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A free scan shows the junk files, broken settings and background clutter dragging Windows down - then fixes them in one click.Free scan · Windows 10 & 11Item Review Desk is a workflow app for managing exam questions through drafting, review, approval and retirement. Its defining control is that an item’s author cannot approve it: a different human must sign off before it can appear in the learner-facing practice bank. The project’s creator, Ayodeji, describes the app and its implementation in a DEV Community article published October 1, 2026; the account is a first-person project write-up, not an independent product evaluation.
How Item Review Desk handles exam questions
The app treats each exam question as an item with a current state and a transition log. The log records who moved the item, its previous and new states, when the change happened, and why. That makes the review history part of the item’s workflow rather than a separate note-taking process.
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Ayodeji describes five states:
- Draft: the item is being written.
- In review: it has been submitted for another person to assess.
- Changes requested: a reviewer has returned it for revision.
- Approved: it has passed the workflow’s approval gate.
- Retired: it has been taken out of active use.
A reviewer can request changes to an item in review or approve it subject to the app’s controls. An approved item can be retired with a note; approved or retired items can also be reopened with a note. The transition log is intended to make these decisions traceable.
Who can approve an item
According to Ayodeji, only a human can approve an item, and the author cannot approve their own work. An AI agent may draft and submit a question for review, but the creator says the project has no code path allowing the agent to approve it. In Ayodeji’s words, “Only a person can approve, and the person who wrote an item cannot approve it.”
Submission and approval are also blocked when the item-writing checks report errors. These controls create a separation between creating a question and authorizing it for use; they do not establish that a question is valid, fair or suitable for a particular exam.
What the item-writing checks look for
The project’s reported checks combine required features with warnings about possible answer-writing clues.
- Errors: a stem should pose one clear problem; negative terms such as NOT and EXCEPT should be capitalized; there should be three to five answer options; exactly one answer should be keyed as correct; “all of the above” should not be used; and the item needs a rationale and a linked learning objective.
- Warnings: the form flags a correct answer that is substantially longer than the distractors, and cases where only the correct answer repeats words from the stem.
Errors block submission or approval in the workflow as described. Warnings, by contrast, call attention to patterns a writer may want to revise. Neither a clean check nor the absence of warnings demonstrates assessment validity, reliability, accessibility or fairness; those require judgment and evaluation beyond these encoded rules.
How approved questions reach learners
The project separates review from learner access. Ayodeji describes a practice bank that displays approved items only, alongside a separate board comparing exam-blueprint targets with current item coverage. The board provides a view of whether the item set covers the intended objectives; it is not, by itself, evidence that the questions measure those objectives well.
The sample content is a Contact Centre Associate, Level 1 assessment linked to learning objectives. The author says it includes four objectives and twelve items represented across approved, in-review, changes-requested and draft states. He does not provide a state-by-state count, so those figures should not be read as a breakdown of the twelve items.
What the sample revealed about answer-writing
Ayodeji reports that seven of eleven finished items in his sample triggered a warning because the keyed answer was much longer than the distractors. He says he rewrote approved items in response, while two items submitted for review retained the warning. These are counts from the project’s seed content and the author’s reported experience, not a general finding about exam questions.
The creator also describes adjusting a lint rule for negative wording. It initially flagged lowercase “not” anywhere in a stem; he narrowed the check to the sentence asking the question, since “not” elsewhere can be ordinary scenario language. He says the revised behavior has a test covering both cases. This example illustrates a practical limitation of automated checks: a rule can catch a formatting issue but still needs a sufficiently narrow definition to avoid flagging normal prose.
The Tool Desk
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Ayodeji says he built the project with Next.js 16 and Sanity 6, embedding Sanity Studio in the Next.js site. He describes an offline mode that runs the project’s GROQ queries against seed data using groq-js, allowing a local preview without a Sanity account, and a one-click GitHub Action that imports seed data through the HTTP API. These are implementation details reported by the creator, not independently verified product guarantees.
He also recounts a defect in publishing an item. An action patched a draft and immediately attempted to publish it, but Studio still treated the item as having nothing to publish. The question remained an unpublished draft, and the practice bank continued to show eight questions instead of nine. Ayodeji says he fixed this by writing the transition directly to the published document in one transaction and removing the draft. After retrying the actions, he observed an approved question appear on the practice site with its transition logged. This is the builder’s account of a fix and retry, not an independently reproduced test.
What to assess in an item-review workflow
For a team evaluating a similar workflow, the useful questions are about controls and traceability rather than feature labels alone:
- Can the item’s author be prevented from approving their own work?
- Does the system record who changed an item, its prior and next state, the time and the reason?
- Do item-writing errors block submission or release, and are warnings clearly distinguished from errors?
- Can learners see only approved material?
- Can reviewers see item coverage against the exam blueprint?
- Are retirement, reopening and requested revisions recorded with a reason?
- Does publishing update the learner-facing bank reliably, and can the team verify the resulting state?
Item Review Desk is a concrete example of these controls in one project. The available account does not establish how it performs at scale or independently verify its security, accessibility, assessment quality or reliability.
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