Expert How-To Guide

A practical workflow guide for experts, editors, and reviewers delivering ethical academic support through MENTISCRIBE by MENTISERA.

1

Complete onboarding

Fill in your profile, specializations, academic qualifications, availability, portfolio links, hourly rate if applicable, and NDA confirmation.

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2

Review assigned orders

Open the expert dashboard and inspect each assigned order, files, service type, deadline, citation style, instructions, and current status.

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3

Confirm scope before starting

If instructions are incomplete, contradictory, or outside ethical support boundaries, ask for clarification through the order message thread.

4

Work within approved service boundaries

Provide editing, review, formatting, feedback, revision support, or consultation aligned with the approved order. Do not add unapproved scope.

5

Communicate professionally

Keep all order communication inside the platform. Be concise, respectful, and specific when requesting files, clarifications, or decisions.

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6

Prepare deliverables

Use clear filenames, preserve client confidentiality, include notes where useful, and make sure all requested documents are ready before submission.

7

Submit for internal quality review

Completed expert work may move through internal review before client delivery. Address quality-review feedback promptly.

8

Handle revisions carefully

Review revision requests against the approved scope. If the request introduces new work, flag it for admin review instead of proceeding informally.

Profile

Keep specialization, availability, and qualifications current.

Scope

Work only against the approved service, files, deadline, and instructions.

Communication

Ask precise questions and keep order decisions on-platform.

Delivery

Submit clean files with clear names, notes, and version discipline.

Expert Conduct Standards

  • Protect client confidentiality and never share client files outside approved systems.
  • Follow the selected citation style, university template, journal guidelines, and service instructions.
  • Do not fabricate references, data, findings, approvals, similarity results, or publication claims.
  • Do not complete exams, impersonate students, write dishonest submissions, or bypass detection systems.
  • Keep file versions organized and label deliverables clearly.
  • Escalate unclear, unethical, unsafe, or impossible requests to admin.
  • Respect deadlines and notify admin early when risk appears.
  • Use platform messages for order-specific decisions so audit history remains complete.