported request-to-delivery time instead of relying only on estimates and active-work measures. That exposed the waiting that effort figures left out.
- Give small requests a separate route. Work estimated at under three days went through a dedicated lane staffed by two people, with a weekly release cadence.
- Limit simultaneous large projects. The team also constrained how many large projects were in progress, rather than treating every delay as a matter of working faster.
After these changes, Shinder reports that small marketing requests arrived in about eight days. The account supplies neither raw request data nor independent verification for that result, and it does not isolate the effect of any one change.
Independent reader supportYour contribution helps us test, update, and keep practical guides available for everyone.What the case means for teams measuring delivery
An effort estimate answers how much active work a task may require. A delivery commitment answers when the requester can expect the result. Teams that want to manage the second question need to track the full interval, including time spent waiting between stages.
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- Measure from the date a request is made to the date it is delivered, not just the time recorded against the task.
- Make queue stages visible so a request does not disappear between triage, estimation, planning and release.
- Set an explicit owner for the end-to-end delivery interval, even when different people own individual stages.
- Consider a distinct route for small, time-sensitive requests if the normal planning cycle leaves them waiting behind larger work.
- Track work in progress so new projects do not continually displace items already underway.
Shinder’s account is a useful example of why a short estimate does not guarantee a short wait. It describes one team’s process and reported outcome; it does not establish a universal delivery formula or prove that the same staffing and release pattern will work elsewhere.
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