Is Everything Waiting for Your Approval? How to Fix a Review Bottleneck
Find where reviews wait, make it clear who decides, and build a review process your team can rely on.
Your team has finished the work. Now it sits in a queue for your approval. You review one item, three more arrive, and everyone starts sending reminders.
If this sounds familiar, you may have a review bottleneck. The solution is not simply to read faster. You need to find out why so much work requires the same person, whether review requests are ready, and how decisions move after feedback.
Start with one type of work that regularly gets stuck.
Find the waiting point
For five recent items, write down when the author requested review, when review began, when feedback arrived, and when the final decision was made.
Also note the active time spent reviewing if you know it. A document might need 20 minutes of attention but wait three days. That is different from a review that genuinely requires several hours of expert work.
Check what the item was waiting for. Was the reviewer unavailable? Was the brief missing? Did feedback go to the wrong place? Were two people waiting for each other to approve?
Make review requests ready before they enter the queue
A reviewer should not have to hunt for the brief, find the current file, or ask what decision is needed. Use this handoff:
Work to review: Link to version 3 of the client report. Brief: Link to the agreed request. Already checked: Totals, names, and source links. Decision needed: Confirm the recommendation and any risk we should mention. Needed by: Thursday noon, so the client can use it in Friday’s meeting. Known question: The latest customer count is still awaiting confirmation.
Before you hit send, tick off what your request includes:
The known question matters. Hiding an unresolved input only makes the reviewer rediscover it.
Decide who advises and who approves
Many people can have useful views. Not all of them need a veto.
Name the final decision-maker and the areas where specialist input is required. For a campaign, that might be one person for brand and another for a regulated claim. Keep optional opinions separate from required checks.
When feedback conflicts, the decision-maker should resolve it before sending revisions to the author. Otherwise, the author becomes the referee between stakeholders.
Asana’s bottleneck guide identifies unclear handoffs and unnecessary approval steps as possible sources of delay. Use your own sample to find which steps are adding real value.
Match the review depth to the risk
A routine change using an approved template may not need the same review as a new public claim or a major customer proposal.
Match the review depth to the risk.
Agree what authors can release after a checklist, what needs a peer check, and what requires final approval. Do not remove approvals required by your organization or the nature of the work.
Write the boundaries clearly. “Use your judgment” is not enough if people will later be criticized for a decision nobody told them they could make.
Reserve review capacity
If every delivery needs an hour from the same manager, that hour belongs in the plan. It is not free time that appears after the author finishes.
Set a realistic review window with the reviewer. Batch similar low-risk checks where useful, and leave a route for genuine urgent work. If requests exceed the available review time, reduce the queue or add a qualified reviewer.
Avoid promising a response time without checking capacity. A rule that all reviews must finish within a day will not work if one person receives three days of review work each morning.
A campaign stuck in rounds
In this fictional case, a campaign goes through four rounds. The first adds a missing offer detail. The second changes the audience. The third restores the original audience after a senior leader comments. The fourth fixes the link.
This is not one slow review. It is four different problems:
The team fixes the intake brief, names one final approver, and adds a link check. Only then does it decide whether more review capacity is needed.
Give feedback in one actionable set
Group required changes together and distinguish them from optional suggestions. Point to the location, explain the concern, and connect it to the brief or a known risk.
When the author returns the work, ask for a short change summary. Review the changed areas and any affected parts, rather than reopening settled preferences without new information.
If the brief has changed, call it a scope change. Agree the effect on timing instead of treating it as another routine correction.
Where M-Tracker can help
M-Tracker’s work quality review can give authors an earlier check against the task brief and supplied outcome. That may help them spot apparent gaps before entering the human review queue.
It is not an approval-routing system or a replacement for the final approver. Keep your decision ownership and required sign-offs clear. Use saved feedback and a new review after meaningful changes, rather than generating repeated reviews without changing the work.
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Common questions
How do I know the bottleneck is improving?
Compare similar work over the next few weeks. Look at time waiting before review, preventable return reasons, and whether delivery dates become more reliable. Also ask whether the quality of released work remains acceptable.
Should the manager stop approving everything?
Possibly, but start by defining safe decision boundaries and giving the team examples. Delegate a category of decisions, not an unclear burden.
What if the client is the bottleneck?
Agree one client contact to combine feedback, a decision deadline, and what delayed feedback means for delivery. You cannot guarantee the client’s response, but you can make the dependency visible early.
Is AI review enough to release the work?
Not where a human approval or specialist check is required. It is an extra check against supplied evidence, not authority to approve on someone’s behalf.
Work you can trust, without redoing it.
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